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/training-data/*"
},
{
"Effect": "Allow",
"Action": [
"sagemaker:CreateTrainingJob",
"sagemaker:CreateModel"
],
"Resource": "*"
}
]
}
```Refer to the exhibit. An IAM policy is attached to a SageMaker notebook instance. The data scientist runs a training job that reads from s3://my-bucket/training-data/ and writes to s3://my-bucket/output/. The training job fails with an access denied error. What is the most likely cause?
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 allow s3:PutObject on the output location
The training job fails because the IAM policy does not grant s3:PutObject permission to the output location (s3://my-bucket/output/). The policy likely only allows s3:PutObject on the training-data prefix. Option A is incorrect because sagemaker:CreateTrainingJob is not directly related to write access; the job can be created but execution fails. Option C is incorrect because InvokeEndpoint is used for real-time inference, not training. Option D is incorrect because the policy does allow s3:GetObject on the training data (as it permits read access to that prefix).
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
The policy allows sagemaker:CreateTrainingJob on all resources.
- ✓
The policy does not allow s3:PutObject on the output location
Why this is correct
The s3:PutObject action is restricted to the training-data prefix only.
- ✗
The policy is missing the sagemaker:InvokeEndpoint action
Why it's wrong here
InvokeEndpoint is not needed for training jobs.
- ✗
The policy does not allow s3:GetObject on the training data
Why it's wrong here
The policy does allow s3:GetObject on training-data.
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.