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Here are the 250 multiple choice questions and answers with explanations on Collibra Integration Engineer Practice Exam: 1. What is the primary function of a Collibra Integration Engineer? A) To design data governance policies B) To implement data quality checks C) To integrate Collibra with other systems D) To develop data analytics reports Answer: C) To integrate Collibra with other systems Explanation: A Collibra Integration Engineer is responsible for designing and implementing integrations between Collibra and other systems, such as data sources, applications, and platforms. 2. What is the purpose of the Collibra API? A) To provide a user interface for data management B) To enable real-time data synchronization C) To allow external systems to interact with Collibra D) To provide data visualization reports Answer: C) To allow external systems to interact with Collibra Explanation: The Collibra API provides a programmatic interface for external systems to interact with Collibra, enabling integrations and data exchanges.
3. What is the difference between a data source and a data target in Collibra? A) A data source is a system that provides data, while a data target is a system that consumes data B) A data source is a system that consumes data, while a data target is a system that provides data C) A data source is a user-defined term, while a data target is a pre-defined term D) A data source is a physical data storage, while a data target is a logical data storage Answer: A) A data source is a system that provides data, while a data target is a system that consumes data Explanation: In Collibra, a data source is a system that provides data to Collibra, while a data target is a system that consumes data from Collibra. 4. How does Collibra handle data lineage? A) By storing metadata about data transformations B) By tracking data movement between systems C) By providing a graphical representation of data relationships D) By using machine learning to predict data relationships Answer: A) By storing metadata about data transformations Explanation: Collibra stores metadata about data transformations, enabling data lineage and providing a clear understanding of how data moves through the organization.
A) To define data security and access controls B) To establish data quality and validation standards C) To outline data retention and archiving procedures D) To define data governance roles and responsibilities Answer: D) To define data governance roles and responsibilities Explanation: A data governance policy in Collibra defines roles and responsibilities for data governance, enabling clear ownership and accountability for data management. 8. How does Collibra support data governance? A) By providing a framework for data governance policies B) By integrating with external data governance tools C) By using machine learning to predict data governance needs D) By storing historical data governance metrics Answer: A) By providing a framework for data governance policies Explanation: Collibra provides a framework for data governance policies, enabling users to define and implement data governance standards. 9. What is the purpose of a data asset in Collibra? A) To represent a physical data storage device B) To define a data governance policy C) To represent a logical data entity or concept
D) To outline a data quality check Answer: C) To represent a logical data entity or concept Explanation: A data asset in Collibra represents a logical data entity or concept, such as a table, column, or data field. 10. How does Collibra support data discovery? A) By providing a centralized repository for data assets B) By enabling users to search and filter data assets C) By using machine learning to predict data relationships D) By storing historical data usage metrics Answer: B) By enabling users to search and filter data assets Explanation: Collibra enables users to search and filter data assets, providing a simple and intuitive way to discover and understand data. 11. What is the purpose of a data lineage report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed history of data changes Answer: B) To store metadata about data transformations
14. How does Collibra support data archiving? A) By providing pre-built archiving templates and policies B) By integrating with external archiving tools C) By using machine learning to predict data archiving needs D) By storing historical archiving metrics Answer: A) By providing pre-built archiving templates and policies Explanation: Collibra provides pre-built archiving templates and policies, enabling users to easily define and implement data archiving standards. 15. What is the purpose of a data quality report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed history of data changes Answer: D) To provide a detailed history of data changes Explanation: A data quality report in Collibra provides a detailed history of data changes, enabling users to understand data quality and make informed decisions. 16. How does Collibra support data validation?
A) By providing pre-built validation templates and policies B) By integrating with external validation tools C) By using machine learning to predict data validation needs D) By storing historical validation metrics Answer: A) By providing pre-built validation templates and policies Explanation: Collibra provides pre-built validation templates and policies, enabling users to easily define and implement data validation standards. 17. What is the purpose of a data profiling report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of data characteristics Answer: D) To provide a detailed summary of data characteristics Explanation: A data profiling report in Collibra provides a detailed summary of data characteristics, enabling users to understand data distribution and make informed decisions. 18. How does Collibra support data masking? A) By providing pre-built masking templates and policies B) By integrating with external masking tools C) By using machine learning to predict masking needs
Explanation: Collibra provides pre-built backup and recovery templates and policies, enabling users to easily define and implement data backup and recovery standards. 21. What is the purpose of a data compliance report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of compliance status Answer: D) To provide a detailed summary of compliance status Explanation: A data compliance report in Collibra provides a detailed summary of compliance status, enabling users to understand data security and make informed decisions. 22. How does Collibra support data governance audits? A) By providing pre-built audit templates and policies B) By integrating with external audit tools C) By using machine learning to predict audit needs D) By storing historical audit metrics Answer: A) By providing pre-built audit templates and policies Explanation: Collibra provides pre-built audit templates and policies, enabling users to easily define and implement data governance audits.
23. What is the purpose of a data risk assessment report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of risk assessment findings Answer: D) To provide a detailed summary of risk assessment findings Explanation: A data risk assessment report in Collibra provides a detailed summary of risk assessment findings, enabling users to understand data security and make informed decisions. 24. How does Collibra support data classification? A) By providing pre-built classification templates and policies B) By integrating with external classification tools C) By using machine learning to predict classification needs D) By storing historical classification metrics Answer: A) By providing pre-built classification templates and policies Explanation: Collibra provides pre-built classification templates and policies, enabling users to easily define and implement data classification standards. 25. What is the purpose of a data categorization report in Collibra?
C) To track data movement between systems D) To provide a detailed summary of annotation status Answer: D) To provide a detailed summary of annotation status Explanation: A data annotation report in Collibra provides a detailed summary of annotation status, enabling users to understand data labeling and make informed decisions. 28. How does Collibra support data validation? A) By providing pre-built validation templates and policies B) By integrating with external validation tools C) By using machine learning to predict validation needs D) By storing historical validation metrics Answer: A) By providing pre-built validation templates and policies Explanation: Collibra provides pre-built validation templates and policies, enabling users to easily define and implement data validation standards. 29. What is the purpose of a data quality dashboard in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of quality metrics
Answer: D) To provide a detailed summary of quality metrics Explanation: A data quality dashboard in Collibra provides a detailed summary of quality metrics, enabling users to understand data quality and make informed decisions. 30. How does Collibra support data masking? A) By providing pre-built masking templates and policies B) By integrating with external masking tools C) By using machine learning to predict masking needs D) By storing historical masking metrics Answer: A) By providing pre-built masking templates and policies Explanation: Collibra provides pre-built masking templates and policies, enabling users to easily define and implement data masking standards. 31. What is the purpose of a data encryption report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of encryption usage Answer: D) To provide a detailed summary of encryption usage
34. How does Collibra support data governance audits? A) By providing pre-built audit templates and policies B) By integrating with external audit tools C) By using machine learning to predict audit needs D) By storing historical audit metrics Answer: A) By providing pre-built audit templates and policies Explanation: Collibra provides pre-built audit templates and policies, enabling users to easily define and implement data governance audits. 35. What is the purpose of a data risk assessment report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of risk assessment findings Answer: D) To provide a detailed summary of risk assessment findings Explanation: A data risk assessment report in Collibra provides a detailed summary of risk assessment findings, enabling users to understand data security and make informed decisions. 36. How does Collibra support data classification? A) By providing pre-built classification templates and policies
B) By integrating with external classification tools C) By using machine learning to predict classification needs D) By storing historical classification metrics Answer: A) By providing pre-built classification templates and policies Explanation: Collibra provides pre-built classification templates and policies, enabling users to easily define and implement data classification standards. 37. What is the purpose of a data categorization report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of categorization status Answer: D) To provide a detailed summary of categorization status Explanation: A data categorization report in Collibra provides a detailed summary of categorization status, enabling users to understand data classification and make informed decisions. 38. How does Collibra support data labeling? A) By providing pre-built labeling templates and policies B) By integrating with external labeling tools C) By using machine learning to predict labeling needs
Explanation: Collibra provides pre-built validation templates and policies, enabling users to easily define and implement data validation standards. 41. What is the purpose of a data quality dashboard in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of quality metrics Answer: D) To provide a detailed summary of quality metrics Explanation: A data quality dashboard in Collibra provides a detailed summary of quality metrics, enabling users to understand data quality and make informed decisions. 42. How does Collibra support data masking? A) By providing pre-built masking templates and policies B) By integrating with external masking tools C) By using machine learning to predict masking needs D) By storing historical masking metrics Answer: A) By providing pre-built masking templates and policies Explanation: Collibra provides pre-built masking templates and policies, enabling users to easily define and implement data masking standards.
43. What is the purpose of a data encryption report in Collibra? A) To provide a graphical representation of data relationships B) To store metadata about data transformations C) To track data movement between systems D) To provide a detailed summary of encryption usage Answer: D) To provide a detailed summary of encryption usage Explanation: A data encryption report in Collibra provides a detailed summary of encryption usage, enabling users to understand data security and make informed decisions. 44. How does Collibra support data backup and recovery? A) By providing pre-built backup and recovery templates and policies B) By integrating with external backup and recovery tools C) By using machine learning to predict backup and recovery needs D) By storing historical backup and recovery metrics Answer: A) By providing pre-built backup and recovery templates and policies Explanation: Collibra provides pre-built backup and recovery templates and policies, enabling users to easily define and implement data backup and recovery standards. 45. What is the purpose of a data compliance report in Collibra?
