DG

DG practice questions, page 4 of 4, with answer review and explanations.

Question 16

People often incorrectly combine the concepts of data management and information technology into one. Which of the following is not an example of this?

  1. A significant focus on identity in the call center has reduced duplication by 50%.
  2. Collaboration will be improved by the new document management system.
  3. The delivery of the DG portal is critical to achieving any benefits of Data Governance.
  4. The migration of customer data to a new platform failed to reduce the amount of returned mail.
  5. The rollout of reporting corrections has been delayed by the Big Data Project.

Question 17

Referential Integrity (RI) is often used to update tables without human intervention. Would this be a good idea for reference tables?

  1. Yes, older transactions do not have to be removed because with the Cloud there is unlimited database storage.
  2. No, updates should always be made directly via data entry or through a specific batch interface based on operator-entered information partly because of regulatory reporting and archiving.
  3. Yes, you do not have to worry about archived data with reference data so tables can be updated automatically.
  4. Yes, since Standards Bodies typically supply reference data, the enterprise can automatically update when a new code or value is received.
  5. No, but an enterprise can use program logic to do updates as there is little potential for problems to occur with reference data.

Question 18

In a global organization which much operate under many local jurisdictions, each with their own legislative and compliance laws, which type of Data Governance Operating Model Type would best apply?

  1. Globalized
  2. Centralized
  3. Replicated
  4. Contemporary
  5. Federated

Question 19

Looking at the DMBoK definition of Data Governance, and other industry definitions, what are some of the common key elements of Data Governance?

  1. Agreed models for decision making and decision rights, defined authority and escalation paths, structures for assigning accountability and delegating responsibility, alignment with business objectives
  2. Alignment of Business and IT strategies, definition of data standards, implementation of Data Governance and metadata software tools
  3. Exercise of authority, formalization of reporting lines, implementation of supporting technology, definition of common glossaries
  4. Agreed architectures, transparent policies, shared language, effective tools, delegated authority, stewardship
  5. Agreed models for data design and definition, decision rights regarding standards and controls, delegation of accountability

Question 20

Data Governance focuses exclusively on:

  1. Rules and regulations including GDPR
  2. Alignment of IT strategies and investments with enterprise goals and strategies
  3. The COBIT (Control Objectives for Information and Related Technology) framework
  4. Decisions about IT investments
  5. The management of data assets and of data as an asset