MLS-C01 Modeling Practice Question

Exhibit

Refer to the exhibit.

```
{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "s3:GetObject",
                "s3:PutObject"
            ],
            "Resource": "arn:aws:s3:::my-bucket/*"
        },
        {
            "Effect": "Allow",
            "Action": [
                "sagemaker:CreateTrainingJob",
                "sagemaker:CreateModel",
                "sagemaker:CreateEndpointConfig",
                "sagemaker:CreateEndpoint"
            ],
            "Resource": "*"
        }
    ]
}
```

Refer to the exhibit. A data scientist is trying to create a SageMaker training job but receives an access denied error. The IAM policy shown is attached to the user. What is the likely issue?

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 s3:ListBucket permission

The policy allows s3:GetObject and s3:PutObject on the bucket, but SageMaker training jobs also require s3:ListBucket permission to read objects. Without it, access is denied. Option A is wrong because the policy includes sagemaker:CreateTrainingJob. Option C is wrong because the error is about creating a training job, not a model. Option D is wrong because the policy does allow s3:PutObject.

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 allow sagemaker:CreateTrainingJob
Why it's wrong here
It does allow it.
✓
The policy is missing s3:ListBucket permission
Why this is correct
SageMaker needs to list objects in the bucket.
✗
The policy does not allow sagemaker:CreateModel
Why it's wrong here
It does allow it.
✗
The policy does not allow s3:PutObject
Why it's wrong here
It does allow 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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MLS-C01 Modeling Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

AWS S3 Storage Class Comparison

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