DA0-002 Data Concepts and Environments Practice Question
A healthcare provider needs to integrate patient data from multiple clinics into a single data warehouse. Which process is used to extract, transform, and load the data?
⚠ Common exam trap
Candidates often confuse ETL with ELT, where candidates assume ELT is always better due to modern big data tools, but the question explicitly describes a traditional data warehouse integration requiring pre-load transformations.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
ETL
ETL (Extract, Transform, Load) is the correct process because the healthcare provider must first extract data from multiple source clinics, then transform it (e.g., standardize formats, clean duplicates, apply business rules) before loading it into the target data warehouse. This ensures data quality and consistency, which is critical for clinical analytics and reporting.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
ELT
Why it's wrong here
ELT is typically used for data lakes, where transformation occurs after loading.
- ✓
ETL
Why this is correct
ETL extracts data, transforms it, and loads it into the warehouse, suitable for structured integration.
- ✗
OLAP
Why it's wrong here
OLAP is analytical processing, not a data movement process.
- ✗
OLTP
Why it's wrong here
OLTP is a transaction processing system, not a data integration process.
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