Collibra Platform Administrator Practice Exam: 250+ Questions & Answers, Exams of Technology

Prepare for the collibra platform administrator certification exam with this comprehensive set of 250+ multiple-choice questions and answers. This practice exam covers key concepts such as data governance, data stewardship, data catalog, and data lineage within the collibra platform. Each question includes a detailed explanation to enhance understanding and improve exam readiness. Ideal for aspiring collibra administrators looking to validate their knowledge and skills, this resource provides valuable insights into the platform's features and functionalities, ensuring a thorough preparation experience. Use this guide to master the essential aspects of collibra and boost your confidence for the certification exam.

Typology: Exams

2025/2026

Available from 12/26/2025

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Collibra Platform Administrator Practice Exam
Here are 250 multiple choice questions and answers with explanations on Collibra Platform
Administrator Practice Exam:
**1. What is Collibra's primary function in a data governance framework?**
A) Data Integration
B) Data Quality
C) Data Stewardship
D) Data Catalog
Explanation: Collibra is a data stewardship platform that enables data governance and data
stewardship capabilities.
**2. Which of the following is a key feature of Collibra's Governance Hub?**
A) Data Discovery
B) Data Quality
C) Data Lineage
D) Data Catalog
Explanation: Collibra's Governance Hub is a centralized platform that enables data governance,
data stewardship, and data discovery.
**3. What is the purpose of a Collibra Data Governance Model?**
A) To define data quality rules
B) To create a data catalog
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Here are 250 multiple choice questions and answers with explanations on Collibra Platform Administrator Practice Exam: 1. What is Collibra's primary function in a data governance framework? A) Data Integration B) Data Quality C) Data Stewardship D) Data Catalog Explanation: Collibra is a data stewardship platform that enables data governance and data stewardship capabilities. 2. Which of the following is a key feature of Collibra's Governance Hub? A) Data Discovery B) Data Quality C) Data Lineage D) Data Catalog Explanation: Collibra's Governance Hub is a centralized platform that enables data governance, data stewardship, and data discovery. 3. What is the purpose of a Collibra Data Governance Model? A) To define data quality rules B) To create a data catalog

C) To establish a data governance framework D) To implement data security measures Explanation: A Collibra Data Governance Model is a framework that defines the roles, responsibilities, and policies for data governance. 4. Which Collibra feature enables data discovery and search? A) Data Stewardship B) Data Catalog C) Data Governance D) Data Lineage Explanation: Collibra's Data Catalog is a feature that enables data discovery and search. 5. What is the purpose of a Collibra Data Lineage? A) To track data quality issues B) To identify data sources C) To show data flows and dependencies D) To manage data security Explanation: A Collibra Data Lineage is a feature that shows data flows and dependencies between data assets. 6. Which of the following is a benefit of using Collibra's Data Governance?

9. What is the purpose of a Collibra Data Policy? A) To define data quality rules B) To establish data governance framework C) To manage data security D) To ensure data compliance Explanation: A Collibra Data Policy is a document that establishes the framework for data governance. 10. Which of the following is a key component of Collibra's Data Governance? A) Data Quality B) Data Security C) Data Stewardship D) All of the above Explanation: Collibra's Data Governance includes three key components: Data Quality, Data Security, and Data Stewardship. 11. What is the purpose of a Collibra Data Asset? A) To represent a data source B) To store data security settings C) To define data quality rules D) To manage data lineage

Explanation: A Collibra Data Asset is a representation of a data source or data entity. 12. Which Collibra feature enables data stewardship? A) Data Catalog B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Stewardship feature enables data stewardship and oversight. 13. What is the role of a Data Manager in Collibra? A) To manage data security B) To oversee data governance C) To ensure data quality D) To perform data analysis Explanation: A Data Manager in Collibra is responsible for managing data security and overseeing data governance. 14. Which Collibra feature enables data discovery and search? A) Data Catalog B) Data Governance C) Data Lineage

B) To oversee data governance C) To ensure data quality D) To perform data analysis Explanation: A Data Analyst in Collibra is responsible for performing data analysis. 18. Which Collibra feature enables data security? A) Data Catalog B) Data Governance C) Data Lineage D) Data Security Explanation: Collibra's Data Security feature enables data security. 19. What is the purpose of a Collibra Data Governance Policy? A) To define data quality rules B) To establish data governance framework C) To manage data security D) To ensure data compliance Explanation: A Collibra Data Governance Policy is a document that establishes the framework for data governance.

20. Which of the following is a key component of Collibra's Data Governance? A) Data Quality B) Data Security C) Data Stewardship D) All of the above Explanation: Collibra's Data Governance includes three key components: Data Quality, Data Security, and Data Stewardship. 21. What is the purpose of a Collibra Data Asset? A) To represent a data source B) To store data security settings C) To define data quality rules D) To manage data lineage Explanation: A Collibra Data Asset is a representation of a data source or data entity. 22. Which Collibra feature enables data stewardship? A) Data Catalog B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Stewardship feature enables data stewardship and oversight.

Explanation: A Collibra Data Governance Workflow is a set of steps that automate data governance tasks. 26. Which of the following is a benefit of using Collibra's Data Governance? A) Improved data quality B) Enhanced data security C) Better data discovery D) All of the above Explanation: Collibra's Data Governance provides several benefits, including improved data quality, enhanced data security, and better data discovery. 27. What is the role of a Data Analyst in Collibra? A) To manage data security B) To oversee data governance C) To ensure data quality D) To perform data analysis Explanation: A Data Analyst in Collibra is responsible for performing data analysis. 28. Which Collibra feature enables data security? A) Data Catalog B) Data Governance

C) Data Lineage D) Data Security Explanation: Collibra's Data Security feature enables data security. 29. What is the purpose of a Collibra Data Governance Policy? A) To define data quality rules B) To establish data governance framework C) To manage data security D) To ensure data compliance Explanation: A Collibra Data Governance Policy is a document that establishes the framework for data governance. 30. Which of the following is a key component of Collibra's Data Governance? A) Data Quality B) Data Security C) Data Stewardship D) All of the above Explanation: Collibra's Data Governance includes three key components: Data Quality, Data Security, and Data Stewardship. 31. What is the purpose of a Collibra Data Asset?

34. Which Collibra feature enables data discovery and search? A) Data Catalog B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Catalog is a feature that enables data discovery and search. 35. What is the purpose of a Collibra Data Governance Workflow? A) To define data quality rules B) To establish data governance framework C) To manage data security D) To automate data governance tasks Explanation: A Collibra Data Governance Workflow is a set of steps that automate data governance tasks. 36. Which of the following is a benefit of using Collibra's Data Governance? A) Improved data quality B) Enhanced data security C) Better data discovery D) All of the above

Explanation: Collibra's Data Governance provides several benefits, including improved data quality, enhanced data security, and better data discovery. 37. What is the role of a Data Analyst in Collibra? A) To manage data security B) To oversee data governance C) To ensure data quality D) To perform data analysis Explanation: A Data Analyst in Collibra is responsible for performing data analysis. 38. Which Collibra feature enables data security? A) Data Catalog B) Data Governance C) Data Lineage D) Data Security Explanation: Collibra's Data Security feature enables data security. 39. What is the purpose of a Collibra Data Governance Policy? A) To define data quality rules B) To establish data governance framework C) To manage data security

B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Stewardship feature enables data stewardship and oversight. 43. What is the role of a Data Manager in Collibra? A) To manage data security B) To oversee data governance C) To ensure data quality D) To perform data analysis Explanation: A Data Manager in Collibra is responsible for managing data security and overseeing data governance. 44. Which Collibra feature enables data discovery and search? A) Data Catalog B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Catalog is a feature that enables data discovery and search.

45. What is the purpose of a Collibra Data Governance Workflow? A) To define data quality rules B) To establish data governance framework C) To manage data security D) To automate data governance tasks Explanation: A Collibra Data Governance Workflow is a set of steps that automate data governance tasks. 46. Which of the following is a benefit of using Collibra's Data Governance? A) Improved data quality B) Enhanced data security C) Better data discovery D) All of the above Explanation: Collibra's Data Governance provides several benefits, including improved data quality, enhanced data security, and better data discovery. 47. What is the role of a Data Analyst in Collibra? A) To manage data security B) To oversee data governance C) To ensure data quality D) To perform data analysis Explanation: A Data Analyst in Collibra is responsible for performing data analysis.

Explanation: Collibra's Data Governance includes three key components: Data Quality, Data Security, and Data Stewardship. 51. What is the purpose of a Collibra Data Asset? A) To represent a data source B) To store data security settings C) To define data quality rules D) To manage data lineage Explanation: A Collibra Data Asset is a representation of a data source or data entity. 52. Which Collibra feature enables data stewardship? A) Data Catalog B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Stewardship feature enables data stewardship and oversight. 53. What is the role of a Data Manager in Collibra? A) To manage data security B) To oversee data governance

C) To ensure data quality D) To perform data analysis Explanation: A Data Manager in Collibra is responsible for managing data security and overseeing data governance. 54. Which Collibra feature enables data discovery and search? A) Data Catalog B) Data Governance C) Data Lineage D) Data Stewardship Explanation: Collibra's Data Catalog is a feature that enables data discovery and search. 55. What is the purpose of a Collibra Data Governance Workflow? A) To define data quality rules B) To establish data governance framework C) To manage data security D) To automate data governance tasks Explanation: A Collibra Data Governance Workflow is a set of steps that automate data governance tasks. 56. Which of the following is a benefit of using Collibra's Data Governance?