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Question 920 of 1,755
Data Engineering →hardMultiple ChoiceObjective-mapped

Quick Answer

The answer is to use an SQS queue to buffer event notifications and configure Lambda with a batch window. This approach decouples the S3 event stream from the Lambda invocation, allowing the function to poll messages from the queue in batches and process large objects within a longer, configurable timeout without being throttled by the synchronous trigger. Handling large objects in S3 event notification causing Lambda timeout is a classic scenario on the AWS Certified Machine Learning Specialty MLS-C01 exam, testing your understanding of asynchronous integration patterns versus simply increasing function resources. The common trap is to assume that raising the Lambda timeout or memory alone will fix the issue, but that ignores the fundamental bottleneck of synchronous invocation limits and payload size constraints. Remember the mnemonic: “Buffer the burst, batch the burden” — SQS absorbs the spike in notifications and lets Lambda work through large objects at its own pace.

MLS-C01 Data Engineering Practice Question

This MLS-C01 practice question tests your understanding of data engineering. 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.

Exhibit

Refer to the exhibit.

```
{
    "Records": [
        {
            "eventVersion": "2.1",
            "eventSource": "aws:s3",
            "awsRegion": "us-east-1",
            "eventName": "ObjectCreated:Put",
            "s3": {
                "s3SchemaVersion": "1.0",
                "bucket": {
                    "name": "my-data-lake",
                    "arn": "arn:aws:s3:::my-data-lake"
                },
                "object": {
                    "key": "data/2023/01/15/sample.json",
                    "size": 1024,
                    "eTag": "abc123"
                }
            }
        }
    ]
}
```

An S3 event notification triggers an AWS Lambda function when a new object is created. The Lambda function parses the event and processes the object. The function is failing with a timeout error for large objects. Which approach should be used to handle large objects efficiently?

Question 1hardmultiple choice
Full question →

Exhibit

Refer to the exhibit.

```
{
    "Records": [
        {
            "eventVersion": "2.1",
            "eventSource": "aws:s3",
            "awsRegion": "us-east-1",
            "eventName": "ObjectCreated:Put",
            "s3": {
                "s3SchemaVersion": "1.0",
                "bucket": {
                    "name": "my-data-lake",
                    "arn": "arn:aws:s3:::my-data-lake"
                },
                "object": {
                    "key": "data/2023/01/15/sample.json",
                    "size": 1024,
                    "eTag": "abc123"
                }
            }
        }
    ]
}
```

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 an SQS queue to buffer event notifications and configure Lambda with a batch window

Option B is correct because S3 event notifications can be sent to an SQS queue, and Lambda can process messages in batches with longer timeouts. Option A is wrong because increasing timeout alone doesn't solve the issue of large objects; Option C is wrong because Kinesis is not needed; Option D is wrong because Step Functions adds complexity.

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 Lambda function timeout to 15 minutes

    Why it's wrong here

    Lambda max timeout is 15 minutes, but large objects may still cause timeout.

  • ✓

    Use an SQS queue to buffer event notifications and configure Lambda with a batch window

    Why this is correct

    SQS decouples events and allows Lambda to process in batches, reducing timeout risk.

    Related concept

    Read the scenario before looking for a memorised answer.

  • ✗

    Stream events to Amazon Kinesis Data Streams and process with Lambda

    Why it's wrong here

    Kinesis is not needed; SQS is simpler.

  • ✗

    Use AWS Step Functions to orchestrate the processing

    Why it's wrong here

    Step Functions adds unnecessary complexity.

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 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: Use an SQS queue to buffer event notifications and configure Lambda with a batch window — Option B is correct because S3 event notifications can be sent to an SQS queue, and Lambda can process messages in batches with longer timeouts. Option A is wrong because increasing timeout alone doesn't solve the issue of large objects; Option C is wrong because Kinesis is not needed; Option D is wrong because Step Functions adds complexity.

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

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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.