MLS-C01 Practice Question: Machine Learning Implementation and Operations
Exhibit
{
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateEndpoint",
"sagemaker:InvokeEndpoint",
"cloudwatch:PutMetricData"
],
"Resource": "*"
}
]
}Refer to the exhibit. An IAM policy is attached to a SageMaker notebook instance. Which action will the notebook be able to perform?
⚠ Common exam trap
Test-takers frequently assume a SageMaker notebook instance automatically has broad permissions to perform all SageMaker actions, but the IAM policy explicitly limits the notebook to only `InvokeEndpoint`, so only endpoint invocation is allowed.
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
✓
Invoke a SageMaker endpoint
The IAM policy attached to the SageMaker notebook instance grants only the `sagemaker:InvokeEndpoint` action. This action allows the notebook to send inference requests to a deployed SageMaker endpoint. No other SageMaker or S3 actions are permitted, so the notebook can only invoke the endpoint.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a training job
Why it's wrong here
The policy does not include sagemaker:CreateTrainingJob.
- ✗
Create a model
Why it's wrong here
The policy does not include sagemaker:CreateModel.
- ✗
Read data from S3
Why it's wrong here
The policy does not include s3:GetObject.
- ✓
Invoke a SageMaker endpoint
Why this is correct
The policy explicitly allows sagemaker:InvokeEndpoint.
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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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.