- A
Increase the number of shards in the source Kinesis stream to improve throughput.
Why wrong: More shards increase parallelism but CPU may still be bottleneck.
- B
Increase the parallelism of the Flink application to distribute the workload across more resources.
More parallelism can reduce CPU utilization and checkpoint time.
- C
Increase the heap memory of the Flink application to handle larger state.
Why wrong: High CPU is the issue, not memory.
- D
Decrease the checkpoint interval to 30 seconds to reduce the amount of state being checkpointed.
Why wrong: More frequent checkpoints increase overhead.
DEA-C01 Data Ingestion and Transformation Practice Question
This DEA-C01 practice question tests your understanding of data ingestion and transformation. 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 financial services company is building a real-time fraud detection system. Transaction data is ingested via Amazon Kinesis Data Streams and processed by an Amazon Kinesis Data Analytics for Apache Flink application that runs sliding window aggregations. The output is written to an Amazon S3 bucket for downstream analysis. The Flink application is configured with parallelism of 4 and checkpointing every minute. The company has noticed that the application is experiencing high latency and the checkpointing is frequently failing. The CloudWatch metrics show that the Flink application's CPU utilization is near 100% and the checkpoint duration is spiking to over 5 minutes. The data engineer needs to improve performance. Which action should the data engineer take?
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 parallelism of the Flink application to distribute the workload across more resources.
Option C is correct because increasing parallelism allows the workload to be distributed across more resources, reducing CPU pressure and checkpoint duration. Option A is wrong because reducing checkpoint interval would increase frequency and likely worsen failures. Option B is wrong because increasing shards without increasing parallelism may not help if CPU is bottleneck. Option D is wrong because memory increase is not the primary issue.
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.
- ✗
Increase the number of shards in the source Kinesis stream to improve throughput.
Why it's wrong here
More shards increase parallelism but CPU may still be bottleneck.
- ✓
Increase the parallelism of the Flink application to distribute the workload across more resources.
Why this is correct
More parallelism can reduce CPU utilization and checkpoint time.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Increase the heap memory of the Flink application to handle larger state.
Why it's wrong here
High CPU is the issue, not memory.
- ✗
Decrease the checkpoint interval to 30 seconds to reduce the amount of state being checkpointed.
Why it's wrong here
More frequent checkpoints increase overhead.
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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FAQ
Questions learners often ask
What does this DEA-C01 question test?
Data Ingestion and Transformation — This question tests Data Ingestion and Transformation — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Increase the parallelism of the Flink application to distribute the workload across more resources. — Option C is correct because increasing parallelism allows the workload to be distributed across more resources, reducing CPU pressure and checkpoint duration. Option A is wrong because reducing checkpoint interval would increase frequency and likely worsen failures. Option B is wrong because increasing shards without increasing parallelism may not help if CPU is bottleneck. Option D is wrong because memory increase is not the primary issue.
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.
About these practice questions
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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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