Data Governance and Management Quiz

What is Data Governance defined as?

• The exercise of authority and control over data assets.

• The process of data collection and storage.

• A method for data analysis.

• A framework for data visualization.

What does Data Management involve?

• Development, execution, and supervision of plans.

• Only data collection.

• Data analysis and reporting.

• Data visualization techniques.

What is a key point about Data Governance?

• It is a Data Management Knowledge Area.

• It is only about data storage.

• It focuses solely on data analysis.

• It is unrelated to data management.

What are the principles of Data Management?

• Data is a valuable asset and requires leadership commitment.

• Data should be ignored.

• Data management is not necessary.

• Data should be collected without any strategy.

What does the Data Management Function Framework start with?

• Enabling value from data assets.

• Only data collection.

• Data analysis.

• Data visualization.

What is the purpose of the DAMA Data Management Framework?

• To provide a functional framework for data management.

• To ignore data management.

• To focus solely on data analysis.

• To create data visualization tools.

What are the key roles within a Data Governance Framework?

• Data Governance Steering Committee, Executive Sponsor, Data Owner.

• Only data analysts.

• Only IT support staff.

• Only business executives.

What is a Data Governance Policy?

• A set of rules intended to influence decisions and actions related to Data Governance.

• A document that ignores data management.

• A report on data analysis.

• A guideline for data visualization.

What is the primary focus of Data Governance?

• The technical implementation of data storage solutions.

• The establishment of rules, processes, and accountability for managing data.

• The development of data analysis tools.

• The physical security of data centers.

Which of the following best describes Data Management?

• Setting policies for data usage.

• The execution and supervision of plans and policies related to data.

• Defining data ownership.

• Ensuring compliance with regulations.