- A
ELT
ELT loads raw data, then transforms in the warehouse, typical for modern cloud warehouses.
- B
Data streaming
Why wrong: Streaming processes data in real-time; here files are batch-loaded.
- C
ETL
Why wrong: ETL transforms before loading; here, loading before transformation indicates ELT.
- D
CDC
Why wrong: Change Data Capture captures changes in databases, not a batch load approach.
Question 843 of 1,000
DA0-001 Data Concepts and Environments Practice Question
This DA0-001 practice question tests your understanding of data concepts and environments. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A company has a large data warehouse running on Snowflake. They receive daily CSV files from multiple sources and load them directly into the warehouse, then run SQL transformations to clean and aggregate the data. Which data integration 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
✓
ELT
This describes ELT (Extract, Load, Transform) because the raw CSV files are first loaded directly into Snowflake, and then SQL transformations are applied within the warehouse. Unlike ETL, where data is transformed before loading, ELT leverages Snowflake's compute power to perform transformations after ingestion, which is efficient for large-scale batch processing.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 this is correct
ELT loads raw data, then transforms in the warehouse, typical for modern cloud warehouses.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Data streaming
Why it's wrong here
Streaming processes data in real-time; here files are batch-loaded.
- ✗
ETL
Why it's wrong here
ETL transforms before loading; here, loading before transformation indicates ELT.
- ✗
CDC
Why it's wrong here
Change Data Capture captures changes in databases, not a batch load approach.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse ELT with ETL because both involve transformations, but the key distinction is the order of loading versus transforming; Cisco often tests this by describing the sequence of operations to see if you recognize that loading raw data first is the hallmark of ELT.
Detailed technical explanation
How to think about this question
In Snowflake, ELT is often implemented using external stages (e.g., S3 or Azure Blob) to stage CSV files, then COPY INTO commands to load raw data into staging tables, followed by SQL-based transformations (e.g., using CTEs, MERGE, or stored procedures) to clean and aggregate. This approach minimizes data movement and leverages Snowflake's auto-scaling compute for transformation, which is a key advantage over traditional ETL where transformation occurs in a separate middleware tool.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DA0-001 question test?
Data Concepts and Environments — This question tests Data Concepts and Environments — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: ELT — This describes ELT (Extract, Load, Transform) because the raw CSV files are first loaded directly into Snowflake, and then SQL transformations are applied within the warehouse. Unlike ETL, where data is transformed before loading, ELT leverages Snowflake's compute power to perform transformations after ingestion, which is efficient for large-scale batch processing.
What should I do if I get this DA0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This DA0-001 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 DA0-001 exam.
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