- A
Enable EMRFS consistent view for S3.
Why wrong: Does not affect memory usage.
- B
Increase the number of containers per node.
Why wrong: May increase memory contention.
- C
Increase the maximum Java heap size for the task nodes (mapreduce.map.java.opts).
Increases memory available to the JVM.
- D
Increase the YARN memory overhead parameter (yarn.nodemanager.resource.memory-mb).
Allows more memory for containers.
- E
Decrease the YARN container size.
Why wrong: Would reduce memory per container, worsening the issue.
Quick Answer
The correct actions are to increase the YARN memory overhead parameter and raise the maximum Java heap size for the task containers. This resolves the Java heap space error because YARN controls the total memory allocated to each container, while the JVM heap size determines how much of that memory the application can use for object storage. When processing large datasets from Amazon S3 with HDFS for intermediate storage, tasks can exceed the default heap limits, causing out-of-memory failures. On the AWS Certified Data Engineer Associate DEA-C01 exam, this scenario tests your understanding of YARN memory tuning and JVM configuration in Amazon EMR. A common trap is confusing container count with memory allocation—increasing the number of containers without adjusting total memory simply spreads the same limited resources thinner. Remember the mnemonic “Heap and Overhead” to recall that both the JVM heap and YARN memory overhead must be tuned together to fix heap space errors.
DEA-C01 Data Operations and Support Practice Question
This DEA-C01 practice question tests your understanding of data operations and support. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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 is troubleshooting an Amazon EMR cluster that has been running for several days. The cluster uses Amazon S3 as the data source and HDFS for intermediate storage. The engineer notices that some tasks fail with 'Java heap space' errors. Which TWO actions should the engineer take to resolve this issue?
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
Increase the maximum Java heap size for the task nodes (mapreduce.map.java.opts).
Options C and D are correct. Increasing the YARN memory overhead allows containers to allocate more memory, and increasing the maximum Java heap size reduces out-of-memory errors. Option A is wrong because increasing container count without increasing total memory may not help. Option B is wrong because reducing container count may cause resource underutilization. Option E is wrong because EMRFS consistent view does not affect memory.
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.
- ✗
Enable EMRFS consistent view for S3.
Why it's wrong here
Does not affect memory usage.
- ✗
Increase the number of containers per node.
Why it's wrong here
May increase memory contention.
- ✓
Increase the maximum Java heap size for the task nodes (mapreduce.map.java.opts).
Why this is correct
Increases memory available to the JVM.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Increase the YARN memory overhead parameter (yarn.nodemanager.resource.memory-mb).
Why this is correct
Allows more memory for containers.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Decrease the YARN container size.
Why it's wrong here
Would reduce memory per container, worsening the issue.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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
How to think about this question
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.
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.
- Use explanations to understand the rule behind the answer.
TExam Day Tips
- Underline the problem statement mentally.
- 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 DEA-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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Data Operations and Support — study guide chapter
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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Operations and Support — This question tests Data Operations and Support — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the maximum Java heap size for the task nodes (mapreduce.map.java.opts). — Options C and D are correct. Increasing the YARN memory overhead allows containers to allocate more memory, and increasing the maximum Java heap size reduces out-of-memory errors. Option A is wrong because increasing container count without increasing total memory may not help. Option B is wrong because reducing container count may cause resource underutilization. Option E is wrong because EMRFS consistent view does not affect memory.
What should I do if I get this DEA-C01 question wrong?
Identify which DEA-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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 2026
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.
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