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CompTIA · DA0-002 · 2025 objectives

CompTIA Data+

280
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11
practice tests
1
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Real questions from the Data+ bank, one per domain. No account, no card needed! Just choose an answer and see the why.

1 / 5OBJ 1.1

In a star schema, which table contains the measurable, quantitative business metrics (such as sales amount) and foreign keys to surrounding tables?

Practice tests

Timed and scored like the real thing. Answers stay on the server until you submit, then every question is explained in review.

Exam objectives

What DA0-002 covers, and how much of the exam each domain accounts for. Percentages are the share of scored questions in the 2025 objectives.

1.0Data Concepts and Environments

20%
  • 1.1Explain data concepts (Database types, File extensions, Data structures, Data types).
  • 1.2Identify types of data sources (Databases, Application programming interfaces (APIs), Website data, Files, Logs, Data repositories).
  • 1.3Identify infrastructure concepts (Cloud providers, Cloud and on-premises infrastructure, Storage types, Containerization).
  • 1.4Identify common data analysis tools (Coding environments, Business intelligence software, Packages/libraries, Programming languages, Database management system (DBMS)).
  • 1.5Identify artificial intelligence (AI) concepts (Generative AI, Foundational models, Deep learning, Natural language processing (NLP), Robotic process automation (RPA)).

2.0Data Acquisition and Preparation

22%
  • 2.1Given a scenario, use data acquisition methods (Data integration, Querying, Basic query optimization, Data collection).
  • 2.2Given a scenario, perform data exploration to identify possible inconsistencies with a data set (Missing values, Duplication, Redundancy, Outliers, Completeness, Validation).
  • 2.3Given a scenario, perform appropriate data transformation and cleansing techniques (String manipulation, Conversion, Clustering, Augmentation, Exploding, Scaling).

3.0Data Analysis

24%
  • 3.1Given a set of requirements, determine the appropriate communication approach for data analysis (Mock-up, Accessibility, Technical vs. non- technical audience, Level of detail, Internal vs. external, User persona type).
  • 3.2Given a scenario, select the appropriate statistical method or function (Prescriptive, Descriptive, Predictive, Inferential, Mathematical, Logical).
  • 3.3Given a scenario, troubleshoot basic issues using the appropriate tool or method (Connectivity-related, User-reported, Basic SQL code, Corrupted data, Enable logging, Validate data source).

4.0Visualization and Reporting

20%
  • 4.1Given a scenario, use the appropriate visual elements (Charts, Maps, Pivot tables, Infographics, Labels, Legends).
  • 4.2Given a scenario, use the appropriate delivery or consumption method (Executive summary, Self-service portal, Dashboards, Data versioning techniques).
  • 4.3Given a scenario, troubleshoot issues using report validation techniques (Excessive load time, Slow refresh rate, Large data size, Filter not working correctly, Stale data, Corrupt data).

5.0Data Governance

14%
  • 5.1Explain data management concepts (Integration, Documentation, Source of truth, Data versioning, Metadata).
  • 5.2Summarize concepts related to data compliance (Retention, General Data Protection Regulation (GDPR), Jurisdictional requirements, Replication, Storage, Data ethics).
  • 5.3Compare and contrast data privacy and protection practices (Role-based access control, Encryption, Data usage, Data sharing, Personal identifiable information (PII), Personal health information (PHI)).
  • 5.4Compare and contrast data quality assurance practices (Requirement testing, Stress test, User acceptance test (UAT), Source control, Unit test, Data health check).

Summarized from CompTIA Data+’s published exam objectives. Always check the vendor’s current objectives before your exam.