CompTIA Data+ (DA0-001) — All Questions

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All Data Concepts and Environments Data Mining Data Analysis Visualization Data Governance, Quality, and Controls

4 questions

Data Governance, Quality, and Controls

Which data-quality dimension is concerned with whether all required values are present and no fields are unexpectedly empty?

a.Timeliness
b.Consistency
c.Accuracy
d.Completeness✓

Completeness measures whether all required data is present, with missing values reducing it. Accuracy concerns correctness, consistency concerns agreement across systems, and timeliness concerns whether data is current, each a distinct dimension of quality.

Data Governance, Quality, and Controls

An organization designates one authoritative source for customer records so that every system references the same trusted definition of a customer. Which practice is this?

a.Master data management (MDM)✓
b.Data visualization
c.Encryption in transit
d.A moving average

Master data management establishes a single, authoritative source for core business entities such as customers or products, so all systems share a consistent, trusted definition. Visualization, encryption, and moving averages address other concerns entirely.

Data Governance, Quality, and Controls

A dataset contains personally identifiable information (PII). Which control most directly limits who can view this sensitive data?

a.Adding more chart colors
b.Increasing the sample size
c.Role-based access controls✓
d.Converting the file to CSV

Role-based access controls restrict data access according to a user's role, ensuring only authorized people can view sensitive PII. Chart styling, sample size, and file format have no bearing on who is permitted to access the data.

Data Governance, Quality, and Controls

Why is a data retention policy an important part of data governance?

a.It guarantees that every chart uses the same color palette
b.It defines how long data is kept and when it is securely disposed of✓
c.It automatically increases query performance
d.It replaces the need for data backups

A retention policy specifies how long different types of data are kept and when they must be securely destroyed, supporting compliance and reducing risk from holding data longer than necessary. It is unrelated to chart styling, query speed, or backups.