MLS-C01 Modeling Practice Question
Exhibit
Refer to the exhibit.
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTrainingJob",
"sagemaker:CreateModel",
"sagemaker:CreateEndpointConfig",
"sagemaker:CreateEndpoint",
"sagemaker:InvokeEndpoint"
],
"Resource": "*"
}
]
}A machine learning engineer is trying to deploy a model using a SageMaker endpoint but receives an access denied error. The IAM policy attached to the role is shown in the exhibit. What is the MOST likely cause of the error?
⚠ Common exam trap
The trap here is that candidates often focus on missing SageMaker-specific actions (like CreateEndpoint or InvokeEndpoint) rather than recognizing that the fundamental issue is the missing iam:PassRole permission, which is a common prerequisite for any AWS service that needs to assume a role.
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 does not include iam:PassRole.
The error occurs because the IAM role used by SageMaker does not have the iam:PassRole permission, which is required to allow SageMaker to assume the role and access the necessary resources (e.g., S3 buckets, EC2 instances) during endpoint deployment. Without this permission, SageMaker cannot pass the role to the service, resulting in an access denied error even if other SageMaker actions are allowed.
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 policy does not include sagemaker:CreateEndpoint.
Why it's wrong here
It does include sagemaker:CreateEndpoint.
- ✗
The policy does not specify resource ARNs.
Why it's wrong here
Resource '*' is allowed.
- ✗
The policy does not include sagemaker:InvokeEndpoint.
Why it's wrong here
It does include sagemaker:InvokeEndpoint.
- ✓
The policy does not include iam:PassRole.
Why this is correct
SageMaker requires iam:PassRole to use the execution role.
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.