- A
AWS Glue
Glue provides job scheduling and ETL capabilities.
- B
Amazon Athena
Why wrong: Athena is for querying data, not for scheduling ETL.
- C
Amazon EMR
Why wrong: EMR is a big data framework; overkill for simple scheduled copy.
- D
Amazon Kinesis Data Analytics
Why wrong: Kinesis Data Analytics is for real-time streaming.
Question 1,630 of 1,786
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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?
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
✓
AWS Glue
AWS Glue is the correct choice because it provides managed ETL (extract, transform, load) capabilities and can be scheduled to run daily. Glue jobs can directly read CSV files from S3 and write to a Redshift table that already exists. Option A (correct) accurately identifies AWS Glue for this automated data movement task. Option B (Amazon Athena) is wrong because Athena is an interactive query service, not an ETL scheduler; it cannot autonomously move data on a schedule. Option C (Amazon EMR) is wrong because while EMR can handle such tasks, it requires provisioning a cluster, managing lifecycle, and more configuration than needed for a simple daily copy—Glue is simpler and more cost-effective for this use case. Option D (Amazon Kinesis Data Analytics) is wrong because it is designed for processing streaming data in real time, not for batch copying of CSV files.
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.
- ✓
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
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
What to study next
Got this wrong? Here's your next step.
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.
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: AWS Glue — AWS Glue is the correct choice because it provides managed ETL (extract, transform, load) capabilities and can be scheduled to run daily. Glue jobs can directly read CSV files from S3 and write to a Redshift table that already exists. Option A (correct) accurately identifies AWS Glue for this automated data movement task. Option B (Amazon Athena) is wrong because Athena is an interactive query service, not an ETL scheduler; it cannot autonomously move data on a schedule. Option C (Amazon EMR) is wrong because while EMR can handle such tasks, it requires provisioning a cluster, managing lifecycle, and more configuration than needed for a simple daily copy—Glue is simpler and more cost-effective for this use case. Option D (Amazon Kinesis Data Analytics) is wrong because it is designed for processing streaming data in real time, not for batch copying of CSV files.
What should I do if I get this DEA-C01 question wrong?
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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Last reviewed: Jun 20, 2026
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