Prepare for the CompTIA Data+ DA0-002 V2 exam with independent digital study resources from CertCraft Institute. This exam-prep hub brings the available Data+ study formats together so you can compare options, review the five exam domains, and build a practical path from concept review to question-based and interactive practice.
CompTIA Data+ DA0-002 V2 exam at a glance
The Data+ exam is designed to validate practical data skills across the data life cycle, including acquiring and preparing data, analyzing information, creating useful visualizations and reports, and applying governance and quality practices.
- Exam code: DA0-002
- Number of questions: Maximum of 90
- Question types: Multiple-choice and performance-based
- Exam length: 90 minutes
- Recommended experience: Approximately 1.5 to 2 years of experience that includes exposure to databases and analytical tools, basic statistics, and data visualization
Always check CompTIA's current Data+ certification page and the latest DA0-002 exam objectives before scheduling your exam. Exam requirements, policies, and objectives can change.
CompTIA Data+ DA0-002 V2 exam domains
1. Data Concepts and Environments — 20%
This domain establishes the data foundations used throughout the exam. Review database types, structured and unstructured data, common file formats and data types, data sources such as databases, APIs, files and logs, and repositories including data warehouses, lakes, lakehouses and marts. You should also understand common infrastructure and storage concepts, analysis tools, programming and query environments, business intelligence platforms, and introductory artificial intelligence concepts such as generative AI, large language models, natural language processing and automation.
2. Data Acquisition and Preparation — 22%
This domain focuses on getting data into a usable and trustworthy state. Be prepared to work with data integration, SQL querying, joins, unions, grouping and aggregation, basic query optimization, ETL and ELT processes, surveying and sampling. Data exploration and cleansing are also important: missing values, duplication, redundancy, outliers, completeness, validation, regular expressions, conversions, binning, scaling, standardization, imputation, parsing, merging, appending and derived fields.
3. Data Analysis — 24%
Data Analysis is the largest DA0-002 domain. It covers how to select appropriate analytical and communication approaches for different audiences and requirements, including accessibility, level of detail, internal versus external communication, user personas, sensitive information and key performance indicators. Review descriptive, predictive, prescriptive and inferential methods, measures of central tendency and dispersion, logical, date and string functions, and basic troubleshooting of connectivity, SQL, data quality and user-reported issues.
4. Visualization and Reporting — 20%
This domain measures your ability to turn analysis into clear information for decision-making. Review charts, maps, pivot tables and infographics together with labels, legends, branding and color choices. Understand executive summaries, self-service portals, static and dynamic dashboards, recurring and ad hoc reporting, snapshots and real-time views. You should also know how to validate and troubleshoot reports when load times, refresh rates, filters, stale data, corrupt data or changing data structures cause problems.
5. Data Governance — 14%
Governance brings together data management, compliance, privacy, protection and quality. Focus on documentation, data flow diagrams, explainability reports, data dictionaries, hierarchy, lineage, sources of truth, metadata and versioning. Review retention, jurisdictional requirements, GDPR, PCI DSS, auditing, classification, incident reporting and data ethics. Privacy and protection topics include role-based access control, encryption in transit and at rest, data usage and sharing, PII, PHI, anonymization and masking. Quality assurance includes requirement testing, UAT, source control, unit testing, health checks, drift monitoring, profiling and quality metrics.
Choose your CompTIA Data+ study format
CompTIA Data+ DA0-002 V2 Study Bundle
Best for: learners who want all three CertCraft Data+ preparation formats in one purchase. The bundle combines Practice Tests & Exam Prep, Rapid Review and the interactive Exam Simulator, giving you concept review, question-based practice and browser-based study tools in one package.
View the CompTIA Data+ DA0-002 V2 Study Bundle
Practice Tests & Exam Prep
Best for: repeated question practice, checking recall and identifying weaker domains. This digital PDF resource includes 500 practice questions, detailed explanations and an answer key.
View CompTIA Data+ DA0-002 V2 Practice Tests & Exam Prep
Interactive Exam Simulator
Best for: candidates who want a more interactive study workflow. The simulator includes five practice tests with 500 questions in total, answer explanations, flashcards, progress tracking, bookmarks, achievements, search, random mock exam mode and timed practice in an interactive HTML format.
View the CompTIA Data+ DA0-002 V2 Exam Simulator
Rapid Review
Best for: structured revision of the five DA0-002 domains before or between practice sessions. The Rapid Review is a 131-page digital PDF designed for focused review of the current Data+ content areas.
View the CompTIA Data+ DA0-002 V2 Rapid Review
A practical DA0-002 V2 study path
- Start with the current exam objectives. Read CompTIA's latest DA0-002 objectives so you understand the five domains and the skills expected in each area.
- Build the foundation. Use the Rapid Review to organize key concepts across data environments, acquisition, analysis, reporting and governance.
- Practise with questions. Work through the Practice Tests and study the explanations, especially when you miss a question or arrive at the correct answer for the wrong reason.
- Use interactive practice. Move to the Exam Simulator for timed sessions, random mock exams, flashcards, bookmarks and progress-based review.
- Return to weak domains. Review the official objectives and your study materials for areas where practice results remain inconsistent.
- Repeat under exam-style conditions. Use timed practice to improve both accuracy and pacing as exam day approaches.
What to focus on for DA0-002 V2
Data environments, tools and AI concepts
Know how data is structured, stored and accessed across common environments. Be able to distinguish relational and non-relational systems, understand common file and repository types, and recognize the role of SQL, notebooks, BI tools, programming languages and analytics libraries. The current objectives also include awareness of generative AI, large language models, foundational models, deep learning, NLP and robotic process automation.
SQL, acquisition, ETL/ELT and data preparation
Expect to reason about how data is acquired and prepared for analysis. Practice common SQL operations and understand when joins, unions, filters, grouping, aggregation and nested queries are appropriate. Review ETL versus ELT, data collection methods, missing values, duplicates, outliers, validation and the transformation techniques used to clean and standardize datasets.
Statistics and analytical reasoning
Data+ does not require advanced mathematical theory, but you should be comfortable selecting and interpreting basic statistical approaches. Review descriptive, predictive, prescriptive and inferential concepts together with measures of central tendency and dispersion. Connect the calculation or method to the business question being answered rather than memorizing terms in isolation.
Visualization, dashboards and communication
A correct calculation is only useful when the result is communicated clearly. Practice choosing suitable charts and reporting formats, tailoring the level of detail to different audiences, applying accessibility considerations, and troubleshooting dashboards and reports. Understand the difference between recurring and ad hoc reports, static and dynamic dashboards, and snapshot versus real-time information.
Governance, privacy, security and data quality
Review how organizations document, protect, govern and validate data throughout its life cycle. Pay attention to lineage, metadata, source-of-truth concepts, retention, classification, regulatory considerations, access control, encryption, sensitive data, anonymization, masking, quality testing and monitoring. Scenario questions may combine governance requirements with practical data-analysis decisions.
Frequently asked questions
What is CompTIA Data+ DA0-002?
DA0-002 is the current Data+ exam code covered by these CertCraft resources. It focuses on practical data concepts, acquisition and preparation, analysis, visualization and reporting, and governance.
How many questions are on the DA0-002 exam?
The DA0-002 exam has a maximum of 90 questions and includes multiple-choice and performance-based questions. The test length is 90 minutes. Verify the latest exam details with CompTIA before scheduling.
Which Data+ domain has the largest weighting?
Data Analysis is the largest domain at 24%, followed by Data Acquisition and Preparation at 22%. Data Concepts and Environments and Visualization and Reporting are each 20%, while Data Governance is 14%.
Which CertCraft Data+ format should I choose?
Choose Practice Tests if you mainly want question-based practice and explanations, the Exam Simulator if you want interactive browser-based practice and study tools, and Rapid Review if you want a structured PDF revision resource. Choose the Study Bundle if you want all three formats together.
Are these physical books?
No. The CertCraft resources linked on this page are digital products delivered electronically. No physical item is shipped.
Are CertCraft Data+ resources official CompTIA materials?
No. CertCraft Institute is an independent exam-preparation publisher. These resources are not official CompTIA training materials and are not affiliated with, endorsed by, or sponsored by CompTIA. CompTIA, Data+ and related trademarks are the property of their respective owners.
Study note: Certification exams can change. Use CompTIA's current Data+ certification information and latest DA0-002 exam objectives as the source of truth for the exam you plan to take.