The answer is Amazon Athena. This service is the correct choice because it provides a serverless interactive query service that allows analysts to query data stored in Amazon S3 using standard SQL, with no infrastructure to provision or manage. Athena automatically scales the query engine to handle data of any size, executing queries directly against the S3 data lake without requiring data to be loaded into a separate database. On the AWS Certified Cloud Practitioner CLF-C02 exam, this question tests your understanding of serverless analytics and how Athena fits into a data lake architecture. A common trap is confusing Athena with Amazon Redshift Spectrum, but remember that Athena is fully serverless with no clusters to manage, while Redshift requires a provisioned cluster. For a quick memory tip, think of Athena as the “SQL-on-S3” service: just point, query, and pay per query.
CLF-C02 Cloud Technology and Services Practice Question
This CLF-C02 practice question tests your understanding of cloud technology and services. 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 company is building a data lake on AWS. Which AWS service provides a serverless interactive query service that allows analysts to query data stored in Amazon S3 using standard SQL?
Why wrong: Redshift is a data warehouse requiring cluster provisioning — data must be loaded into Redshift tables, unlike Athena which queries S3 in place.
B
Amazon Athena
Athena provides serverless SQL queries directly on S3 data with no infrastructure management — pay per query based on data scanned, with results available in seconds to minutes.
C
Amazon EMR
Why wrong: EMR requires cluster provisioning to run Spark/Hive queries — Athena is serverless with no cluster management.
D
AWS Glue
Why wrong: Glue performs ETL processing and maintains the Data Catalog — the Glue Data Catalog integrates with Athena for schema discovery, but Athena is the query service.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Amazon Athena
Amazon Athena is a serverless interactive query service that enables analysts to query data stored in Amazon S3 using standard SQL. It requires no infrastructure management, as Athena automatically scales and executes queries directly against data in S3, making it the ideal choice for ad-hoc analysis on a data lake.
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 Redshift
Why it's wrong here
Redshift is a data warehouse requiring cluster provisioning — data must be loaded into Redshift tables, unlike Athena which queries S3 in place.
✓
Amazon Athena
Why this is correct
Athena provides serverless SQL queries directly on S3 data with no infrastructure management — pay per query based on data scanned, with results available in seconds to minutes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Amazon EMR
Why it's wrong here
EMR requires cluster provisioning to run Spark/Hive queries — Athena is serverless with no cluster management.
✗
AWS Glue
Why it's wrong here
Glue performs ETL processing and maintains the Data Catalog — the Glue Data Catalog integrates with Athena for schema discovery, but Athena is the query service.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse AWS Glue (an ETL service) with Athena (a query service), or assume Amazon Redshift is serverless because of its recent serverless option, but the question explicitly requires a serverless interactive query service for S3 data using standard SQL, which only Athena fulfills.
Detailed technical explanation
How to think about this question
Athena uses Presto under the hood, a distributed SQL query engine, and charges only for the data scanned per query, making it cost-effective for occasional or exploratory queries. It integrates with AWS Glue Data Catalog for schema management and supports partitioned data in S3 to reduce query costs by scanning only relevant partitions. A real-world scenario is querying terabytes of log files in S3 without moving data, where analysts can run standard SQL and pay only for the bytes read.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this CLF-C02 question in full detail.
Cloud Technology and Services — This question tests Cloud Technology and Services — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Amazon Athena — Amazon Athena is a serverless interactive query service that enables analysts to query data stored in Amazon S3 using standard SQL. It requires no infrastructure management, as Athena automatically scales and executes queries directly against data in S3, making it the ideal choice for ad-hoc analysis on a data lake.
What should I do if I get this CLF-C02 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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