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Question 1. Which of the following best describes the primary objective of Data Governance (DG)? A) To increase the volume of data collected B) To manage data assets for quality, availability, and compliance C) To replace all manual data processing with automation D) To eliminate the need for data stewards Answer: B Explanation: Data Governance focuses on managing data assets to improve quality, ensure availability, reduce risk, and meet regulatory requirements. Question 2. In a typical DG framework, which three components interact most closely? A) People, Process, Technology B) Data, Analytics, Reporting C) Strategy, Execution, Review D) Governance, Compliance, Security Answer: A Explanation: The DG framework is built on the interplay of people (roles), processes (workflows), and technology (tools). Question 3. How does Data Strategy differ from Data Governance? A) Strategy defines long‑term goals; Governance enforces operational policies. B) Strategy is about data storage; Governance is about data visualization. C) Strategy is only for IT; Governance is only for business units. D) Strategy focuses on data quality; Governance focuses on data volume.
Answer: A Explanation: Data Strategy sets the vision and roadmap, while Data Governance implements controls and standards to achieve that vision. Question 4. Which responsibility is NOT typically assigned to a Data Steward? A) Defining data assets and metadata B) Approving all financial transactions C) Monitoring data quality metrics D) Providing training on data policies Answer: B Explanation: Approving financial transactions is outside the steward’s scope; stewards focus on data definitions, quality, and education. Question 5. What is the main distinction between a Data Owner and a Data Steward? A) Owners are technical; stewards are business users. B) Owners have accountability for data; stewards manage day‑to‑day quality. C) Owners create reports; stewards develop dashboards. D) Owners handle data security; stewards handle data storage. Answer: B Explanation: Data Owners are accountable for data decisions, while Data Stewards ensure the data’s quality and proper metadata management. Question 6. Which stakeholder is primarily responsible for the technical environment where data resides? A) Data Owner
Question 9. Which Collibra asset type defines the permissible ways to use data, such as “Data may not be shared externally without consent”? A) Business Term B) Policy C) Data Element D) View Answer: B Explanation: Policies articulate rules and constraints governing data usage. Question 10. In the Collibra metamodel, a “Relation” that connects a Business Term to a Data Element is called: A) Ownership B) Governed By C) Mapped To D) Derived From Answer: B Explanation: The “Governed By” relation links a Business Term to the technical Data Elements that implement it. Question 11. Which Collibra lifecycle status indicates an asset is no longer in active use? A) Draft B) Approved C) Obsolete D) Pending
Answer: C Explanation: “Obsolete” marks assets that have been retired or superseded. Question 12. Which role in Collibra typically has permission to approve a new Business Term? A) Viewer B) Steward C) Guest D) Analyst Answer: B Explanation: Stewards are granted rights to create and approve governance assets such as Business Terms. Question 13. What is the purpose of a Collibra “Community”? A) To store raw data files B) To group related Domains for a business area C) To execute ETL jobs D) To generate automated data quality scores Answer: B Explanation: Communities organize Domains, providing a logical hierarchy for governance assets. Question 14. Which of the following is a key dimension of Data Quality? A) Scalability
Question 17. Which workflow step typically follows the detection of a data issue in Collibra? A) Issue Deletion B) Issue Classification C) Issue Archiving D) Issue Ignoring Answer: B Explanation: After detection, the issue is classified (severity, dimension) to determine handling priority. Question 18. Root Cause Analysis (RCA) aims to: A) Assign blame to a data consumer B) Identify the underlying systemic problem causing recurring data errors C) Increase the number of data quality rules D) Reduce the size of the data warehouse Answer: B Explanation: RCA seeks the fundamental cause so that remediation addresses the systemic issue. Question 19. Which KPI would best indicate the efficiency of the issue resolution process? A) Number of Business Terms created per month B) Average Time‑to‑Resolution for data issues C. Total storage used by the data lake D. Number of users logged into Collibra
Answer: B Explanation: Time‑to‑Resolution measures how quickly data issues are closed, reflecting process efficiency. Question 20. A “Glossary Completeness” KPI measures: A) The percentage of Business Terms that have definitions, owners, and linked data elements B) The number of data quality rules in the system C) The total volume of data stored in the data warehouse D) The speed of ETL jobs Answer: A Explanation: Glossary completeness tracks how many terms are fully documented with necessary metadata. Question 21. When preparing for an audit, a Data Steward should primarily generate which Collibra artifact? A) Data lineage diagrams for high‑risk assets B. Random data samples from the production database C. User login logs from the corporate VPN D. Financial statements for the last fiscal year Answer: A Explanation: Auditors often require lineage to verify data provenance and compliance. Question 22. Which Collibra feature enables collaboration among stakeholders on a specific governance asset?
Explanation: Impact analysis reveals downstream dependencies, enabling the steward to prevent unintended consequences. Question 25. Which regulatory framework specifically requires banks to maintain a data lineage capability for risk data? A) HIPAA B) BCBS 239 C) CCPA D) ISO 27001 Answer: B Explanation: Basel Committee on Banking Supervision (BCBS 239) mandates robust data lineage for risk data. Question 26. In Collibra, what does the “Draft” status typically indicate? A) The asset is finalized and published B) The asset is under development and not yet approved C. The asset has been deprecated D. The asset is hidden from all users Answer: B Explanation: “Draft” is used for assets that are still being authored or reviewed. Question 27. Which of the following best describes a “Data Element” in Collibra? A) A high‑level business concept like “Revenue” B) A technical attribute such as a column in a database table C) A policy governing data sharing
D) A workflow for approving new terms Answer: B Explanation: Data Elements represent low‑level technical attributes (e.g., database columns). Question 28. A Data Steward notices that the “Customer_ID” field contains duplicate values. Which DQ dimension is being violated? A) Accuracy B) Uniqueness C) Timeliness D) Consistency Answer: B Explanation: Uniqueness requires each identifier to be distinct across records. Question 29. When a new regulation is introduced, the first step a Data Steward should take in Collibra is: A. Delete all existing policies and start over B. Create a new Business Term for the regulation name C. Tag affected data assets with the appropriate sensitivity label and map to the regulation policy D. Disable all data quality rules until the regulation is reviewed Answer: C Explanation: Tagging and mapping ensure that relevant data is identified for compliance activities.
Explanation: Protected Health Information (PHI) is subject to strict regulations like HIPAA, making it high‑risk. Question 33. How can a Data Steward improve the adoption of Collibra among business users? A) By mandating daily logins for all employees B) By providing targeted training sessions that demonstrate business value C) By disabling all comment functionality to avoid clutter D) By removing all existing Business Terms to simplify the glossary Answer: B Explanation: Training that highlights tangible benefits encourages user buy‑in and adoption. Question 34. Which KPI would best reflect the overall health of the data quality program? A) Number of new Collibra users per month B) Average DQ score across all monitored rules C. Total number of data warehouses deployed D. Percentage of IT budget allocated to Collibra Answer: B Explanation: The average DQ score aggregates rule performance, indicating data health. Question 35. In Collibra, a “Policy” can be linked to which other asset to show enforcement scope? A) Data Element B) Business Term C) Data Quality Rule
D) All of the above Answer: D Explanation: Policies may be associated with multiple asset types to define where they apply. Question 36. Which of the following is NOT a typical attribute of a Business Term in Collibra? A) Definition B) Synonyms C) Physical storage location D) Owner Answer: C Explanation: Physical storage is a technical attribute, not part of a Business Term’s metadata. Question 37. When a Data Steward resolves a data issue, which status transition is most appropriate? A) From “Open” to “Closed” B. From “Draft” to “Approved” C. From “Obsolete” to “Draft” D. From “Pending” to “Rejected” Answer: A Explanation: Closing an issue marks it as resolved and no longer active. Question 38. Which Collibra feature can be used to automatically propagate a policy change to all related data elements?
Explanation: Timeliness measures how quickly data becomes available after creation. Question 41. In Collibra, a “Rule” asset is primarily used to: A) Define a logical business concept B) Specify a condition that can be programmatically evaluated for data quality C. Store raw data files D. Manage user permissions Answer: B Explanation: Rules encapsulate executable logic for data validation or governance enforcement. Question 42. Which of the following is a direct benefit of maintaining an accurate data lineage map? A. Reduced need for data backups B. Faster impact analysis for change requests C. Automatic generation of business terms D. Elimination of data quality monitoring Answer: B Explanation: Lineage enables quick identification of upstream/downstream dependencies, aiding impact analysis. Question 43. When a Data Steward creates a new Business Term, which Collibra lifecycle status should be set before it is reviewed by a peer? A) Draft B) Approved C. Obsolete
D. Published Answer: A Explanation: Draft indicates the term is still under development and awaiting review. Question 44. Which KPI would most directly measure the success of Collibra training programs? A) Number of Business Terms created per week B. Percentage of active users who have completed mandatory training C. Average size of data warehouses D. Total number of data quality alerts Answer: B Explanation: Training completion rates reflect user engagement with educational initiatives. Question 45. A Data Steward identifies that a data element “Order_Date” is frequently missing for recent orders. Which DQ dimension is affected? A) Completeness B) Accuracy C) Consistency D) Uniqueness Answer: A Explanation: Missing values indicate a lack of completeness. Question 46. In Collibra, which asset type would you use to capture a SQL query that joins multiple tables for reporting?
Question 49. When measuring “Glossary Coverage,” a Data Steward compares the number of Business Terms to: A) Number of data sources in the environment B) Number of Data Elements that have a linked Business Term C) Total number of users in Collibra D) Number of policies defined Answer: B Explanation: Coverage is assessed by how many technical elements are mapped to business terms. Question 50. Which of the following is an example of a “Derived From” relation in Collibra? A) Business Term “Customer” derived from Data Element “Customer_ID” B) Policy “Data Retention” derived from Business Term “Retention Period” C) Data Quality Rule derived from Data Element “Email” D) View derived from Business Term “Revenue” Answer: A Explanation: “Derived From” links a Business Term to the technical Data Elements that embody it. Question 51. A Data Steward wants to monitor the frequency of data quality rule failures for a specific Data Element. Which Collibra feature should be used? A) Dashboard widget showing rule failure counts B. Bulk import of data elements C. Comment thread on the Data Element
D. Data masking configuration Answer: A Explanation: Dashboards provide visual monitoring of rule performance and failure trends. Question 52. Which of the following best defines “Data Stewardship” in the context of Collibra? A) Managing hardware resources for data storage B. Overseeing the creation, maintenance, and quality of data assets within the governance platform C. Developing machine‑learning models on raw data D. Conducting financial audits of the IT department Answer: B Explanation: Data stewardship focuses on the lifecycle and quality of data assets. Question 53. Which Collibra asset would you use to capture the legal requirement that “Personal data must be retained for no longer than 5 years”? A) Business Term B) Policy C) Data Element D) Rule Answer: B Explanation: Policies codify legal and regulatory requirements.
