Data and Analytics Data Governance and Quality 1 — Questions and Answers
Question 1: What are the five dimensions commonly used to measure data quality?
- Speed, Scale, Security, Scope, Structure
- Accuracy, Completeness, Consistency, Timeliness, Uniqueness (Correct answer)
- Availability, Reliability, Validity, Visibility, Volume
- Format, Frequency, Freshness, Fidelity, Flexibility
Correct answer: Accuracy, Completeness, Consistency, Timeliness, Uniqueness
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?
- Personal Identification Index
- Personally Identifiable Information that can identify a specific individual (Correct answer)
- Primary Integration Interface
- Publicly Integrated Information
Correct answer: Personally Identifiable Information that can identify a specific individual
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?
- General Data Privacy Rule — applies only in Europe
- General Data Protection Regulation — applies to US companies handling EU residents' data (Correct answer)
- Global Data Privacy Requirements — applies to all multinational companies
- Government Data Protection Registry — applies to federal agencies only
Correct answer: General Data Protection Regulation — applies to US companies handling EU residents' data
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?
- The age of a dataset
- The origin, movement, transformation, and destination of data throughout its lifecycle (Correct answer)
- A list of data owners and stewards
- The organizational hierarchy of data systems
Correct answer: The origin, movement, transformation, and destination of data throughout its lifecycle
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?
- Hiding charts from unauthorized users
- Replacing sensitive data with realistic but fictitious data to protect privacy (Correct answer)
- Encrypting data during transmission
- Compressing data for efficient storage
Correct answer: Replacing sensitive data with realistic but fictitious data to protect privacy
Data masking replaces sensitive real data with structurally similar but fictional values, enabling development and testing without exposing actual sensitive data.
Question 6: What is the California Consumer Privacy Act (CCPA)?
- A federal law requiring encryption of all consumer data
- A California state law giving consumers rights to know, delete, and opt out of the sale of their personal data (Correct answer)
- A national cybersecurity standard for data protection
- An FTC regulation on digital advertising
Correct answer: A California state law giving consumers rights to know, delete, and opt out of the sale of their personal data
CCPA is a California privacy law granting consumers rights to know what personal data is collected, request deletion, and opt out of data sales.
Data and Analytics Data Governance and Quality 1
What are the five dimensions commonly used to measure data quality?