DG Exam - Free CDMP Questions and Answers

Question #11 (Topic: Exam A)

You have completed analysis of a Data Governance issue in your organization and have presented your findings to the executive management team. However, your findings are not greeted warmly and you find yourself being blamed for the continued existence of the issue. What is the most likely root cause for this?

A. You failed to correctly manage expectations about the roles, responsibilities, and accountabilities for Data Governance in the organization and are dependent on other areas to execute your recommendations. B. You failed to correctly scope the analysis project and did not secure resources to deliver a fully executed solution to address root causes. C. You failed to communicate to your team the importance of achieving a workable solution to the issues identified. D. You adopted an incorrect methodology to your Data Governance and have failed to execute necessary information management tasks. E. You did not secure appropriate budget or resources for the engagement and did not properly define the project charter.

Answer: A

Question #12 (Topic: Exam A)

Following the rollout of a data issue process, there have been no issues recorded in the first month. The reason for this might be:

A. There are no data issues in the enterprise B. A lack of credibility in the Data Governance process to really affect changes C. Staff staying back late to enter the issues into the system D. The automatic deletion of all issues in the database E. The denial of overtime requests

Answer: B

Question #13 (Topic: Exam A)

The advantage of a decentralized Data Governance model over a centralized model is:

A. Having a common approach to resolving Data Governance issues B. The easier implementation of industry data models C. An increased level of ownership from local decision making groups D. The common metadata repository configurations E. The cheaper execution of Data Governance operations

Answer: C

Question #14 (Topic: Exam A)

What key components must be included in the Implementation Roadmap?

A. Data metrics, physical data structures, and data model designs B. Testing requirements, risk assessment, data security and privacy policies and database design C. Timeframes and resources for data quality requirements, policies and directives and testing standards D. Timeframes and resources for policies and directives Architecture, Tools and Control Metrics E. Timeframes and resources for Policies and Directives, a Business Glossary Architecture, Business and IT processes and role descriptions

Answer: E

Question #15 (Topic: Exam A)

Regulations including the Sarbanes-Oxley Act require evidence of data lineage and accuracy. How can Data Governance aid organizations in achieving this goal?

A. Capture and document all metrics and store in a central repository B. Undertake an audit of current process and produce a report C. Provide the framework and guidance to enable a business led ongoing Data Governance process D. Perform an 'as-is' review of data quality E. Create a new data store for regulator required metrics

Answer: C

CDMP DG - Data Governance Exam