CompTIA Data+ (V2) (DA0-002) Exam Blueprint

DA0-002

90 minDuration
675Passing Score
2Languages
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What This Exam Validates

The CompTIA Data+ V2 certification, offered by CompTIA, evaluates core competencies in data concepts, acquisition, preparation, analysis, visualization, reporting, and governance. Candidates demonstrate their ability to work with various data structures, select appropriate statistical methods, create effective visual representations, and maintain data management standards over a 90-minute examination period across five domains.

Who Should Take This Exam

This exam suits practitioners and professionals working with data who need to demonstrate skills in data gathering, preparation, statistical analysis, and reporting. It targets those responsible for maintaining data integrity and governance within organizational environments.

Skills You Should Be Ready to Demonstrate

How to Prepare

Review each of the five exam domains in exhaustive detail to ensure complete understanding of all objectives. Practice data acquisition methods, data cleansing techniques, and basic statistical evaluations carefully. Focus on creating clear visualizations and understanding data management standards such as compliance and privacy strategies prior to testing.

Domain Study Guidance

Data concepts and environments: Study Guidance

This domain covers data concepts, database types, data structures, and file extensions. Candidates also learn to identify data sources and recognize infrastructure concepts including cloud and on-premise storage environments.

Data acquisition and preparation: Study Guidance

This section focuses on gathering and combining data through integration and queries. It includes exploring datasets for missing values, duplicates, or outliers, and applying cleansing, merging, and parsing transformations.

Data analysis: Study Guidance

Candidates learn to communicate analysis results to different audiences and apply basic statistical techniques. The domain also covers troubleshooting analysis issues using available tools and resources to resolve technical problems effectively.

Visualization and reporting: Study Guidance

This domain involves creating effective visuals using charts, maps, tables, and design elements. It requires delivering reports via dashboards and validating reporting accuracy to resolve any reporting issues that arise.

Data governance: Study Guidance

This section focuses on data management practices such as documentation, versioning, and lineage. It summarizes compliance requirements and compares privacy and protection strategies like access control, encryption, and data masking.

Exam-Day Guidance

Arrive at the testing center or set up your online proctored environment early. Manage your time carefully across the 90-minute exam to ensure you address all items.

Frequently asked questions

How many questions are on the exam?

The official documentation does not list the exact total question count, but the evaluation includes multiple-choice and performance-based question formats across the testing period for all candidates.

What is the passing score?

The passing score required to successfully complete the CompTIA Data+ V2 certification examination is set at 675 on a grading scale ranging from 100 to 900.

How long is the exam?

Candidates taking this certification examination are allotted a total duration of 90 minutes to complete all questions and performance-based items contained within the test environment.

When was the exam released?

The official certification program is tracked under the exam series designation associated with the first-party CompTIA Data+ V2 documentation officially released on October 14, 2025.

Sources and Verification

Verified 2026-09-13

How this page was made

This detailed reference page was built using official CompTIA Data+ V2 documentation, exam objectives, and verified structural facts regarding the certification series.

Exam Domains

1.0 Data concepts and environments 20%
  • 1.1Explain data concepts: Database types, data structures, file extensions, and data types.
  • 1.2Identify data sources: Databases, APIs, website data, files, logs and repositories.
  • 1.3Recognize infrastructure concepts: Cloud, on-premise, storage, and containerization.
  • 1.4Identify data tools: Coding environments, BI software, and analysis platforms.
  • 1.5Understand AI concepts: Identify AI models, natural language processing, and robotic automation.
2.0 Data acquisition and preparation 22%
  • 2.1Use data acquisition methods: Data integration and queries to gather and combine data.
  • 2.2Perform data exploration: Find missing values, duplication, redundancy, or outliers.
  • 2.3Apply data transformation: Cleansing, merging, parsing, and formatting data.
3.0 Data analysis 24%
  • 3.1Communicate analysis results: Select methods for different audiences.
  • 3.2Select statistical methods: Apply basic statistical techniques to data.
  • 3.3Troubleshoot analysis issues: Use tools and resources to resolve problems.
4.0 Visualization and reporting 20%
  • 4.1Create effective visuals: Use charts, maps, tables, and design elements.
  • 4.2Deliver reports: Provide dashboards or summaries using appropriate methods.
  • 4.3Validate reporting accuracy: Apply validation and review to solve reporting issues
5.0 Data governance 14%
  • 5.1Explain data management practices: Documentation, versioning, and data lineage.
  • 5.2Summarize compliance requirements: Retention, audits, and regulations.
  • 5.3Compare privacy and protection strategies: Access control, encryption, and masking.
  • 5.4Implement quality assurance: Profiling, monitoring, and testing for data quality.

Exam Details

LanguagesEnglish, Japanese