Question 22 of 835
hardMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A machine learning engineer deploys a model to an…
A machine learning engineer deploys a model to an Amazon SageMaker endpoint with data capture enabled. The endpoint uses a production variant with initial instance count of 2. After a week, they notice that the captured data is not being sent to the specified Amazon S3 bucket. The IAM role used by the endpoint has the following policy attached. What is the MOST likely reason for the failure?
⚠ Common exam trap
Test-takers frequently assume any S3 write permission on the bucket is sufficient, but SageMaker data capture requires explicit permission on the exact prefix path, not just the bucket or a wildcard that doesn't match the configured prefix.
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 does not have permission to write to the correct S3 prefix.
The IAM role attached to the SageMaker endpoint must have write permissions to the exact S3 prefix where data capture is configured. The policy shown likely grants access to a broader bucket or a different prefix, but not the specific path (e.g., s3://bucket-name/prefix/) that the endpoint's DataCaptureConfig specifies. Without s3:PutObject on that exact prefix, the captured data fails to upload silently.
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 S3 bucket does not exist.
Why it's wrong here
The scenario does not indicate bucket creation failure, and the policy suggests the bucket exists.
- ✗
The S3 bucket uses AWS KMS encryption and the role lacks kms:Decrypt permission.
Why it's wrong here
No mention of KMS encryption in the policy or scenario.
- ✓
The IAM role does not have permission to write to the correct S3 prefix.
Why this is correct
The policy restricts writes to 'captures/' prefix, but the endpoint may use a different prefix.
- ✗
The IAM role does not have s3:ListBucket permission.
Why it's wrong here
ListBucket is not required for PutObject.
Quick reference
AWS S3 Storage Class Comparison
| Storage Class | Min Duration | Retrieval | Use Case |
|---|---|---|---|
| S3 Standard | None | Immediate | Frequently accessed data |
| S3 Standard-IA | 30 days | Immediate | Infrequent access, rapid retrieval |
| S3 One Zone-IA | 30 days | Immediate | Non-critical infrequent data |
| S3 Intelligent-Tiering | None | Immediate–hours | Unknown or changing access patterns |
| S3 Glacier Instant | 90 days | Milliseconds | Archive with instant retrieval |
| S3 Glacier Flexible | 90 days | Minutes–hours | Archive, flexible retrieval |
| S3 Glacier Deep Archive | 180 days | Hours | Long-term compliance archive |
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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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