MLS-C01 Practice Question: Machine Learning Implementation and Operations
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 an IAM role used by a SageMaker training job. The training job fails with an access denied error when trying to write model artifacts to an S3 bucket. What is the most likely cause?
⚠ Common exam trap
The trap in this question is that candidates may confuse a write failure with a read failure, or assume the role is missing a broader permission like creating training jobs, when the error is specifically about missing s3:PutObject permission for the model artifacts 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
✓
The IAM role does not have permission to write to the S3 bucket
The IAM role attached to the SageMaker training job must have an IAM policy that grants s3:PutObject permission on the S3 bucket where model artifacts are written. The access denied error indicates that the role lacks the necessary write permissions for that specific bucket, causing the training job to fail when it attempts to upload the model output.
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 permission to write to the S3 bucket
Why this is correct
The policy lacks s3:PutObject, so writing model artifacts is denied.
- ✗
The training job is trying to write to a different S3 bucket
Why it's wrong here
The policy allows GetObject only on a specific bucket and prefix, but the error is about writing, not reading.
- ✗
The IAM role does not have permission to read the training data
Why it's wrong here
The policy includes s3:GetObject for the training data.
- ✗
The IAM role does not have permission to create training jobs
Why it's wrong here
The policy includes sagemaker: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
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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