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 a Kinesis Data Analytics application that processes streaming data. The application is falling behind and has a high 'MillisBehindLatest' metric. The application uses a parallelism of 2. The source stream has 4 shards. What is the MOST likely cause and solution?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
The application parallelism is too low; increase it to 4.
The 'MillisBehindLatest' metric indicates the application is not keeping up with the incoming data. With a source stream of 4 shards and a parallelism of only 2, the application cannot process data from all shards concurrently, leading to backpressure. Increasing parallelism to match the shard count (4) allows each shard to be processed by a separate task, reducing lag.
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.
✗
The application is using a JSON format; switch to Avro.
Why it's wrong here
Data format does not affect processing speed significantly.
✗
The source stream has too many shards; decrease to 2.
Why it's wrong here
Reducing shards decreases throughput capacity, making the problem worse.
✓
The application parallelism is too low; increase it to 4.
Why this is correct
With 4 shards, parallelism should be at least 4 to process all shards concurrently.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
The output destination is slow; change to a faster sink.
Why it's wrong here
The high MillisBehindLatest indicates the application is not keeping up with ingestion, not the sink.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may assume increasing parallelism always improves performance, but the key insight is that parallelism must match or exceed the number of source shards to avoid a concurrency bottleneck, not just be arbitrarily high.
Detailed technical explanation
How to think about this question
Kinesis Data Analytics (now managed Apache Flink) assigns one parallel subtask per shard by default when parallelism equals the shard count. With parallelism=2 and 4 shards, two subtasks must each handle two shards, doubling the per-task load and increasing processing latency. In practice, you should set parallelism to at least the number of shards, and can increase it further for stateful operations like aggregations to distribute operator state across more subtasks.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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: The application parallelism is too low; increase it to 4. — The 'MillisBehindLatest' metric indicates the application is not keeping up with the incoming data. With a source stream of 4 shards and a parallelism of only 2, the application cannot process data from all shards concurrently, leading to backpressure. Increasing parallelism to match the shard count (4) allows each shard to be processed by a separate task, reducing lag.
What should I do if I get this DEA-C01 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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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