CDMP Data Quality (DQ)

You are facilitating a committee that is developing data quality metrics. Some of the committee members think that the SMART (Specific, Measurable, Accountable, Results-Focused, Time-bound) is a good model. Select the statement that best describes why business relevance needs to considered as a characteristic of data quality metrics.

You recently joined an organization that 2 years ago began a DQM program. Talking to stakeholders, they are not aware of this program. Why is this awareness essential to success?

The concept of a 'data firewall' is being implemented in the new data lake load process. This means that:

A completed Failure Mode and Effects Analysis (FMEA) results in the following assessment rating.

Occurrence = 4 -

Severity = 8 -

Detection = 10 -

What is the Risk Priority Number (RPN) for this FMEA?

You have just completed an initial evaluation of the Data Quality of the Data Warehouse system. Your CIO has read your report and wants clarification about what the 'currency' dimension of quality means. Identify the statement that best defines currency.

Your CIO asks you to provide key talking points to justify starting a DQM program. List some benefits that a DQM program would deliver.

The selection of the appropriate Data Quality tool is of paramount importance to the success of a Data Quality program. One of the requirements received from the business is to have the tool implement an extensive Data Quality layer as users capture data. The business believes that the quality of data will be perfect and no further data quality work will be required. Which approach is most likely to encourage the business to review this strategy:

The sequence for the Shewhart Improvement Cycle in DMBOK:

In terms of data quality, what is accuracy?

A customer merging application is sometimes picking candidates that are not the same customer and merging them automatically. What is one strategy to avoid the occasional errors?

A particular data attribute is monitored and reported if it is not 100% accurate. This is creating a large back log of investigation which is not productive. The data quality manager could consider:

When evaluating a potential data quality improvement tool set with a view to purchasing it for use within your company, which of the following is NOT likely to be one of the evaluation criteria:

Which of the following is NOT true when applied to data parsing?

When the DMBOK calls Data Quality Management a program, not a project; it means:

An organisation has had great success in managing data quality issues. They are recorded, allocated to someone to fix, checked back with the originator and then closed off. However, you have noticed that many of the issues are recurring and there seems to be little attention to making sure they do not happen again. This could be because of:

The value for the invalid Data Quality may be calculated by computing:

Standardising data quality issues enables organisations to efficiently:

Which of these types of costs of Non-Quality is a desired cost?

You have been asked to rate your organisation’s Information Quality Maturity. Based on your assessment your organisation has the following characteristics:

1) Information quality, by and large, is not a 'visible' thing and managers are not aware of it as a problem.

2) There is reliance on fire fighting to resolve issues.

3) There have been fragmented attempts to 'do something' but the processes and governance are not in place for well managed information.

How would you rate your organisation on an Information Quality Maturity Scale?

On a school bus, there is an average of 3.25 students. In which circumstance is this number fit for purpose?