MLS-C01 Modeling Practice Question

Exhibit

Refer to the exhibit.

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "sagemaker:CreateTrainingJob",
        "sagemaker:DescribeTrainingJob"
      ],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "s3:GetObject"
      ],
      "Resource": "arn:aws:s3:::my-bucket/training-data/*"
    }
  ]
}

Refer to the exhibit. An IAM policy is attached to a SageMaker notebook instance role. When the data scientist tries to run a training job that writes model artifacts to 's3://my-bucket/models/', the job fails with an access denied error. What is the MOST likely cause?

⚠ Common exam trap

Test-takers frequently assume the error is due to a missing trust policy or a missing sagemaker:CreateTrainingJob permission, but the actual failure is at the S3 write step, which requires explicit s3:PutObject on the output bucket.

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

✓

Missing s3:PutObject permission for the output S3 bucket

The error occurs because the IAM policy attached to the SageMaker notebook instance role does not grant the s3:PutObject permission on the 's3://my-bucket/models/' path. SageMaker training jobs require this permission to write model artifacts to the specified S3 output bucket. Without it, the API call to upload the model fails with an access denied error, even if other S3 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 IAM role does not have a trust policy
Why it's wrong here
Trust policy is separate.
✓
Missing s3:PutObject permission for the output S3 bucket
Why this is correct
Write access is needed for model artifacts.
✗
The policy does not include any S3 actions
Why it's wrong here
It includes s3:GetObject.
✗
The sagemaker:CreateTrainingJob action is not allowed on the specific resource
Why it's wrong here
Resource is '*' for CreateTrainingJob.

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

MLS-C01 Modeling Practice Question

Exhibit

Why each option matters

Option-by-option breakdown

AWS S3 Storage Class Comparison

Related to this question