All 5 domains
18 official objectives
80–120 hrs suggested study
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Domain 01
20%
The vocabulary layer of Data+: how data is stored, typed, sourced, hosted and handled by tools and AI. Every later domain assumes you can read a schema, a file type or a storage choice on sight.
Inside this domain
- Explain data concepts.
- Identify types of data sources.
- Identify infrastructure concepts.
- Identify common data analysis tools.
- and 1 more objectives
Watch for Varchar for multilingual names
- Objectives
- 5
Read the domain guide →
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Domain 02
22%
Where the data work actually happens: pulling records with queries and pipelines, finding what is wrong with them, and fixing it without distorting the result. Expect hands-on, scenario and performance-based items here.
Inside this domain
- Given a scenario, use data acquisition methods.
- Given a scenario, perform data exploration to identify possible inconsistencies with a data set.
- Given a scenario, perform appropriate data transformation and cleansing techniques.
Watch for Inner join by default
- Objectives
- 3
Read the domain guide →
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Domain 03
24%
The heaviest Data+ domain: choosing the right statistical method, shaping findings for the audience who will act on them, and fixing the connection, SQL and data problems that stall an analysis.
Inside this domain
- Given a set of requirements, determine the appropriate communication approach for data analysis.
- Given a scenario, select the appropriate statistical method or function.
- Given a scenario, troubleshoot basic issues using the appropriate tool or method.
Watch for Most advanced method wins
- Objectives
- 3
Read the domain guide →
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Domain 04
20%
How findings reach people: picking the visual that fits the comparison, delivering it in the form the audience will actually use, and proving the report is fast, fresh and correct before anyone acts on it.
Inside this domain
- Given a scenario, use the appropriate visual elements.
- Given a scenario, use the appropriate delivery or consumption method.
- Given a scenario, troubleshoot issues using report validation techniques.
Watch for Pie for a trend
- Objectives
- 3
Read the domain guide →
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Domain 05
14%
The rules and checks that make data trustworthy and lawful to use: documented definitions, compliance obligations, privacy controls and the testing that proves data quality before and after release.
Inside this domain
- Explain data management concepts.
- Summarize concepts related to data compliance.
- Compare and contrast data privacy and protection practices.
- Compare and contrast data quality assurance practices.
Watch for Encryption for display limits
- Objectives
- 4
Read the domain guide →
Domain names, weights and objectives come from CompTIA's official outline (CompTIA Data+ DA0-002 V2 Exam Objectives, Document Version 2.0 (exam launched 14 October 2025)). Question counts and study hours are editorial planning estimates, not official figures. Last reviewed October 2026.