Data Quality Dimensions & Governance Controls

1. Which control prevents unauthorized changes to critical data assets?

Access controls

Encryption

Audit logging

Data masking

2. Data quality requirements should be documented and aligned with business objectives.

True

False

3. Which control type detects and alerts on quality issues after data is loaded?

Preventive control

Detective control

Corrective control

Compensating control

Submit

5. Which approach ensures data quality is maintained throughout the data lifecycle?

Reactive monitoring only

Proactive quality controls and continuous monitoring

Annual quality audits

Manual data verification

6. Metadata management is essential for supporting data discovery and quality initiatives.

True

False

7. Which statement best describes data lineage in governance?

The historical record of data origins, transformations, and usage

The frequency at which data is refreshed

The physical location where data is stored

The backup schedule for critical databases

Submit

9. What is a data quality metric used to track?

The percentage of complete records in a dataset

The average processing time for queries

The total storage capacity utilized

The number of active users accessing the system

10. Master Data Management (MDM) is primarily used to maintain consistency of key business entities.

True

False

11. What does data accuracy refer to in data quality management?

The degree to which data correctly represents the real-world entity or event

The speed at which data is processed and delivered

The percentage of data fields that contain values

The consistency of data across multiple systems

Submit

13. Which role is responsible for ensuring data quality standards are met across an organization?

Chief Data Officer

Data Steward

Database Administrator

Business Analyst

14. Data profiling is a technique used to assess data quality by analyzing structure and content.

True

False

15. A data governance framework typically includes which control mechanisms?

Data quality rules and validation checks

Data stewardship and ownership definitions

Monitoring and remediation processes

All of the above

16. What is data validity in the context of quality governance?

Data conforms to required format, type, and range specifications

Data has been verified by an external auditor

Data originates from a trusted source

Data is free from duplicate records

17. Which of the following are core dimensions of data quality?

Accuracy and Completeness

Validity and Consistency

Timeliness and Integrity

All of the above

18. Timeliness in data quality refers to how current and relevant the data is for its intended use.

True

False

Submit

20. Which dimension measures whether required data values are present in a dataset?

Accuracy

Completeness

Consistency

Timeliness

Data+ Data Quality Dimensions Overview Quiz

1. Which control prevents unauthorized changes to critical data assets?

2.

What first name or nickname would you like us to use?

2. Data quality requirements should be documented and aligned with business objectives.

3. Which control type detects and alerts on quality issues after data is loaded?

4. Data ______ establishes formal authority and accountability for data management decisions.

5. Which approach ensures data quality is maintained throughout the data lifecycle?

6. Metadata management is essential for supporting data discovery and quality initiatives.

7. Which statement best describes data lineage in governance?

8. A data governance policy should define roles, responsibilities, and ____.

9. What is a data quality metric used to track?

10. Master Data Management (MDM) is primarily used to maintain consistency of key business entities.

11. What does data accuracy refer to in data quality management?

12. Data ______ refers to the degree to which data is free from errors and defects.

13. Which role is responsible for ensuring data quality standards are met across an organization?

14. Data profiling is a technique used to assess data quality by analyzing structure and content.

15. A data governance framework typically includes which control mechanisms?

16. What is data validity in the context of quality governance?

17. Which of the following are core dimensions of data quality?

18. Timeliness in data quality refers to how current and relevant the data is for its intended use.

19. Data consistency ensures that data ____.

20. Which dimension measures whether required data values are present in a dataset?