CompTIA Data+ Exam Questions 2026 (DA0-002)
A realistic, exam-style CompTIA Data+ (DA0-002) question bank built on the official exam objectives — every answer explained, every domain covered. Updated for the 2026 exam.
What You Will Learn
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Data Concepts & Environments (15%)
Data types, structures, schemas, and the systems data lives in. -
Data Mining (25%)
Acquiring, integrating, cleaning, and profiling data for analysis. -
Data Analysis (23%)
Descriptive statistics, analytic techniques, and interpreting results. -
Visualization (23%)
Choosing the right chart, building dashboards, and communicating insight. -
Data Governance, Quality & Controls (14%)
Governance, data quality, master data management, and controls.
Requirements
- 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
- Always confirm the current objectives on comptia.org before booking your exam.
What's Included
Exam-style questions
Written to the same style, difficulty, and traps as the live DA0-002 exam.Every answer explained
Clear explanations for right and wrong options, so review turns directly into points.Timed exam mode
Full-length, timed sessions that build the pacing the real exam demands.Domain analytics
See your score per domain and know exactly where to focus next.
How to Pass CompTIA Data+ (DA0-002)
- Get a baseline. Take the free CompTIA Data+ practice test under timed conditions before you study anything else — it shows you which of the 5 domains need the most work.
- Study by domain weight. Spend your time in proportion to how much each domain counts on the DA0-002 exam, starting with the heaviest.
- Learn from every explanation. Review the reasoning behind every question — including the ones you got right — so you understand the concept, not just the answer.
- Finish with full timed exams. Book the real exam once you pass full-length practice exams comfortably and consistently, not just once.
Frequently Asked
Yes. Data+ is vendor-neutral and focuses on practical analytics skills, making it a strong, recognised credential for breaking into data-analyst roles.
Data+ is tool-agnostic — it tests analytics concepts and judgment rather than a specific language, though SQL and spreadsheet familiarity help.