The answer is three key factors: data structure, query frequency, and operational overhead. Amazon Redshift is optimized for highly structured, frequently queried data, requiring manual provisioning and ongoing cluster management, whereas Athena is serverless and ideal for ad-hoc queries on raw data in S3 with zero setup. On the AWS Certified Data Engineer Associate DEA-C01 exam, this distinction tests your understanding of when to choose a provisioned data warehouse versus a serverless query service—a common trap is assuming Athena handles complex joins and high concurrency as efficiently as Redshift, which it does not. Remember the memory tip: “Redshift for routine reports, Athena for quick looks.” This directly maps to the exam’s focus on cost, performance, and management trade-offs when querying large datasets in S3.
DEA-C01 Data Store Management Practice Question
This DEA-C01 practice question tests your understanding of data store management. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Which THREE factors should a data engineer consider when choosing between Amazon Redshift and Amazon Athena for querying large datasets in Amazon S3? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Redshift requires provisioning and managing clusters, while Athena is serverless.
Option B is correct because Amazon Redshift requires manual provisioning, configuration, and ongoing management of clusters, including node sizing, scaling, and maintenance windows. In contrast, Amazon Athena is a serverless service that automatically handles infrastructure, requiring no cluster management and allowing users to query data directly from Amazon S3 without any setup overhead.
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.
✗
Both support standard SQL queries.
Why it's wrong here
Both support SQL, not a differentiating factor.
✓
Redshift requires provisioning and managing clusters, while Athena is serverless.
Why this is correct
Redshift needs cluster management; Athena is serverless.
Related concept
Read the scenario before looking for a memorised answer.
✓
Athena charges per query based on data scanned, while Redshift charges for cluster compute capacity.
Why this is correct
Pricing models differ significantly.
Related concept
Read the scenario before looking for a memorised answer.
✗
Athena can only query data stored in Amazon S3, while Redshift can also query data in S3.
Why it's wrong here
Redshift can query data in S3 via Redshift Spectrum, but both can query S3.
✓
Redshift is optimized for highly structured, frequently queried data, while Athena is better for ad-hoc queries on raw data.
Why this is correct
Redshift excels for structured data; Athena for ad-hoc analysis.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume Athena is limited to S3-only queries or that both services have identical SQL support, overlooking the fundamental architectural differences in provisioning, cost models, and workload optimization that are the real decision factors.
Detailed technical explanation
How to think about this question
Athena uses Presto under the hood and charges per query based on the amount of data scanned, making it cost-effective for sporadic or ad-hoc queries on raw or semi-structured data in S3. Redshift uses a columnar storage engine and charges for provisioned cluster compute capacity (e.g., dc2 or ra3 nodes), which is better suited for high-performance, repeated queries on structured, frequently accessed data. This distinction is critical when optimizing for cost vs. performance in a data lake architecture.
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 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
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.
Data Store Management — This question tests Data Store Management — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Redshift requires provisioning and managing clusters, while Athena is serverless. — Option B is correct because Amazon Redshift requires manual provisioning, configuration, and ongoing management of clusters, including node sizing, scaling, and maintenance windows. In contrast, Amazon Athena is a serverless service that automatically handles infrastructure, requiring no cluster management and allowing users to query data directly from Amazon S3 without any setup overhead.
What should I do if I get this DEA-C01 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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Question Discussion
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