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Data Operations and Support →mediumMultiple ChoiceObjective-mapped

DEA-C01 Data Operations and Support Practice Question

This DEA-C01 practice question tests your understanding of data operations and support. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.

An Amazon Kinesis Data Streams application is lagging behind. The data records are small (1 KB) and the shard count is 10. The consumer uses the KCL with default configuration. Which action will MOST effectively reduce the consumer lag?

A
Increase the number of KCL workers per shard (e.g., 2 workers per shard).
Why wrong: The KCL does not support multiple workers per shard; each shard is processed by a single worker sequentially. Therefore, increasing workers per shard is not a valid configuration.
B
Use Enhanced Fan-Out to provide dedicated throughput.
Enhanced Fan-Out provides each consumer with dedicated throughput (2 MB/s per shard) and push-based delivery, which reduces latency and lag directly. This is the most effective action to reduce consumer lag given the scenario.
C
Increase the number of shards to 20.
Why wrong: Increasing the number of shards can help if the shard is saturated with incoming data, but the problem is consumer lag (processing speed), not ingestion throughput. Enhanced Fan-Out is more targeted.
D
Reduce the record size by compressing the data.
Why wrong: Compressing records reduces data size, which can improve throughput, but does not address the consumer's processing latency. The records are small (1 KB) already, so compression offers minimal benefit.

Full breakdown with real-world context →

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

✓

Use Enhanced Fan-Out to provide dedicated throughput.

Enhanced Fan-Out provides each consumer with dedicated throughput (2 MB/s per shard) and eliminates the need for polling, which reduces latency and lag. Given that the consumer is lagging with default configuration and small records, Enhanced Fan-Out directly addresses the consumer-side bottleneck by providing dedicated read throughput, making it the most effective option. Option A is incorrect because the KCL does not support multiple workers per shard; each shard is processed by a single worker in a single-threaded manner. Option C may help if the shard is saturated with incoming data, but the problem is consumer lag, not data ingestion. Option D reduces data size but does not address the consumer processing speed.

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 KCL workers per shard (e.g., 2 workers per shard).
Why it's wrong here
The KCL does not support multiple workers per shard; each shard is processed by a single worker sequentially. Therefore, increasing workers per shard is not a valid configuration.
✓
Use Enhanced Fan-Out to provide dedicated throughput.
Why this is correct
Enhanced Fan-Out provides each consumer with dedicated throughput (2 MB/s per shard) and push-based delivery, which reduces latency and lag directly. This is the most effective action to reduce consumer lag given the scenario.
Related concept
Read the scenario before looking for a memorised answer.
✗
Increase the number of shards to 20.
Why it's wrong here
Increasing the number of shards can help if the shard is saturated with incoming data, but the problem is consumer lag (processing speed), not ingestion throughput. Enhanced Fan-Out is more targeted.
✗
Reduce the record size by compressing the data.
Why it's wrong here
Compressing records reduces data size, which can improve throughput, but does not address the consumer's processing latency. The records are small (1 KB) already, so compression offers minimal benefit.

Common exam traps

Common exam trap: answer the scenario, not the keyword

Candidates often assume that adding more shards (Option C) will always reduce lag, but the bottleneck is the consumer's processing capacity. Enhanced Fan-Out (Option B) is specifically designed to reduce consumer lag by providing dedicated throughput per consumer.

Detailed technical explanation

How to think about this question

Under the hood, the KCL uses a single-threaded record processor per shard by default, and each record is processed sequentially via the `processRecords` method. Increasing workers per shard (using `maxRecords` or multiple `RecordProcessor` instances) allows concurrent processing of records from the same shard, which is effective when records are small and the consumer is CPU-bound. In real-world scenarios, this is common when the consumer performs heavy transformations or external API calls per record, making parallelization within a shard the most direct way to reduce lag without changing the shard topology.

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.

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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: Use Enhanced Fan-Out to provide dedicated throughput. — Enhanced Fan-Out provides each consumer with dedicated throughput (2 MB/s per shard) and eliminates the need for polling, which reduces latency and lag. Given that the consumer is lagging with default configuration and small records, Enhanced Fan-Out directly addresses the consumer-side bottleneck by providing dedicated read throughput, making it the most effective option. Option A is incorrect because the KCL does not support multiple workers per shard; each shard is processed by a single worker in a single-threaded manner. Option C may help if the shard is saturated with incoming data, but the problem is consumer lag, not data ingestion. Option D reduces data size but does not address the consumer processing speed.

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.

What is the key concept behind this question?

Read the scenario before looking for a memorised answer.

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