- A
The IAM role used for the endpoint does not have s3:PutObject permission for the capture bucket.
Without write permission, data capture fails silently.
- B
The capture bucket is in a different region.
Why wrong: Cross-region capture is possible with proper permissions and bucket policy.
- C
The endpoint is using a multi-model endpoint which does not support data capture.
Why wrong: Multi-model endpoints do support data capture.
- D
The DataCaptureConfig parameter in the endpoint configuration is missing the "CaptureOptions" field.
Why wrong: Missing CaptureOptions would cause an error during endpoint creation, not silent failure.
MLA-C01 Deployment and Orchestration of ML Workflows Practice Question
This MLA-C01 practice question tests your understanding of deployment and orchestration of ml workflows. 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 company deploys a model using SageMaker and enables data capture for monitoring. After a week, they notice that the captured data is not being written to the specified S3 bucket. The endpoint is running and invocations are successful. What is the most likely cause?
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 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
The IAM role used for the endpoint does not have s3:PutObject permission for the capture bucket.
The most likely cause is that the IAM role associated with the SageMaker endpoint lacks the `s3:PutObject` permission for the target S3 bucket. Without this permission, the endpoint cannot write the captured inference data to S3, even though invocations succeed because the model itself does not require S3 write access to serve predictions.
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 IAM role used for the endpoint does not have s3:PutObject permission for the capture bucket.
Why this is correct
Without write permission, data capture fails silently.
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 capture bucket is in a different region.
Why it's wrong here
Cross-region capture is possible with proper permissions and bucket policy.
- ✗
The endpoint is using a multi-model endpoint which does not support data capture.
Why it's wrong here
Multi-model endpoints do support data capture.
- ✗
The DataCaptureConfig parameter in the endpoint configuration is missing the "CaptureOptions" field.
Why it's wrong here
Missing CaptureOptions would cause an error during endpoint creation, not silent failure.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often assume data capture fails due to endpoint misconfiguration (like missing CaptureOptions) or regional restrictions, when in fact the root cause is almost always an IAM permissions issue with the S3 bucket.
Detailed technical explanation
How to think about this question
Under the hood, SageMaker data capture works by intercepting requests and responses at the inference container level, serializing them, and uploading the captured payloads to S3 using the endpoint's execution role. A common subtlety is that the role must also have `s3:GetBucketLocation` permission for the capture bucket, or the upload may silently fail. In real-world scenarios, misconfigured S3 bucket policies (e.g., requiring `aws:SourceArn` or `aws:SourceAccount` conditions) can also block writes even if the IAM role has `s3:PutObject`.
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 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 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 MLA-C01 question test?
Deployment and Orchestration of ML Workflows — This question tests Deployment and Orchestration of ML Workflows — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: The IAM role used for the endpoint does not have s3:PutObject permission for the capture bucket. — The most likely cause is that the IAM role associated with the SageMaker endpoint lacks the `s3:PutObject` permission for the target S3 bucket. Without this permission, the endpoint cannot write the captured inference data to S3, even though invocations succeed because the model itself does not require S3 write access to serve predictions.
What should I do if I get this MLA-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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Last reviewed: Jun 24, 2026
This MLA-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 MLA-C01 exam.
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