CompTIA DA0-002 exam guide covering data life cycle, analysis, governance, and visualization decisions.
This CompTIA Data+ V2 guide helps DA0-002 candidates focus on what the exam tests, where close answers usually split, and which review page to use next.
Use the study plan to prepare for the CompTIA objectives, the cheat sheet for troubleshooting recall, the sample questions for decision practice, the FAQ for format checks, the resources page for CompTIA exam references, and the glossary when term recognition needs a reset.
| Item | Guide value |
|---|---|
| Vendor | CompTIA |
| Exam or credential | CompTIA Data+ V2 |
| Code or shorthand | DA0-002 |
| Study level | Data analytics |
| IT Mastery page | DA0-002 exam page |
| Guide shape | Start-here page, study plan, cheat sheet, FAQ, resources, and glossary. |
| Lane | What to master | Common weak answer |
|---|---|---|
| Data concepts and environments | Understand data types, structures, databases, warehouses, lakes, governance, and lifecycle. | Choosing tools before defining the data question and source quality. |
| Mining and manipulation | Clean, transform, join, filter, aggregate, and prepare data for analysis. | Changing data without tracking assumptions or reproducibility. |
| Analysis and statistics | Use descriptive statistics, distributions, correlation, hypothesis basics, and interpretation. | Confusing correlation, causation, and prediction. |
| Visualization and reporting | Choose chart types, dashboards, audience framing, and storytelling techniques. | Using a chart that hides the actual comparison or trend. |
| Governance and quality | Apply privacy, security, ethics, validation, lineage, and documentation. | Publishing analysis without data-quality notes or access controls. |
Data+ questions reward disciplined analysis: question, source, quality, method, visualization, conclusion, and governance.
Use the current CompTIA exam page for live exam details, including name, status, pricing, duration, delivery method, languages, retirement or beta changes, and domain weights where applicable.