Quick Answer
The answer is AWS Glue. This is the correct choice because AWS Glue is a fully managed extract, transform, and load (ETL) service that can natively read CSV data from Amazon S3, transform it if needed, and write it directly into an existing Amazon Redshift table, all while supporting a built-in scheduler to automate daily data loads. On the AWS Certified Data Engineer Associate DEA-C01 exam, this question tests your ability to distinguish between services for batch ETL versus ad-hoc querying or real-time processing—a common trap is confusing Athena’s query capabilities with Glue’s ETL orchestration. Remember that Glue is purpose-built for scheduled, serverless ETL jobs, whereas Athena is for interactive SQL queries on data in place. Memory tip: think “Glue sticks S3 to Redshift” for daily batch loads.
This DEA-C01 practice question tests your understanding of data operations and support. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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 data engineer needs to move data from an Amazon S3 bucket to an Amazon Redshift cluster on a daily schedule. The data is in CSV format and the target table already exists. Which AWS service should the engineer use to automate this task?
AWS Glue
Glue provides job scheduling and ETL capabilities.
Amazon Athena
Why wrong: Athena is for querying data, not for scheduling ETL.
Amazon EMR
Why wrong: EMR is a big data framework; overkill for simple scheduled copy.
Amazon Kinesis Data Analytics
Why wrong: Kinesis Data Analytics is for real-time streaming.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
AWS Glue
Option B is correct because AWS Glue can be used to run ETL jobs that copy data from S3 to Redshift on a schedule. Option A is wrong because Amazon Athena is a query service, not an ETL scheduler. Option C is wrong because Amazon EMR is a big data platform but requires more setup for simple scheduling. Option D is wrong because Amazon Kinesis Data Analytics is for real-time streaming data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
AWS Glue
Why this is correct
Glue provides job scheduling and ETL capabilities.
Related concept
Read the scenario before looking for a memorised answer.
Amazon Athena
Why it's wrong here
Athena is for querying data, not for scheduling ETL.
Amazon EMR
Why it's wrong here
EMR is a big data framework; overkill for simple scheduled copy.
Amazon Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for real-time streaming.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Data Operations and Support — study guide chapter
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FAQ
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
The correct answer is: AWS Glue — Option B is correct because AWS Glue can be used to run ETL jobs that copy data from S3 to Redshift on a schedule. Option A is wrong because Amazon Athena is a query service, not an ETL scheduler. Option C is wrong because Amazon EMR is a big data platform but requires more setup for simple scheduling. Option D is wrong because Amazon Kinesis Data Analytics is for real-time streaming data.
Identify which DEA-C01 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This DEA-C01 practice question is part of Courseiva's free Amazon Web Services 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-C01 exam.
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