Quick Answer
The answer is Amazon EMR. For complex ETL workloads requiring full Apache Spark capabilities, EMR provides a managed cluster that handles provisioning, tuning, and auto-scaling, drastically reducing operational overhead while giving you direct control over Spark configurations and libraries. AWS Glue, while serverless, is optimized for simpler, schema-on-read ETL jobs and lacks the flexibility needed for intricate transformations like custom UDFs or multi-step data pipelines. On the MLS-C01 exam, this distinction tests your understanding of when to choose a purpose-built managed Spark service over a simplified ETL tool; a common trap is assuming Glue’s serverless nature always means less overhead, but for complex Spark logic, EMR’s managed environment is the correct fit. Memory tip: think “EMR for Engineered Spark, Glue for Gluing simple tables.”
This MLS-C01 practice question tests your understanding of data engineering. 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 needs to perform complex transformations on large datasets stored in Amazon S3 using Apache Spark. They want to minimize operational overhead. Which AWS service should they use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Amazon EMR
EMR provides managed Spark clusters for complex transformations.
Amazon EC2 with manually configured Spark
Why wrong: Increases operational overhead.
Amazon Athena
Why wrong: Athena is for SQL queries, not Spark.
AWS Glue
Why wrong: Glue is best for simple ETL, not complex Spark jobs.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Amazon EMR
Amazon EMR with Spark is a managed service that reduces operational overhead. AWS Glue is for simpler ETL, not complex Spark transformations. EC2 requires manual setup. Athena is SQL-based, not Spark.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Amazon EMR
Why this is correct
EMR provides managed Spark clusters for complex transformations.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Amazon EC2 with manually configured Spark
Why it's wrong here
Increases operational overhead.
Amazon Athena
Why it's wrong here
Athena is for SQL queries, not Spark.
AWS Glue
Why it's wrong here
Glue is best for simple ETL, not complex Spark jobs.
Common exam traps
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
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.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which MLS-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
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
The correct answer is: Amazon EMR — Amazon EMR with Spark is a managed service that reduces operational overhead. AWS Glue is for simpler ETL, not complex Spark transformations. EC2 requires manual setup. Athena is SQL-based, not Spark.
Identify which MLS-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.
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
This MLS-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 MLS-C01 exam.
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