DEA-C02 Data Transformation Practice Question
When migrating a large transformation from a legacy system to Snowflake, why is it recommended to prioritize ELT over ETL?
⚠ Common exam trap
Candidates frequently choose ETL because it is a familiar legacy concept, ignoring that Snowflake's architecture is fundamentally built to leverage ELT for massive parallel processing and performance.
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 minimizes data movement and leverages Snowflake's compute scalability.
Snowflake's architecture is optimized for ELT (Extract, Load, Transform), where data is loaded in raw form and transformed using Snowflake's massive compute power. This leverages the cloud data warehouse's scalability, parallel processing, and columnar storage. By moving the transformation logic into the warehouse, you avoid the bottlenecks and data movement costs associated with traditional ETL, resulting in significantly faster and more scalable data pipelines.
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 is required to use Snowflake's external stage integration.
Why it's wrong here
External stage integration is a loading mechanism that can be used regardless of whether you follow ETL or ELT. The choice of ELT is driven by architectural performance benefits, not by the requirement to use specific ingestion features like stages.
- ✓
ELT minimizes data movement and leverages Snowflake's compute scalability.
Why this is correct
ELT allows you to load raw data quickly and perform transformations using Snowflake’s engine, which is highly optimized for parallel execution. This avoids costly data movement and allows you to scale compute resources on-demand to handle even the most intensive transformation workloads.
- ✗
Snowflake does not support traditional ETL transformation tools.
Why it's wrong here
Snowflake supports a wide range of ETL tools through drivers and connectors. The recommendation for ELT is based on performance, cost, and architectural efficiency, not a lack of compatibility with traditional ETL methods or software vendors.
- ✗
ETL is only possible using Snowflake's proprietary Java API.
Why it's wrong here
ETL is a methodology, not a specific API-based process. While Snowflake provides various APIs for data manipulation, the decision to use ELT is about where the data is transformed, and Snowflake is intentionally designed to excel at the transformation phase after loading.
About these practice questions
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Snowflake exam blueprint
This DEA-C02 practice question is part of Courseiva's free Snowflake 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 DEA-C02 exam.