MLS-C01 Practice Question: Machine Learning Implementation and Operations
Exhibit
Refer to the exhibit.
```
aws sagemaker create-training-job \
--training-job-name my-training \
--algorithm-specification TrainingImage=... \
--role-arn arn:aws:iam::123456789012:role/SageMakerRole \
--input-data-config [{"ChannelName":"train","DataSource":{"S3DataSource":{"S3Uri":"s3://bucket/data","S3DataType":"S3Prefix"}}}] \
--output-data-config {"S3OutputPath":"s3://bucket/output"} \
--resource-config {"InstanceCount":2,"InstanceType":"ml.m5.large","VolumeSizeInGB":10}
```Refer to the exhibit. A data scientist runs the AWS CLI command to create a SageMaker training job. The training job fails because the input data is not accessible. Which step should the data scientist take to fix the issue?
⚠ Common exam trap
Many exam-takers confuse IAM role permissions with bucket policies or network configurations, thinking that VPC settings or storage size can fix an S3 access denied error, when the root cause is always a missing IAM action on the execution role.
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
✓
Attach an IAM policy to SageMakerRole that grants s3:GetObject on the bucket
The training job fails because the SageMaker execution role (SageMakerRole) lacks the necessary IAM permissions to read the input data from the S3 bucket. By attaching an IAM policy that grants s3:GetObject on the specific bucket, the role gains the required access. SageMaker uses the execution role to access S3 data, so the role's permissions must explicitly allow the GetObject action.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Attach an IAM policy to SageMakerRole that grants s3:GetObject on the bucket
Why this is correct
The role needs explicit S3 read permissions.
- ✗
Add a VpcConfig to the training job
Why it's wrong here
Network issue not indicated.
- ✗
Modify the bucket policy to allow s3:GetObject for any principal
Why it's wrong here
Too broad; IAM role should be used.
- ✗
Increase VolumeSizeInGB to 50
Why it's wrong here
Volume size is for local storage, not S3 access.
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.