DA0-002 Data Concepts and Environments Practice Question
A company uses a data warehouse for reporting. They need to extract data from multiple sources, load it into a staging area, and then transform it before moving to the warehouse. This process is known as:
⚠ Common exam trap
It's easy for candidates to confuse the order of operations in ETL versus ELT, assuming that because modern cloud warehouses support ELT, the described staging-area process must be ELT, when in fact the staging area is a hallmark of traditional ETL.
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
The process described—extracting data from multiple sources, loading it into a staging area, and then transforming it before moving to the warehouse—is the classic definition of ETL (Extract, Transform, Load). In ETL, transformation occurs after extraction but before loading into the target system, which is exactly what the staging area is used for. This contrasts with ELT, where transformation happens after loading into the warehouse.
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 loads raw data into the target warehouse first and transforms it there, so no separate staging-then-transform-before-load step exists. It is tempting because ELT also extracts from multiple sources. The stem transforms before moving to the warehouse, which is ETL, not ELT.
- ✓
ETL
Why this is correct
ETL extracts from multiple sources, loads into a staging area, then transforms before loading into the warehouse, matching the stem's stated sequence exactly. ELT would transform after loading, so it does not fit the described staging-then-transform order.
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Data replication
Why it's wrong here
Replication copies data between systems to keep them synchronised, without a staging-then-transform step. It is tempting because replication does move data from sources. The stem's extract, stage, transform, load sequence is ETL, which transforms data before loading it into the warehouse.
- ✗
Data ingestion
Why it's wrong here
Data ingestion covers moving raw data into a store; it omits the staging-then-transform sequence the stem describes. It is tempting because ingestion is genuinely part of the pipeline. The described extract, stage, transform, load flow is ETL, where transformation occurs before loading into the warehouse.
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