DAC Data Governance & Quality Flashcards
6 cards from real DAC practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 DAC Data Governance & Quality flashcards as text
Which of the following best defines data governance in the context of data analytics?
Answer: A framework of policies and processes ensuring data is accurate, available, and secure
Data governance is a framework of policies, processes, and roles that ensures data is managed as a valuable organizational asset.
What is a data steward's primary responsibility?
Answer: Overseeing data quality and enforcing data policies within a domain
A data steward is responsible for maintaining data quality, enforcing governance policies, and acting as a subject-matter expert for a specific data domain.
Which data quality dimension measures whether data correctly represents real-world values?
Answer: Accuracy
Accuracy refers to how well data values reflect the true real-world state of the entity being described.
What is a Master Data Management (MDM) system used for?
Answer: Creating a single, authoritative reference for critical business data entities
MDM creates a single trusted view of key business entities (like customers, products, or employees) by consolidating data from multiple sources.
Which of the following is an example of a data quality issue related to completeness?
Answer: A customer record has no email address
Completeness refers to whether all required data attributes are present; a missing email address is a completeness issue.
What does a data catalog primarily provide in a data governance program?
Answer: A searchable inventory of data assets with metadata and lineage information
A data catalog is a metadata management tool that helps users find, understand, and trust data assets across the organization.