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 data quality dimension addresses whether data is available when needed?
Answer: Timeliness
Timeliness measures whether data is available and up-to-date at the time it is needed for a given use case or decision.
What is data deduplication in the context of data quality?
Answer: Identifying and removing duplicate records from a dataset
Data deduplication is the process of detecting and eliminating redundant records to ensure each entity is represented only once in a dataset.
Which of the following is an example of a data governance policy?
Answer: Only authorized personnel may access personally identifiable information (PII)
Data governance policies are formal rules that regulate how data is accessed, used, and protected — restricting PII access to authorized users is a classic example.
What does data 'validity' mean as a data quality dimension?
Answer: Data conforms to defined formats, ranges, and business rules
Validity means that data values conform to specified formats, allowable ranges, and business rules (e.g., a date field must contain a valid date).
In data governance, what is the purpose of data classification?
Answer: Organizing data into groups based on sensitivity and handling requirements
Data classification categorizes data by sensitivity level (e.g., public, internal, confidential, restricted) to determine appropriate security controls and handling procedures.
Which framework is commonly used to structure enterprise data governance programs in the US?
Answer: DAMA-DMBOK
DAMA-DMBOK (Data Management Body of Knowledge) is the standard reference framework for data management and governance practices.