Question 159 of 1,024
Cloud Technology and ServicesmediumMultiple ChoiceObjective-mapped

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 processes millions of customer records and needs to query data in Amazon S3 without loading it into a database. The data is stored in Parquet format. Which AWS service enables this with no infrastructure to manage?

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

Amazon Athena

Amazon Athena is a serverless interactive query service that allows you to analyze data directly in Amazon S3 using standard SQL, with no infrastructure to manage. It natively supports Parquet format, which is columnar and optimized for efficient querying, making it ideal for querying millions of customer records without loading them into a database.

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 Spectrum

    Why it's wrong here

    Redshift Spectrum can query S3 data but requires a running Redshift cluster — Athena is fully serverless with no cluster to manage.

  • Amazon Athena

    Why this is correct

    Athena queries S3 data directly using SQL with no infrastructure management — Parquet's columnar format minimizes data scanned and query cost, making it ideal for Athena.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Amazon EMR

    Why it's wrong here

    EMR can run Spark/Hive queries on S3 data but requires cluster provisioning — Athena is serverless.

  • AWS Glue ETL

    Why it's wrong here

    Glue ETL transforms data — it's not a query service. Glue Data Catalog integrates with Athena for schema management, but Athena is the query engine.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse Amazon Redshift Spectrum (which also queries S3) with a serverless service, but it still requires a managed Redshift cluster, whereas Athena is truly serverless with zero infrastructure management.

Detailed technical explanation

How to think about this question

Athena leverages the Presto distributed SQL engine under the hood, automatically scaling compute resources based on query complexity and data volume. It uses a pay-per-query pricing model based on the amount of data scanned, and with Parquet’s columnar storage and compression (e.g., Snappy), Athena can significantly reduce scanned bytes and costs by using partition pruning and predicate pushdown. A real-world scenario is querying terabytes of IoT sensor logs in S3 where loading into a database would be cost-prohibitive and slow.

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.

Quick reference

AWS S3 Storage Class Comparison

Storage ClassMin DurationRetrievalUse Case
S3 StandardNoneImmediateFrequently accessed data
S3 Standard-IA30 daysImmediateInfrequent access, rapid retrieval
S3 One Zone-IA30 daysImmediateNon-critical infrequent data
S3 Intelligent-TieringNoneImmediate–hoursUnknown or changing access patterns
S3 Glacier Instant90 daysMillisecondsArchive with instant retrieval
S3 Glacier Flexible90 daysMinutes–hoursArchive, flexible retrieval
S3 Glacier Deep Archive180 daysHoursLong-term compliance archive

What to study next

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FAQ

Questions learners often ask

What does this CLF-C02 question test?

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 allows you to analyze data directly in Amazon S3 using standard SQL, with no infrastructure to manage. It natively supports Parquet format, which is columnar and optimized for efficient querying, making it ideal for querying millions of customer records without loading them into a database.

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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Last reviewed: Jun 11, 2026

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This CLF-C02 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 CLF-C02 exam.