Domain 1 — Data Concepts and Environments (20%)
Focus on the forms data can take, how data is represented, and how operational and analytical environments differ. You should be able to connect a workload to a suitable platform rather than memorizing platform names in isolation.
- Data types and structures
- Databases, warehouses, and lakes
- Cloud, on-premises, and hybrid environments
Domain 2 — Data Acquisition and Preparation (22%)
This domain follows data from collection into a usable analytical state. It emphasizes profiling, validation, transformation, integration, and the responsible handling of missing or duplicated information.
- Collection and integration
- Data quality and cleansing
- Transformation and preparation
Domain 3 — Data Analysis (24%)
As the largest domain, analysis requires both calculation and interpretation. Know what a measure communicates, when it can be misleading, and what conclusions the available evidence supports.
- Descriptive statistics
- Distributions and relationships
- Analytical interpretation
Domain 4 — Visualization and Reporting (20%)
Visualization turns results into communication. Choose visual forms that match the comparison, trend, distribution, or relationship, then design reports for clarity, accessibility, and the intended audience.
- Chart selection
- Dashboard and report design
- Accessible communication
Domain 5 — Data Governance (14%)
Governance establishes accountability and control across the data lifecycle. Connect access, quality, privacy, lineage, retention, and classification requirements to the risks they reduce.
- Roles and policies
- Security and privacy
- Lifecycle, quality, and lineage
Original Public Practice
Check Your Understanding
1. Which domain carries the highest percentage of the DA0-002 exam?
Show answer and explanation
Answer: Domain 3: Data Analysis, at 24%.
The published weighting makes analysis the largest individual domain, although all five domains remain testable.
2. A scenario asks how long customer records should be stored. Which domain is most directly involved?
Show answer and explanation
Answer: Domain 5: Data Governance.
Retention requirements are lifecycle controls established through governance policy.
3. A scenario asks how to correct inconsistent date formats before analysis. Which domain is most directly involved?
Show answer and explanation
Answer: Domain 2: Data Acquisition and Preparation.
Standardizing inconsistent values is a data-preparation task.