Data and Analytics Data Governance and Quality

Question 1

What are the five dimensions commonly used to measure data quality?

Accepted Answer

Accuracy, Completeness, Consistency, Timeliness, Uniqueness

Answer

The five core data quality dimensions are Accuracy (correct values), Completeness (no missing data), Consistency (no contradictions), Timeliness (up to date), and Uniqueness (no duplicates).

Question 2

What is PII in the context of data governance?

Accepted Answer

Personally Identifiable Information that can identify a specific individual

Answer

PII (Personally Identifiable Information) is any data that can be used to identify a specific individual, such as name, SSN, email, or biometric data.

Question 3

What does GDPR stand for and how does it affect US companies?

Accepted Answer

General Data Protection Regulation — applies to US companies handling EU residents' data

Answer

GDPR is the EU's data protection regulation that applies to any organization, including US companies, that processes personal data of EU residents.

Question 4

What is data lineage?

Accepted Answer

The origin, movement, transformation, and destination of data throughout its lifecycle

Answer

Data lineage tracks where data comes from, how it moves through systems, what transformations it undergoes, and where it ends up.

Question 5

What is data masking used for?

Accepted Answer

Replacing sensitive data with realistic but fictitious data to protect privacy

Answer

Data masking replaces sensitive real data with structurally similar but fictional values, enabling development and testing without exposing actual sensitive data.

Data and Analytics Practice Test

Data and Analytics Practice Test

Data and Analytics Data Governance and Quality