DA0-002 Data Concepts and Environments Practice Question
A company is ingesting data from multiple sources into a cloud data warehouse. They decide to load the data raw and then perform transformations within the warehouse. Which approach does this describe?
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
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ELT
ELT (Extract, Load, Transform) loads raw data first, then transforms it inside the data warehouse, as opposed to ETL which transforms before loading.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
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Data lake ingestion
Why it's wrong here
Data lake ingestion lands raw files in object storage without the warehouse's schema-on-write and SQL transformation layer the scenario specifies. It is tempting because raw landing is genuinely correct when the destination is a data lake serving diverse downstream consumers.
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ETL
Why it's wrong here
ETL transforms data before loading it into the target, whereas the scenario loads raw data first and transforms afterwards inside the warehouse. It is tempting because ETL is genuinely the right approach when the warehouse must only ever receive cleansed, conformed data.
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ELT
Why this is correct
ELT extracts raw data, loads it into the warehouse unchanged, then transforms it there using the warehouse's compute. The stem specifies loading raw before transforming within the warehouse, which is precisely the load-then-transform ordering that distinguishes ELT from ETL.
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Stream processing
Why it's wrong here
Stream processing handles continuous event data with low latency, not batch loading of raw extracts followed by in-warehouse transformation. It is tempting because streaming is genuinely correct when the requirement is near-real-time analysis of continuously arriving events.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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