DAC DAC Data Governance & Quality 3

Question 1

Which data quality dimension addresses whether data is available when needed?

Accepted Answer

Timeliness

Answer

Timeliness measures whether data is available and up-to-date at the time it is needed for a given use case or decision.

Question 2

What is data deduplication in the context of data quality?

Accepted Answer

Identifying and removing duplicate records from a dataset

Answer

Data deduplication is the process of detecting and eliminating redundant records to ensure each entity is represented only once in a dataset.

Question 3

Which of the following is an example of a data governance policy?

Accepted Answer

Only authorized personnel may access personally identifiable information (PII)

Answer

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.

Question 4

What does data 'validity' mean as a data quality dimension?

Accepted Answer

Data conforms to defined formats, ranges, and business rules

Answer

Validity means that data values conform to specified formats, allowable ranges, and business rules (e.g., a date field must contain a valid date).

Question 5

In data governance, what is the purpose of data classification?

Accepted Answer

Organizing data into groups based on sensitivity and handling requirements

Answer

Data classification categorizes data by sensitivity level (e.g., public, internal, confidential, restricted) to determine appropriate security controls and handling procedures.

Data Analytics Certifications (DAC) Practice Test

Data Analytics Certifications (DAC) Practice Test

DAC DAC Data Governance & Quality 3