This DEA-C01 practice question tests your understanding of data store management. 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 store semi-structured JSON logs from multiple microservices in a cost-effective manner for ad-hoc querying using SQL. Which AWS service should be used?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Athena with data in S3
Amazon Athena is the correct choice because it allows you to query semi-structured JSON logs stored in S3 directly using standard SQL, without needing to load or transform the data. Athena's schema-on-read approach and pay-per-query pricing make it highly cost-effective for ad-hoc analysis of large volumes of log data, as you only pay for the data scanned during queries.
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.
✓
Amazon Athena with data in S3
Why this is correct
Athena can query JSON in S3 directly using SQL, cost-effective for ad-hoc queries.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon DynamoDB
Why it's wrong here
DynamoDB is a NoSQL key-value store, not designed for SQL queries on JSON logs.
✗
Amazon RDS for MySQL
Why it's wrong here
RDS requires schema definition and is not cost-effective for semi-structured logs.
✗
Amazon Kinesis Data Analytics
Why it's wrong here
Kinesis Data Analytics is for real-time streaming analytics, not ad-hoc queries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Amazon Athena with Amazon Kinesis Data Analytics, mistakenly thinking that Kinesis is the go-to service for SQL-based log analysis, when in fact Kinesis is for real-time streaming and Athena is the correct serverless query service for stored data in S3.
Detailed technical explanation
How to think about this question
Athena leverages Presto under the hood to execute SQL queries directly on data in S3, using a schema-on-read approach where the structure is inferred at query time via table definitions in the AWS Glue Data Catalog. For JSON logs, Athena supports nested data types and can use SerDe libraries like Hive JSON SerDe or OpenX JSON SerDe to parse complex structures, but it's important to note that deeply nested JSON can lead to performance issues if not properly flattened or partitioned. In practice, partitioning logs by date or microservice ID and using columnar formats like Parquet can drastically reduce query costs and improve performance.
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 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.
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: Amazon Athena with data in S3 — Amazon Athena is the correct choice because it allows you to query semi-structured JSON logs stored in S3 directly using standard SQL, without needing to load or transform the data. Athena's schema-on-read approach and pay-per-query pricing make it highly cost-effective for ad-hoc analysis of large volumes of log data, as you only pay for the data scanned during queries.
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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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.
Question Discussion
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