Data & AI · CompTIA Certification

CompTIA Data+ DA0-002
Practice & Study Guide 2026

CompTIA Data+ validates the data-analytics skills to mine, analyse, visualise, and govern data so it drives business decisions. It is an ideal early-career analytics credential.

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Questions
Up to 90
Time
90 minutes
Passing score
675 / 900
Prerequisites
None (~18–24 mo experience recommended)
Cost (approx.)
$253
Valid for
3 years

What the CompTIA Data+ exam covers

The DA0-002 exam objectives, broken down by domain and weighting — spend your study time where the points are.

15%

Data Concepts & Environments

Data types, structures, schemas, and the systems data lives in.

25%

Data Mining

Acquiring, integrating, cleaning, and profiling data for analysis.

23%

Data Analysis

Descriptive statistics, analytic techniques, and interpreting results.

23%

Visualization

Choosing the right chart, building dashboards, and communicating insight.

14%

Data Governance, Quality & Controls

Governance, data quality, master data management, and controls.

Free CompTIA Data+ sample questions

Real exam-style questions with full explanations — exactly how CompTIA Data+ tests you.

1. An analyst wants to show the trend of monthly sales over two years. Which visualization is MOST appropriate?
APie chart
BLine chart ✓
CHeat map
DWord cloud
Why: A line chart is the best choice for showing a continuous trend over time. Pie charts show proportion at a point in time, not change over time.
2. Removing duplicate records and fixing inconsistent formatting is part of which activity?
AData visualization
BData cleansing ✓
CData governance
DData encryption
Why: Cleansing (a data-mining/preparation activity) removes duplicates, fixes formatting, and handles missing values so downstream analysis is reliable.
📌 Heads-up: exam facts and pricing change over time — always confirm the latest details on comptia.org before you schedule.

CompTIA Data+ — frequently asked

Is Data+ good for a career change into analytics?

Yes. Data+ is vendor-neutral and focuses on practical analytics skills, making it a strong, recognised credential for breaking into data-analyst roles.

Do I need to know a programming language for Data+?

Data+ is tool-agnostic — it tests analytics concepts and judgment rather than a specific language, though SQL and spreadsheet familiarity help.

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