๐ŸŽ„

CertoMetrics - 9% OFF Special Discount Offer - Ends In:

0d 00h 00m 00s
Coupon code: SALE2026

Google Cloud Certified - Professional Cloud Architect (PR000213)

Get full access to the updated question bank and confidently prepare for your exam.

Vendor

Google

Certification

Google Professional certification

Content

249 Qs

Status

Verified

Updated

9 hours ago

Test the Practice Engine

Experience our interactive testing environment with free demo questions

Launch Free Demo
Best Value Bundle

Premium Bundle

Complete Success Suite

$103 $59

Save $44 Instantly

  • โœ“
    Full PDF + Interactive Engine Everything you need to pass
  • โœ“
    All Advanced Question Types Drag & Drop, Hotspots, Case Studies
  • โœ“
    Priority 24/7 Expert Support Direct line to certification leads
  • โœ“
    90 Days Free Priority Updates Stay current as exams change

Success Metric

98.4% Pass Rate

Verified by 15k+ Students
Secure Checkout
Popular

Standard Simulation

Practice Engine

$54

One-Time Payment

  • Web-Based (Zero Install)
  • Real Testing Environment Virtual & Practice Modes
  • Interactive Engine Drag & Drop, Hotspots
  • 60 Days Free Updates

Compatible with All Devices

Chrome
Verified Secure Checkout

Basic Tier

PDF Study Guide

$49

Digital Access

  • โœ“ Exam Questions (PDF)
  • โœ“ Mobile Friendly
  • โœ“ 60 Days Updates
Download Free Sample PDF

Verified 50-Question Preview (PR000213)

Secure Checkout

Verified Community

The CertoMetrics Standard.

Recommend the #1 platform for verified Google certification resources.

Success Network

Help a Colleague Succeed.

Invite a peer to get their own updated PR000213 prep kit.

Exam Overview

The Google Cloud Architect Professional certification validates your expertise in designing, developing, and managing robust, secure, scalable, highly available, and dynamic solutions to drive business objectives on Google Cloud. Earning this credential signifies your ability to translate business requirements into technical solutions, considering factors like infrastructure, data management, security, and cost optimization. This certification is a testament to your strategic thinking and hands-on proficiency, positioning you as a trusted leader in cloud transformation. It significantly enhances career prospects, opens doors to advanced roles, and demonstrates a commitment to mastering cutting-edge cloud architecture, making you an invaluable asset in any modern enterprise leveraging Google Cloud.

Questions

50-60

Passing Score

700/1000 (estimated)

Duration

120 Minutes

Difficulty

Expert

Level

Professional

Skills Measured

Designing and planning a cloud solution architecture
Managing and provisioning solution infrastructure
Designing for security and compliance
Analyzing and optimizing technical and business processes
Managing implementation and ensuring solution reliability

Career Path

Target Roles

Cloud Architect Solutions Architect Cloud Consultant

Common Questions

Is the material up to date?

Yes. We update our question bank weekly to match the latest Google standards. You get free updates for 90 days.

What format do I get?

You get instant access to both the **PDF** (for reading) and our **Premium Test Engine** (for exam simulation).

Is there a guarantee?

Absolutely. If you fail the PR000213 exam using our materials, we offer a full money-back guarantee.

When do I get the download?

Instantly. The download link is available in your dashboard immediately after payment is confirmed.

Free Study Guide Samples

Previewing updated PR000213 bank (50 Questions).

QUESTION 1

For this question, refer to the KnightMotives Automotive case study. KnightMotives is managing supplier data and pricing in a central MySQL database at headquarters (HO). Only personnel at HQ are allowed to change the data. Each local plant stores a copy of the data in their own MySQL database, ++ften using a different database schema or version, Every night a batch job

exports any product or price updates in XML format from the central database at HQ and stores the updated data on a central FTP server. Each local plant must download this XML file and update their local system with the new information. The local data kept by some plants has become inconsistent with the source data due to XML parsing issues. HQ wants to easily verify that all changes are applied correctly at each plant.

A
Create a Pub/Sub topic per supplier, and have HO publish all changes related to the respective supplier in JSON format on that topic. Allow all plants to create a Pub/Sub Pull subscription to receive messages for their suppliers and update their databases.
B
Create a Pub/Sub topic per supplier, and have HQ publish all changes related to the respective supplier in JSON format on that topic, allow all plants to create a Pub/Sub push subscription to receive messages for their suppliers and update their databases.
C
Migrate the self-hosted MySQL database at HQ to Cloud SW Standardize the database schema across all plants, and configure the local databases as external read replicas in Cloud SOL.
D
Migrate the self-hosted MySQL database at HQ to Cloud SQL Configure Database Migration Service Cloud SQL and the on-premises databases. When creating the migration Job, choose continuous migration instead of one-time migration.

Correct Option: D

โœ… Option D (Correct) Reasoning: Migrating HQ's MySQL to Cloud SQL modernizes the central database. Database Migration Service (DMS) with continuous migration directly replaces the unreliable XML/FTP process with robust, managed replication. This solves "XML parsing issues" and allows HQ to monitor replication status for easy verification that changes are applied correctly at each plant.

โŒ Why the other choices are incorrect:

  • Option A is incorrect: Pub/Sub is a messaging service. It shifts the parsing issue from XML to JSON and still requires plants to implement custom logic to consume messages and apply updates to their potentially different schemas, making verification of applied changes difficult.
  • Option B is incorrect: Similar to A, Pub/Sub with push subscriptions still requires custom plant logic for updates and verification. Push subscriptions also require reliable inbound connectivity to plants, which is noted as a challenge in the case study.
  • Option C is incorrect: Standardizing database schemas across all plants is a significant undertaking that is a prerequisite, not a direct solution for the replication problem. External read replicas also imply read-only access for plants, which might not align with their operational needs.


QUESTION 2

For this question, refer to the KnightMotives Automotive case study. KnightMotives has developed and deployed a model on Vertex Al that can provide personalized recommendations in the new car configuration application. Customers will receive optional equipment recommendations that best suit their persona. Previous usage data from the car configuration application has been used for model training features. You know from past experience that customer behaviour can change over time. For example, in times of economic certainty and rising stock markets, customers tend to purchase more expensive options. You

want to detect when customer behaviour gradually changes over time so you can adjust the model.

A
Configure Model Monitoring, and select training-serving skew detection.
B
Configure Model Monitoring, and select prediction drift detection.
C
Configure Dataplex auto data quality on the prediction request data features using row-level rules.
D
Configure Dataplex auto data quality on the prediction request data features using aggregate rules.

Correct Option: B

โœ… Option B (Correct) Reasoning: Prediction drift detection, a core feature of Vertex AI Model Monitoring, is designed to identify changes in the distribution of input features or model predictions over time. This directly addresses the need to detect when customer behavior gradually changes, manifesting as shifts in the data distribution, allowing for timely model adjustments.

โŒ Why the other choices are incorrect:

  • Option A is incorrect: Training-serving skew detection identifies differences between the training dataset's feature distribution and the serving dataset's feature distribution. It does not primarily detect gradual changes in the serving data itself over time.
  • Option C is incorrect: Dataplex auto data quality, whether row-level or aggregate, is primarily for data governance and quality assurance in data pipelines and datasets, not specialized for detecting prediction or concept drift in active ML models.
  • Option D is incorrect: Similar to Option C, Dataplex data quality is not the purpose-built solution for monitoring gradual shifts in model input/output distributions for an actively served ML model on Vertex AI.
QUESTION 3

For this question, refer to the KnightMotives Automotive case study. KnightMotives has developed a new car configurator application to enhance both the dealer and customer experience. The new application will be deployed on Google Kubernetes Engine (GKE). KnightMotives wants you to replicate the deployment of the application across multiple locations to ensure this critical application is always available over the internet, even during regional outages. What should you do?

A
A. Create multiple GKE clusters in different regions. Deploy part of the microservices of the app in different clusters. Configure a multi-cluster Cloud Service Mesh.
B
Create multiple GKE clusters in different regions. Deploy the app on every cluster. Configure a multi-cluster Cloud Service Mesh.
C
Create a fleet of GKE clusters in different regions Deploy part of the microservices of the app in different clusters Configure a multi-cluster Gateway.
D
Create a fleet of GKE clusters in different regions. Deploy the app on every cluster. Configure a multi-cluster Gateway.

Correct Option: D

Official explanation included in the full bundle.

QUESTION 4

For this question, refer to the KnightMotives Automotive case study. KnightMotives management wants to upskill their engineering teams. They want each team to experiment with one specific technology at a time in a sandbox environment in Google Cloud. KnightMotives management also wants to prevent any experimental projects from going into production and creating shadow IT. They want you to design a solution that supports these training objectives and follows Google-recommended practices. What should you do?

A
Create a request form where engineers can request a sandbox environment for a specific technology. Automate the creation of a project with only the relevant APIs enabled and lower the default API quota. Grant IAM roles related to this scope to the requesting team. Ensure the project is automatically deleted after a predefined amount of time.
B
Create a request form where engineers can request a sandbox environment and automate the creation of a project in which the requesting engineer obtains full permissions. Within the details of the request form, highlight the expectation of keeping costs under control and the scope limited to the requested services.
C
Create a separate billing account for all sandbox projects. Grant all engineers the role of Billing Account User on this billing account. Create a folder called Sandboxes in the Organization's Resource Manager. Grant all users the Project Creator role on this folder.
D
Create a secondary Google Cloud organization which is to be used for R&D, separate from the production organization. Create a folder for each team under this organization. Create a project for each team member in the relevant folder. Grant each team member full access to their dedicated project. Grant each team manager the permission of Security Admin on the respective folder. Have them enable the relevant APIs in each team member's project.

Correct Option: D

Official explanation included in the full bundle.

QUESTION 5

For this question, refer to the Altostrat Media case study. Altostrat stores a large library of media content, including sensitive interviews and documentaries, in Cloud Storage. They are concerned about the confidentiality of this content and want to protect it from unauthorized access. You need to implement a Google-recommended solution that is easy to integrate and provides Altostrat with control and auditability of the encryption keys. What should you do?

A
Use customer-managed encryption keys (CMEK) for all Cloud Storage buckets storing sensitive media content. Implement fine-grained access control using IAM roles and groups to restrict access to sensitive buckets.
B
Implement client-side encryption before uploading it to Cloud Storage. Store the encryption keys in a Hashi Corp Vault instance deployed on Google Kubernetes Engine (GKE), Implement fine-grained access control to sensitive Cloud Storage buckets using IAM roles.
C
Configure Cloud Storage to use server-side encryption with Google-managed encryption keys. Create a bucket policy to restrict access to only authorized Google groups and required service accounts,
D
Use Cloud Storage default encryption at rest. Implement fine-grained access control using IAM roles and groups to restrict access to sensitive buckets.

Correct Option: A

โœ… Option A (Correct) Reasoning: Customer-managed encryption keys (CMEK) stored in Cloud KMS provide Altostrat with direct control and auditability over their encryption keys, a key requirement. CMEK is a Google-recommended solution for sensitive data, easy to integrate with Cloud Storage, and fine-grained IAM ensures restricted access.

โŒ Why the other choices are incorrect:

  • Option B is incorrect: Client-side encryption with HashiCorp Vault on GKE is significantly more complex and not "easy to integrate" compared to using native Google Cloud services like KMS. It also adds substantial operational overhead.
  • Option C is incorrect: Server-side encryption with Google-managed encryption keys (GMEK) does not provide Altostrat with control or auditability over the encryption keys themselves, failing a core requirement.
  • Option D is incorrect: Cloud Storage default encryption uses Google-managed encryption keys (GMEK). Altostrat would not have control or auditability over these keys, which contradicts the explicit requirement.


QUESTION 6

For this question, refer to the Altostrat Media case study. You are part of Altostrat's security team. You want to analyze the security posture in Altostrat Google Cloud environment by using Gemini in Security Command Center.

What should you do?

A
Configure Gemini to only show successful attack attempts, filtering out any unsuccessful logins or probes.
B
Use Gemini to generate effective firewall rules that block all known attack vectors.
C
Instruct Gemini to automatically remediate the most critical security findings without human intervention.
D
Ask Gemini questions about potential vulnerabilities and attack paths in the infrastructure.

Correct Option: D

โœ… Option D (Correct) Reasoning: Gemini in Security Command Center is designed to help security teams understand their security posture by enabling natural language queries about findings, vulnerabilities, and potential attack paths, providing deeper insights and context for analysis.

โŒ Why the other choices are incorrect:

  • Option A is incorrect: Filtering out unsuccessful attempts or probes would severely limit the ability to understand attack patterns and potential threats, hindering comprehensive security analysis.
  • Option B is incorrect: While Gemini can aid in understanding risks, its primary function is not to automatically generate complex, comprehensive firewall rules blocking "all" known attack vectors without expert review, which can cause service disruption.
  • Option C is incorrect: Automatic, unsupervised remediation of critical findings is a risky practice that lacks human oversight and could lead to unintended outages or misconfigurations. Gemini assists with analysis and recommendations, not autonomous remediation.


QUESTION 7

For this question, refer to the Altostrat Media case study. Altostrat is experiencing fluctuating computational demands for its batch processing jobs. These jobs are not time-critical and can tolerate occasional interruptions. You want to optimize cloud costs and address batch processing needs.

What should you do?

A
Deploy spot VM instances.
B
Set up standard VM instances,
C
Use Cloud Run functions.
D
Configure reserved VM instances.

Correct Option: A

โœ… Option A (Correct) Reasoning: Spot VM instances are significantly cheaper than standard VMs and are designed for fault-tolerant, non-time-critical batch jobs that can tolerate interruptions. This directly addresses the scenario's requirements for optimizing costs and handling fluctuating, interruptible batch processing.

โŒ Why the other choices are incorrect:

  • Option B is incorrect: Standard VM instances are more expensive and do not offer the cost optimization benefits for interruptible workloads that Spot VMs provide.
  • Option C is incorrect: While Cloud Run can handle batch-like tasks, the question's context of "fluctuating computational demands" and "tolerating interruptions" for cost optimization strongly points to VM instance types, specifically Spot VMs.
  • Option D is incorrect: Reserved VM instances are for predictable, long-running workloads, not for jobs with fluctuating demands that can tolerate interruptions, and they do not offer the same flexibility or cost model as spot instances for interruptible tasks.


QUESTION 8

For this question, refer to the Altostrat Media case study. Altostrat is concerned about sophisticated, multi-vector Distributed Denial of Service (DDoS) attacks targeting various layers of their infrastructure. DDoS attacks could potentially disrupt video streaming and cause financial losses. You need to mitigate this risk.

What should you do?

A
Configure Cloud Next Generation Firewall (NGFW) with custom rules to filter malicious traffic at the network level.
B
Deploy Google Cloud Armor with pre-configured and custom rules for L3/L4 and L7 protection.
C
Activate Security Command Center to monitor security posture and detect potential threats.
D
O Set up VPC Service Controls to restrict access to sensitive resources and prevent data exfiltration.

Correct Option: B

โœ… Option B (Correct) Reasoning: Google Cloud Armor is purpose-built for comprehensive DDoS protection. It effectively mitigates sophisticated multi-vector attacks across L3/L4 (volumetric) and L7 (application-layer) using pre-configured WAF rules and custom rules, integrated with Google Cloud Load Balancing. This directly addresses Altostrat's concern about disruptive DDoS attacks.

โŒ Why the other choices are incorrect:

  • Option A is incorrect: Cloud Next Generation Firewall provides L4/L7 traffic filtering within or at the perimeter of a VPC. While beneficial for network security, it is not the primary service for large-scale, multi-vector DDoS protection at the global edge, which Cloud Armor offers.
  • Option C is incorrect: Security Command Center monitors security posture and detects potential threats. It's a reporting and detection platform, not a service that actively mitigates in-progress DDoS attacks.
  • Option D is incorrect: VPC Service Controls create security perimeters to restrict access to sensitive resources and prevent data exfiltration. It addresses data loss prevention and unauthorized API access, not DDoS attack mitigation.


QUESTION 9

For this question, refer to the Altostrat Media case study. Altostrat needs to analyze the performance of its media processing pipeline running on Java-based Cloud Run function. You need to select the most effective tool for the task, What should you?

A
Instrument the code to use Cloud Trace.
B
Query logs in Cloud Logging.
C
Inspect data from Snapshot Debugger
D
Analyze the data via Cloud

Correct Option: D

โœ… Option D (Correct) Reasoning: Cloud Profiler provides continuous, low-overhead performance profiling for applications, including Java on Cloud Run. It visualizes CPU, heap, wall time, and contention profiles, directly pinpointing code "hot spots" causing performance issues within the Java function. This is the most effective tool for detailed performance analysis.

โŒ Why the other choices are incorrect:

  • Option A is incorrect: Cloud Trace focuses on distributed tracing, showing latency across services. While valuable for end-to-end performance, it doesn't provide granular internal profiling of a single Java function's CPU, memory, or thread-level bottlenecks.
  • Option B is incorrect: Cloud Logging collects application logs for operational insights and errors. While metrics can be logged, it's not a profiling tool designed to identify performance bottlenecks like CPU-intensive code paths or memory allocation patterns within the application.
  • Option C is incorrect: Snapshot Debugger allows inspecting the state of a running application at a specific point without stopping it. It's primarily used for debugging logical errors and understanding variable states, not for continuous performance analysis or identifying resource-intensive code sections.


QUESTION 10

For this question, refer to the Altostrat Media case study. Altostrat is using Apigee for API management and wants to ensure their APIs are protected from overuse and abuse. You need to implement an Apigee feature to control the total number of API calls for cost management. What should you do?

A
Integrate OAuth 2.0 authorization.
B
Activate XML threat protection.
C
Configure Quota policies.
D
Set up API key validation.

Correct Option: C

โœ… Option C (Correct) Reasoning: Apigee Quota policies explicitly define and enforce limits on the number of API requests an application or developer can make over a specific period. This directly addresses controlling API call volume for cost management, preventing overuse, and mitigating abuse.

โŒ Why the other choices are incorrect:

  • Option A is incorrect: OAuth 2.0 authorization manages who can access resources by providing delegated access, not how many requests they can make.
  • Option B is incorrect: XML threat protection focuses on securing APIs from malicious XML payloads, such as XXE attacks or large entity expansions, not call volume.
  • Option D is incorrect: API key validation authenticates who is making the API call. While crucial for security, it doesn't, by itself, limit the number of calls.


QUESTION 11

For this question, refer to the Altostrat Media case study. Altostrat's development team is using a microservices architecture for their application. You need to select the most suitable testing approach to ensure that individual microservices function correctly in isolation.

What should you do?

A
Use load testing.
B
Run unit testing.
C
Execute integration testing.
D
Perform end-to-end testing.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 12

Your team plans to use Vertex Al to develop and deploy machine learning models for various use cases for fraud detection, product recommendations, and customer churn prediction. You want to enhance the security posture of the Vertex Al and Workbench environment by restricting data exfiltration.

What should you do?

A
Enable VPC Flow Logs to monitor network traffic to and from Vertex Al services and to identify suspicious activity.
B
Create a service perimeter and include m. google Apis .com and document google com as protected services.
C
Create a service perimeter and include aiplatfc=tl.googleapis.com and notebooks googleapis.com as protected services.
D
Enable Private Google Access for the VPC network to allow Vertex Al services to access public Google services without traversing the public internet.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 13

You have an application that uses Vertex Al Feature Store to manage and serve product features for real-time recommendations. You want to monitor the performance and health of the application. You need to understand the overall duration of a request.

What should you do?

A
Track the online serving throughput of your requests.
B
Measure the Latency of your requests.
C
Observe the Request size in your feature store.
D
Monitor the Queries per second for your feature store.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 14

A large healthcare provider's primary electronic health record (EHR) application runs on Compute Engine instances with a Cloud SOL for PostgreSQL database, all located in the us-west1 region. A new regulatory mandate requires you to implement and document a business continuity plan (BCP). This plan must ensure that the EHR application can be fully recovered and operational in a different geographical region with a recovery time objective (RTO) of two hours and a recovery point objective (RPO) of 15 minutes. You need to design a disaster recovery strategy that meets these strict BCP requirements.

What should you do?

A
Deploy active managed instance groups (MIGs) in both us-west: and us- east: afronted by a global external HTTP(S) Load Balancer. For the database, use a cross-region read replica in us-east1, and rely on load balancer health checks to automatically fail over all traffic during an outage.
B
Use Terraform to define the application's compute infrastructure. During a disaster, configure the Cloud SQL database in us-west1 to use a cross-region read replica in us-east, build the environment in us-east1 and promote the replica.
C
Take daily snapshots of the Compute Engine disks and Cloud SQL database. Copy these snapshots to a Cloud Storage bucket in us-east 1. During a disaster, manually restore the virtual machines (VMs) and database from thelatest snapshots.
D
Deploy a regional MIG in us-west1 for high availability, and rely on the Google Cloud SLA to ensure the region remains online.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 15

A financial services company is decommissioning one of its on-premises data centers. As part of this initiative, the company needs to perform a one-time migration of 500 TB of historical transaction archives to a Cloud Storage bucket for long-term retention. The data centers internet egress is 1 Gbps, which is shared with critical business operations. You must complete the secure data transfer within a 60-day window to meet the decommissioning deadline.

What should you do?

A
Provision a Partner Interconnect connection with a 10 Gbps capacity to accelerate the data transfer, and then use Storage Transfer Service.
B
Order a Transfer Appliance, copy the data to the appliance using your high-speed local network, and ship it back to Google to upload the data into your Cloud Storage bucket.
C
Write a script that uses the gcloud storage cp --parallel command to upload the data in chunks over the public internet during off-peak hours.
D
Use Storage Transfer Service to create an agent-based transfer job that moves the data from the on-premises file servers directly to the Cloud Storage bucket.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 16

A retail company's most critical application is its online payment processing system. The business has a requirement that the system must be able to survive a complete zonal outage while minimizing cost. You need a design solution that can handle a zonal failure.

What should you do?

A
Deploy the application in an active-active configuration using managed instance groups (MIGs) in two different regions, fronted by a global external HTTP(S) Load Balancer and backed by a multi-regional database like Spanner
B
Deploy the application on a regional MIG to provide high availability across multiple zones in the primary region.
C
Configure the regional MIG to use only Spot VMS to aggressively minimize operational costs while maintaining high availability.
D
Deploy the application on Compute Engine instances across multiple regions and rely on daily snapshots for recovery to achieve the lowest possible cost.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 17

A global media company is launching a new web application. The application backend is hosted on Compute Engine in us-centrall and serves both static assets (images, CSS, and JavaScript) and dynamic, user-specific content from a Cloud SQL database in the same region. Early user feedback from Europe and Asia indicates significant page load delays due to slow loading static content. You need to design a solution that minimizes latency for all global users accessing the static content.

What should you do?

Choose 2 answers

A
Vertically scale the Compute Engine instances in us-centrally by increasing their machine size.
B
Create Cloud SQL read replicas in regions in Europe and Asia, and direct all database read traffic from those continents to their local replica.
C
Use a regional external Network Load Balancer in us-central to better distribute the incoming global traffic.
D
Enable Cloud CDN for the backend service that serves the static assets, and configure it as part of a global external HTTP(S) Load Balanced
E
Deploy the application frontend service to Compute Engine managed instance groups in regions in Europe and Asia. Use a global external HTTP(S) Load Balancer to route user traffic to the nearest region.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 18

You are developing a deep learning model that requires high-performance access to large volumes of media data currently stored in Cloud Storage. Model training will be executed on multiple VM instances with GPUs attached, but your application must interact with the data as if it were on the local file system. You need to minimize complexity and cost.

What should you do?

A
Use the gustily command line tool to download the data to your VM instances.
B
Copy the data from Cloud Storage to Filestore, and then mount the Filestore volume as a local file system on your VM instances.
C
Create a shared persistent disk, attach the disk to your VM instances, and load data from the Cloud Storage bucket.
D
O Use the gcloud command line tool to mount the Cloud Storage bucket as a local file system, and perform read/write operations in your bucket using standard file system semantics.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 19

Your company is expanding its Al-powered operations nationwide and has chosen accelerator-based compute for the Al workloads. The batch image processing workloads are not time-sensitive and can tolerate interruptions. You need to rapidly deploy cost-effective accelerator nodes for these batch tasks, ensuring rapid deployment and data persistence when necessary.

What should you do?

A
Deploy spot VMS with attached persistent disks and implement checkpoint mechanisms.
B
Deploy spot VMS with local SSD to reduce time for bursty workloads.
C
Deploy standard VMS with configured accelerators and attached persistent disks.
D
Deploy Cloud Run functions with ephemeral local SSD.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 20

A large, multinational corporation is migrating to Google Cloud. The company has several distinct business units: Finance, Marketing, and Research and Development (R&

D
. Grant the compliance team the roles/viewer role for each organization.
A
Place all projects directly under the Organization node. Use network tags and service accounts to enforce security boundaries between the different department workloads. Apply the resource location Organization Policy on the Finance project.
B
Create a folder for each department under the root Organization node. Apply the resource location Organization Policy on the Finance folder. Within the Marketing folder, create separate projects for mktg-prod and mktg-dev. Grant the compliance team the roles/ viewer role at the Organization level.
C
Create a single project for each department. Apply the resource location policy directly to the Finance project. Grant the compliance team the roles/browser role on each project individually.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 21

Your organization is going to migrate applications to Kubernetes and use managed cloud services to deploy applications. Your team is new to Kubernetes and wants to quickly onboard engineers. You want to reduce operational overhead, so the engineering team can focus on developing consumer requirements instead of maintaining the infrastructure. What should you do?

A
Package your application into a Docker image, and deploy it to Kubernetes on Compute Engine.
B
Leverage Cloud Build to create a container image, and deploy it automatically to Kubernetes on Compute Engine.
C
Assess application and dependencies for containerization Develop a migration strategy for deployment to GKE in Standard mode.
D
Assess application and dependencies for containerization. Develop a migration strategy for deployment to GKE in Autopilot mode.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 22

Your company runs a critical, revenue-generating ecommerce application that is served by a regional managed instance group (MIG) behind an external HTTP(S) Load Balancer. The operations team is currently overwhelmed with low-priority notifications and is starting to ignore alerts. Your team's service level objective (SLO) is to maintain 99.9% availability, which is measured by the ratio of successful requests (2xx status codes) to total requests. You want to minimize noise from non-critical events and ensure that the team is only notified of issues that are actionable and threaten the SLO.

What should you do?

A
Configure alerts based on predictive metrics. use the instance count of the MIG as the primary metric to trigger an alert.
B
Implement an error budget policy based on the availability of the SLO. Create a "page" alert that triggers only when the rate of burn of the error budget predicts a full exhaustion within the next 24 hours.
C
Focus on cause-based alerts, creating alerting policies with thresholds for the Compute Engine instances, including CPU utilization, memory usage, disk 1/0, and network traffic.
D
Create log-based alerts for only the WARN and ERROR log entries generated by the application to ensure that no potential issue is missed.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 23

You manage a highly distributed, hybrid- and multi-cloud IT environment, and your developers rely heavily on Prometheus for their workflows. You need a cloud- based, highly scalable, low-maintenance enterprise solution that supports Prometheus Query Language (PromQL) queries, quick metric viewing, and efficient issue diagnosis. What should you do?

A
Enable Google Cloud Managed Service for Prometheus to monitor and alert on your workloads at scale.
B
Build a SaaS-based, Prometheus-compatible solution to display metrics for each cloud in a customizable way.
C
Deploy a Prometheus operator in your existing Kubernetes and Serverless setup across multi-cloud environments.
D
Set up Cloud Monitoring as a single pane of glass across multi-cloud environments.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 24

Your organization uses Google Kubernetes Engine (GKE) and Amazon Elastic Kubernetes Service (EKS) to manage a complex Kubernetes environment across multiple cloud providers. You need to deploy a solution that streamlines configuration management, enforces security policies, and ensures consistent application deployment across all of the environments. You want to follow Google-recommended practices. What should you do?

A
Deploy Cross plane for managing cloud resources as Kubernetes objects, Flux CD for Gi tops-based configuration synchronization, and Kyver no for policy enforcement.
B
Utilize Config Sync as part of GKE to synchronize configurations from a centralized repository, and utilize Policy Controller to enforce policies using OPA Gatekeeper.
C
Deploy Customized for configuration customization, Config Sync with multiple Git repositories, and a script to enforce security policies.
D
Leverage Argo CD for GitOps-based continuous delivery and Open Policy Agent(OPA) for policy enforcement, and develop a controller for multi-cluster configuration management.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 25

Your company is rapidly deploying containerized microservices on Google Kubernetes Engine (GKE) using a robust CI/CD pipeline. Security is a top priority, and you need to implement a comprehensive and efficient strategy to prevent container image vulnerabilities from reaching your GKE production environment. What should you do?

Choose 2 answers

A
Use a custom security policy within your container image that restricts access to specific network ports and resources.
B
Review the security reports generated by Artifact Analysis for each container image before deployment to GKE.
C
Enable Artifact Analysis for the container images, and stop deployment if critical vulnerabilities are found.
D
Incorporate vulnerability scanning before building container images, and use Google-maintained base images for your container deployments.
E
Enable Shielded GKE Nodes on the production cluster to automatically block the execution of container images with known vulnerabilities.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 26

Your organization is implementing a new cloud-native application on Google Cloud and needs to ensure compliance with the ISO/IEC 27001 framework. You want to leverage Google Cloud's security reports and documentation to support your ISO/IEC 27001 audit process. What should you do?

A
Utilize the Cloud Audit Logs service for accessing and requesting the ISO/IEC 27001 reports.
B
Engage an independent auditor to conduct an ISO/IEC 27001 audit of your organization's Google Cloud implementation.
C
Download the ISO/IEC 27001 report for Google Cloud through internet search.
D
Review the Compliance Reports Manager for information about ISO/IEC 27001compliance and related documentation on obtaining reports through your Google Cloud account.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 27

Your company is a global financial services provider that processes and analyzes a high volume of credit card transactions in real time for fraud detection. Your analytics team must run complex batch queries on the same transaction data for daily reporting. You need to design a data processing solution that can handle both real-time and batch processing of the transaction data while minimizing operational overhead and infrastructure management.

What should you do?

Choose 2 answers

A
Use Dataflow to process the streaming data.
B
Use Dataprep to ingest the transactions.
C
Use Firestore to store and analyze the transaction data.
D
Use a Dataproc cluster for both the streaming and batch workloads.
E
Use BigQuery for the batch analytics reports.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 28

Your company uses a custom-built application running on a Compute Engine virtual machine (VM). This application processes real-time sales data and writes it to a zonal Persistent Disk. A recent internal audit requires that you implement a backup and recovery plan to protect against zonal failures. Your company has a strict policy that all backup data must be retained for at least 90 days and stored in a separate project with limited access. You need to implement a fully automated backup solution that meets these requirements with minimal operational overhead.

What should you do?

A
Use the Backup and Disaster Recovery (DR) service to create a backup plan. Configure the backup plan to take daily snapshots and store them in a backup vault with a 90-day retention policy.
B
Write a script to create daily backups of the Persistent Disk. Copy the backups to a different zone and apply a label to each snapshot to indicate the deletion date.
C
Use gcloud commands to create snapshots of the Persistent Disk. Store the snapshots in a regional Cloud Storage bucket and configure a lifecycle rule to delete objects older than 90 days.
D
Create a snapshot schedule to automatically create Persistent Disk snapshots and use a script to move and store them in a multi-regional Cloud Storage

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 29

You are architecting a new application feature for a healthcare provider based in The feature needs to summarize sensitive patient notes that are submitted by clinicians. A critical requirement is that the content of these patient notes must never be processed outside of Qataris borders. You want to use a powerful, pre-trained generative model for the summarization task while strictly adhering to the data residency constraint.

What should you do?

A
Write application code that sends the patient notes explicitly to the Gemini API endpoint in Qatar for summarization.Protect the API by VPC-Service Controls.
B
Use the Cloud Natural Language API to analyze the text and configure it to generate a summary of the patient notes.
C
Gather a large, anonymized dataset of medical notes. Use Vertex AI Training to train a custom summarization model from scratch, deploying it in a Qatar region.
D
Use Vertex Al Model Garden to select a Gemma model. Deploy this model to a Vertex Al Endpoint within a Google Cloud region located in Qatar.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 30

Your ecommerce web application includes many products with pictures and videos. You need to improve the application's page load speed and reduce the latency for customer requests. What should you do?

Choose 2 answers

A
Deploy your application to Cloud Run and enable concurrency.
B
Change the database from Bigtable to Spanner.
C
use Memory store for Redis.
D
Implement CDN with the application's external HTTPS load
E
Deploy your application to a GKE Autopilot cluster instead of a regular GKE cluster.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 31

You need to build and deploy a containerized web application to Google Cloud. The application is very write-heavy and requires a relational database as its data store. The application needs to be highly available in multiple cloud regions. You want to minimize operational overhead while following Google-recommended practices. What should you do?

A
Deploy the application to a GKE standard cluster behind a global HTTPS load balancer. Use Firestore as the database with multi-region locations enabled.
B
Deploy the application to a GKE standard cluster with a global ingress to expose the application endpoint. Use Bigtable as the database.
C
Deploy the application to Cloud Run in multiple regions behind a global HTTPS load balancer Use Spanner as the database.
D
Deploy the application to GKE clusters in multiple regions and expose the application endpoint with a regional load balancer. Use Cloud SOL as the database.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 32

Your team is running applications on a Google Kubernetes Engine (GKE) cluster with a private endpoint. You've set up a Cloud Deploy pipeline, but deployments to the GKE cluster are failing. You need to resolve the issue. What should you do?

A
Use VPC Service Controls with Cloud Build. Update the Cloud pipeline to use Cloud Build as its execution environment.
B
Create a Cloud Build private pool that is peered with the same VPC network as your GKE cluster. Update the Cloud Deploy pipeline to use this private pool as its execution environment.
C
Create a Cloud Build private pool in the default VPC. Use Cloud Build to deploy the applications to the GKE cluster.
D
Create a custom target in Cloud Deploy Update the deploy pipeline to use the custom target for the application deployment.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 33

You need to build a continuous delivery pipeline for a containerized application in Google Cloud. You want to run all your tests in the pipeline to improve your application's quality. What should you do?

A
1. After the developers push the code to a central repository, trigger Cloud Build to build the application container. Then run unit tests.2. If unit tests are successful, deploy the container to a testing environment and run integration tests.3. If the integration tests are successful, deploy the container to a production environment and run acceptance tests.
B
1. After the developers push the code to a central repository, trigger Cloud Build to run unit tests. If all unit tests are successful, build the application container and push it to a central registry.2. Trigger Cloud Build to deploy the container to a testing environment and run integration tests and acceptance tests.3. If all tests are successful, deploy the application to the production environment and run the smoke tests.
C
1. Run unit tests in the developer's local environment before committing and pushing the code to a central repository2. After the code is pushed, trigger Cloud Build to build the application container and deploy the container to a testing environment and run integration tests.3. If the integration tests are successful, deploy the container to your production environment and run acceptance tests.
D
1. Automatically run unit tests in a local environment once the code is changed. If all tests are successful, build a container.2. Trigger Cloud Build to deploy the container to a testing environment, and run integration tests and acceptance tests.3. If all tests are successful, tag the code as production ready. Trigger Cloud Build to build and deploy the container to the production environment.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 34

You are deploying a critical application with a stateliest containerized frontend on Cloud Run and a Cloud SQL for PostgreSQL backend. The application experiences unpredictable traffic spikes, and the business requires the ability to immediately roll back a failed deployment to the last known good state. You need to apply a deployment strategy that aligns with Site Reliability Engineering (SRE) principles for both the application code and the database schema updates, while meeting the business's requirements.

What should you do?

A
Package the database schema migration script within the container to be executed on every container startup before the application process begins.
B
Use a single CI/CD pipeline that first applies database schema changes and then deploys the new Cloud Run revision.
C
Configure the CI/CD pipeline to use the latest container tag for deployments with database schema changes applied manually as needed.
D
Separate CI/CD pipelines for database schema migrations from application deployments. When deploying a new Cloud Run revision, use gradual traffic split.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 35

You are monitoring Google Kubernetes Engine (GKE) clusters in a Cloud Monitoring workspace. As a Site Reliability Engineer (SRE), you need to triage incidents quickly.

What should you do?

A
1. Create a custom dashboard in the Cloud Monitoring workspace for each incident.2. Add metrics and create alert policies.
B
1. Navigate the predefined dashboards in the Cloud Monitoring workspace.2. Add metrics and create alert policies.
C
1. Write a shell script that gathers metrics from GKE nodes, and publish these metrics to a Pub/Sub topic.2. Export the data to Big Query, and make a Data Studio dashboard.
D
1. Navigate the predefined dashboards in the Cloud Monitoring workspace.2. Create custom metrics and install alerting software on a Compute Engine instance.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 36

Your company wants to optimize Google Cloud costs for their development and staging environments. These environments are workstations used by developers Monday through Friday, 9:00 AM to 6:00 PM local time. Currently, the environments run on a fleet of n1-standard-4 Compute Engine instances that operate 24/7, leading to a high monthly cost for resources that are idle more than 70% of the time. You need to implement a solution that significantly reduces the monthly cost of these non-production environments without impacting the development team's productivity during work hours. What should you do?

A
Schedule the virtual machines to start and stop to match your team's work schedule.
B
Re-architect the environments to run on a regional managed instance group (MIG) with autoscaling enabled.
C
Upgrade all instances to the N2 machine series.
D
Purchase three-year committed use discounts (CUDs) for the existing ni-standard-4 instances

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 37

You are designing a new insurance claims processing application that will be deployed on Google Kubernetes Engine (GKE). Your company's compliance team requires a complete and non-repudiable audit trail for all administrative actions from day one. Your application must capture who deploys a new container image, who modifies the GKE cluster's configuration, and who interacts with running pods or Kubernetes secrets using kubectl. What should you do?

A
Activate the Security Command Center Premium tier to analyze GKE logs and detect threats, vulnerabilities, and misconfigurations in real time.
B
Deploy a Daemon Set to every node in the GKE cluster that runs a logging agent to collect and forward all container logs to Cloud Logging.
C
Enable GKE Audit Logging to send Kubernetes API server logs to Cloud Logging, and ensure Cloud Audit Logs are enabled for the project.
D
Enable Binary Authorization on the GKE cluster, and create a policy that requires all deployed container images to be signed by a trusted attestor.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 38

Your machine learning (ML) engineers use self-hosted Jupyter notebooks for tasks such as data preparation, model training, and fine-tuning. The operations team then deploys these models in various environments. You want to provide maximum flexibility for ML engineers, promote collaboration with a common toolset, and leverage Google Cloud's scalability, while following Google-recommended practices.

What should you do?

A
Use TensorFlow for machine learning and Cloud Deploy for model deployment.
B
Use Colab Enterprise for machine learning and DevOps for model deployment.
C
Use Vertex Al for machine learning and machine learning operations (MLOps) for model deployment.
D
Use AutoML for machine learning and Cloud Deploy for model deployment.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 39

You are using a GitHub repository for your application's source code. You want to set up an efficient and secure continuous deployment process to automatically build and deploy the application to Cloud Run whenever a pull request is merged.

What should you do?

A
Create a GitHub Enterprise trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build and deploy the application to Cloud Run. Save the deployment credential to Secret Manager.
B
Create a workflow using GitHub Actions to build and deploy the application to Cloud Run once a pull request is merged. The workflow will use a service account key checked in with your source code for deployment permission.
C
Create a GitHub webhook trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build a container image and save it in Artifact Registry. Use Config Sync to deploy the application to Cloud Run.
D
Connect your repository using the Cloud Build GitHub app. Create a trigger in Cloud Build. Once a pull request is merged, trigger Cloud Build to build and deploy the application to Cloud Run

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 40

You are designing a central, automated infrastructure deployment process for your organization using Terraform and Cloud Build. The security team prohibits the use of long-lived, static service account keys in any CI/CD pipeline. Additionally, while developers can propose infrastructure changes for peer review, they must not have permissions to directly apply changes in the production project. You need to design a secure and automated workflow for applying Terraform changes that meets the security team's requirements and ensures proper governance. What should you do?

A
Configure the pipeline to only run terraform plan. After a pull request is approved, have an authorized developer run terraform apply from a secured workstation.
B
Create a privileged service account and store its JSON key in Secret Manager. Configure the Cloud Build pipeline to fetch this key during execution to authenticate Terraform.
C
Configure the Cloud Build pipeline to use service account impersonation. Set up a trigger that automatically runs terraform apply when a pull request is merged.
D
Use service account impersonation in Cloud Build. Configure the pipeline to run terraform plan on pull requests, and require manual approval before running terraform apply.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 41

For this question, refer to the TerramEarth case study. You start to build a new application that uses a few Cloud Functions for the backend. One use case requires a Cloud Function func_display to invoke another Cloud Function func_query. You want func_query only to accept invocations from func_display. You also want to follow Google's recommended best practices. What should you do?

A
Create a token and pass it in as an environment variable to func_display. When invoking func_query, include the token in the request. Pass the same token to func_query and reject the invocation if the tokens are different.
B
Make func_query 'Require authentication.' Create a unique service account and associate it to func_display. Grant the service account invoker role for func_query. Create an id token in func_display and include the token to the request when invoking func_query.
C
Make func_query 'Require authentication' and only accept internal traffic. Create those two functions in the same VPC. Create an ingress firewall rule for func_query to only allow traffic from func_display.
D
Create those two functions in the same project and VPC. Make func_query only accept internal traffic. Create an ingress firewall for func_query to only allow traffic from func_display. Also, make sure both functions use the same service account.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 42

For this question, refer to the TerramEarth case study. You have broken down a legacy monolithic application into a few containerized RESTful microservices. You want to run those microservices on Cloud Run. You also want to make sure the services are highly available with low latency to your customers. What should you do?

A
Deploy Cloud Run services to multiple availability zones. Create Cloud Endpoints that point to the services. Create a global HTTP(S) Load Balancing instance and attach the Cloud Endpoints to its backend.
B
Deploy Cloud Run services to multiple regions. Create serverless network endpoint groups pointing to the services. Add the serverless NEGs to a backend service that is used by a global HTTP(S) Load Balancing instance.
C
Deploy Cloud Run services to multiple regions. In Cloud DNS, create a latency-based DNS name that points to the services.
D
Deploy Cloud Run services to multiple availability zones. Create a TCP/IP global load balancer. Add the Cloud Run Endpoints to its backend service.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 43

For this question, refer to the TerramEarth case study. You are migrating a Linux-based application from your private data center to Google Cloud. The TerramEarth security team sent you several recent Linux vulnerabilities published by Common Vulnerabilities and Exposures (CVE). You need assistance in understanding how these vulnerabilities could impact your migration. What should you do? (Choose two.)

A
Open a support case regarding the CVE and chat with the support engineer.
B
Read the CVEs from the Google Cloud Status Dashboard to understand the impact.
C
Read the CVEs from the Google Cloud Platform Security Bulletins to understand the impact.
D
Post a question regarding the CVE in Stack Overflow to get an Explanation:.
E
Post a question regarding the CVE in a Google Cloud discussion group to get an Explanation:.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 44

For this question, refer to the TerramEarth case study. TerramEarth has a legacy web application that you cannot migrate to cloud. However, you still want to build a cloud-native way to monitor the application. If the application goes down, you want the URL to point to a "Site is unavailable" page as soon as possible. You also want your Ops team to receive a notification for the issue. You need to build a reliable solution for minimum cost. What should you do?

A
Create a scheduled job in Cloud Run to invoke a container every minute. The container will check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.
B
Create a cron job on a Compute Engine VM that runs every minute. The cron job invokes a Python program to check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.
C
Create a Cloud Monitoring uptime check to validate the application URL. If it fails, put a message in a Pub/ Sub queue that triggers a Cloud Function to switch the URL to the "Site is unavailable" page, and notify the Ops team.
D
Use Cloud Error Reporting to check the application URL. If the application is down, switch the URL to the "Site is unavailable" page, and notify the Ops team.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 45

For this question, refer to the TerramEarth case study. You are building a microservice-based application for TerramEarth. The application is based on Docker containers. You want to follow Google-recommended practices to build the application continuously and store the build artifacts. What should you do?

A
Configure a trigger in Cloud Build for new source changes. Invoke Cloud Build to build container images for each microservice, and tag them using the code commit hash. Push the images to the Artifact Registry.
B
Configure a trigger in Cloud Build for new source changes. The trigger invokes build jobs and build container images for the microservices. Tag the images with a version number, and push them to Cloud Storage.
C
Create a Scheduler job to check the repo every minute. For any new change, invoke Cloud Build to build container images for the microservices. Tag the images using the current timestamp, and push them to the Artifact Registry.
D
Configure a trigger in Cloud Build for new source changes. Invoke Cloud Build to build one container image, and tag the image with the label 'latest.' Push the image to the Artifact Registry.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 46

For this question, refer to the TerramEarth case study. TerramEarth has about 1 petabyte (PB) of vehicle testing data in a private data center. You want to move the data to Cloud Storage for your machine learning team. Currently, a 1-Gbps interconnect link is available for you. The machine learning team wants to start using the data in a month. What should you do?

A
Request Transfer Appliances from Google Cloud, export the data to appliances, and return the appliances to Google Cloud.
B
Configure the Storage Transfer service from Google Cloud to send the data from your data center to Cloud Storage.
C
Make sure there are no other users consuming the 1Gbps link, and use multi-thread transfer to upload the data to Cloud Storage.
D
Export files to an encrypted USB device, send the device to Google Cloud, and request an import of the data to Cloud Storage.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 47

For this question, refer to the Helicopter Racing League (HRL) case study. Your team is in charge of creating a payment card data vault for card numbers used to bill tens of thousands of viewers, merchandise consumers, and season ticket holders. You need to implement a custom card tokenization service that meets the following requirements:

  • It must provide low latency at minimal cost.
  • It must be able to identify duplicate credit cards and must not store plaintext card numbers.
  • It should support annual key rotation.

Which storage approach should you adopt for your tokenization service?

A
Store the card data in Secret Manager after running a query to identify duplicates.
B
Encrypt the card data with a deterministic algorithm stored in Firestore using Datastore mode.
C
Encrypt the card data with a deterministic algorithm and shard it across multiple Memorystore instances.
D
Use column-level encryption to store the data in Cloud SQL.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 48

For this question, refer to the Helicopter Racing League (HRL) case study. Recently HRL started a new regional racing league in Cape Town, South Africa. In an effort to give customers in Cape Town a better user experience, HRL has partnered with the Content Delivery Network provider, Fastly. HRL needs to allow traffic coming from all of the Fastly IP address ranges into their Virtual Private Cloud network (VPC network). You are a member of the HRL security team and you need to configure the update that will allow only the Fastly IP address ranges through the External HTTP(S) load balancer. Which command should you use?

A
gcloud compute security-policies rules update 1000 \
B
gcloud compute firewall rules update sourceiplist-fastly \
C
gcloud compute firewall rules update hir-policy \
D
gcloud compute security-policies rules update 1000 \

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 49

For this question, refer to the Helicopter Racing League (HRL) case study. The HRL development team releases a new version of their predictive capability application every Tuesday evening at 3 a.m. UTC to a repository. The security team at HRL has developed an in-house penetration test Cloud Function called Airwolf. The security team wants to run Airwolf against the predictive capability application as soon as it is released every Tuesday. You need to set up Airwolf to run at the recurring weekly cadence. What should you do?

A
Set up Cloud Tasks and a Cloud Storage bucket that triggers a Cloudย Function.
B
Set up a Cloud Logging sink and a Cloud Storage bucket that triggers a Cloudย Function.
C
Configure the deployment job to notify a Pub/Sub queue that triggers a Cloudย Function.
D
Set up Identity and Access Management (IAM) and Confidential Computing to trigger a Cloudย Function.

Premium Solution Locked

Unlock all 249 answers & explanations

QUESTION 50

For this question, refer to the Helicopter Racing League (HRL) case study. HRL wants better prediction accuracy from their ML prediction models. They want you to use Googleโ€™s AI Platform so HRL can understand and interpret the predictions. What should you do?

A
Use Explainable AI.
B
Use Vision AI.
C
Use Google Cloudโ€™s operations suite.
D
Use Jupyter Notebooks.

Premium Solution Locked

Unlock all 249 answers & explanations

Full Question Bank Locked

You have reached the end of the free study guide preview. Upgrade now to unlock all 249 questions and the full simulation engine.

Customer Reviews

5 / 5
(15,000+ verified)
5
100%
4
0%
3
0%
2
0%
1
0%

Global Community Feedback

DM

David M.

Verified Student

"The practice engine is incredible. It feels exactly like the real testing environment and helped me build so much confidence."

SJ

Sarah J.

Premium Member

"The PDF is very well organized and the explanations for the answers are actually helpful, not just random text."

MC

Michael C.

Verified Buyer

"I was skeptical, but the content is high quality and definitely worth the price. I passed on my first try!"

Need Assistance?

Our expert support team is available to assist you with any inquiries about our exam materials.

Contact Support
Average response: < 24 Hours

Get Exam Updates

Subscribe to receive instant notifications on new questions and exclusive flash sales.

* Join 5,000+ students getting weekly updates

Support Chat โ— Active Now

๐Ÿ‘‹ Hi! How can we help you pass your exam?

Enter email to start chatting