DA0-002 Data Concepts and Environments Practice Question
A company is migrating its data pipeline from on-premises to the cloud. The current ETL process transforms data before loading into a data warehouse. The new architecture will use ELT instead. Which THREE of the following are advantages of ELT over traditional ETL? (Select 3)
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
✓
Provides ability to reprocess raw data if transformation logic changes
ELT leverages cloud scalability, allows raw data storage for flexibility, and enables schema-on-read.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Ensures data quality before loading
Why it's wrong here
Data quality checks happen later in ELT, not before loading.
- ✓
Provides ability to reprocess raw data if transformation logic changes
Why this is correct
Raw data is preserved, allowing re-transformation.
- ✓
Leverages the processing power of the cloud data warehouse
Why this is correct
Cloud warehouses like Snowflake have scalable compute for transformations.
- ✗
Reduces storage costs by storing only transformed data
Why it's wrong here
ELT stores raw data, which can increase storage.
- ✓
Allows for schema-on-read, enabling flexible analysis
Why this is correct
Schema-on-read means data structure is applied at query time.
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