MLS-C01 Practice Question: Machine Learning Implementation and Operations
Exhibit
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": "sagemaker:*",
"Resource": "*"
},
{
"Effect": "Allow",
"Action": "s3:*",
"Resource": "arn:aws:s3:::my-bucket"
},
{
"Effect": "Allow",
"Action": "iam:PassRole",
"Resource": "arn:aws:iam::123456789012:role/SageMakerExecutionRole"
}
]
}Refer to the exhibit. An administrator has attached this IAM policy to a user. The user tries to start a SageMaker training job that uses a custom Docker image from Amazon ECR. The training job fails with an access denied error. What is the MOST likely reason?
⚠ Common exam trap
Many exam-takers assume full sagemaker:* and s3:* permissions are sufficient, overlooking the specific ECR permissions required when using a custom Docker image from a private repository.
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 policy is missing ecr:GetDownloadUrlForLayer and ecr:BatchGetImage.
The IAM policy grants sagemaker:* and s3:* actions but does not include the specific ECR permissions required to pull a custom Docker image. When SageMaker launches a training job with a custom image, it needs ecr:GetDownloadUrlForLayer and ecr:BatchGetImage to authenticate and download the image layers from Amazon ECR. Without these permissions, the training job fails with an access denied error.
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:* action is too permissive and should be scoped.
Why it's wrong here
Overly permissive S3 policy is not causing the failure.
- ✓
The policy is missing ecr:GetDownloadUrlForLayer and ecr:BatchGetImage.
Why this is correct
ECR permissions are required to pull the custom image.
- ✗
The iam:PassRole permission is missing the SageMaker service principal.
Why it's wrong here
The PassRole is allowed for the specific role.
- ✗
The sagemaker:* action should be restricted to specific resources.
Why it's wrong here
SageMaker actions are allowed, but ECR is missing.
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 |
Go deeper
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.