DA0-002 Data Concepts and Environments Practice Question
A retail company processes daily transactions. The current system transforms data before loading it into the data warehouse. The volume is growing rapidly, and they want to load raw data first to reduce processing time. Which approach should they adopt?
⚠ Common exam trap
It's easy for candidates to confuse ETL and ELT, assuming that 'transform before load' (ETL) is always faster, but the question explicitly states the goal is to reduce processing time by loading raw data first, which directly points to ELT.
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
✓
ELT (Extract, Load, Transform)
(ELT) because the company wants to load raw data first and then transform it later, reducing initial processing time. ELT leverages the power of modern data warehouses to perform transformations after loading, which is ideal for rapidly growing volumes of raw transaction data.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change data capture (CDC)
Why it's wrong here
CDC captures incremental changes, but does not address the overall processing approach.
- ✗
ETL (Extract, Transform, Load)
Why it's wrong here
ETL transforms data before loading, which increases processing time upfront.
- ✓
ELT (Extract, Load, Transform)
Why this is correct
ELT loads raw data first, then transforms in the warehouse, reducing initial load time and utilizing warehouse resources.
- ✗
Data replication
Why it's wrong here
Data replication copies data without transformation, but not specifically for loading into a warehouse.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This DA0-002 practice question is part of Courseiva's free CompTIA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DA0-002 exam.