- A
Set the batch size to 1
Why wrong: Batch size does not affect ordering; Kinesis already provides per-shard ordering.
- B
Increase the Lambda function's reserved concurrency
Why wrong: More concurrency can cause out-of-order processing.
- C
Set the parallelization factor to 1
This ensures a single Lambda instance processes each shard, maintaining order.
- D
Configure a dead-letter queue for failed records
Why wrong: DLQ handles failures but does not guarantee order.
- E
Enable S3 bucket versioning to track duplicates
Versioning helps detect duplicates; combined with idempotent writes, ensures exactly-once.
Quick Answer
The answer is to enable S3 bucket versioning and increase the parallelization factor. S3 bucket versioning tracks every object write, allowing the Lambda function to detect and discard duplicate records by comparing version IDs, which is essential for ensuring exactly-once and ordered processing in Kinesis with Lambda. Increasing the parallelization factor, meanwhile, allows a single shard to be processed by multiple concurrent Lambda invocations, but critically, each invocation still receives records in strict sequence from the shard, preserving order while boosting throughput. On the AWS Certified Machine Learning Specialty MLS-C01 exam, this question tests your understanding of how Kinesis shard-level ordering interacts with Lambda’s concurrency model—a common trap is confusing batch size or DLQs with ordering guarantees. Remember the mnemonic: “Version for verification, parallel for pace, but order stays in place.”
MLS-C01 Data Engineering Practice Question
This MLS-C01 practice question tests your understanding of data engineering. 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.
A company is using Amazon Kinesis Data Streams with a Lambda consumer. The Lambda function writes results to an S3 bucket. The team wants to ensure that each record is processed exactly once and in order. Which TWO configurations should the team implement? (Choose 2.)
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
Set the parallelization factor to 1
Option B (Enable parallelization factor) and Option E (Use S3 bucket versioning) are correct. Option A is wrong because batch size does not affect ordering. Option C is wrong because concurrency limits don't ensure ordering. Option D is wrong because DLQ does not affect ordering.
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.
- ✗
Set the batch size to 1
Why it's wrong here
Batch size does not affect ordering; Kinesis already provides per-shard ordering.
- ✗
Increase the Lambda function's reserved concurrency
Why it's wrong here
More concurrency can cause out-of-order processing.
- ✓
Set the parallelization factor to 1
Why this is correct
This ensures a single Lambda instance processes each shard, maintaining order.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Configure a dead-letter queue for failed records
Why it's wrong here
DLQ handles failures but does not guarantee order.
- ✓
Enable S3 bucket versioning to track duplicates
Why this is correct
Versioning helps detect duplicates; combined with idempotent writes, ensures exactly-once.
Related concept
Read the scenario before looking for a memorised answer.
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 startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
Got this wrong? Here's your next step.
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
Questions learners often ask
What does this MLS-C01 question test?
Data Engineering — This question tests Data Engineering — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Set the parallelization factor to 1 — Option B (Enable parallelization factor) and Option E (Use S3 bucket versioning) are correct. Option A is wrong because batch size does not affect ordering. Option C is wrong because concurrency limits don't ensure ordering. Option D is wrong because DLQ does not affect ordering.
What should I do if I get this MLS-C01 question wrong?
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.
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 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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