MLS-C01 Modeling Practice Question
Exhibit
Refer to the exhibit.
```
aws sagemaker create-training-job \
--training-job-name my-training-job \
--algorithm-specification TrainingImage=382416733822.dkr.ecr.us-east-1.amazonaws.com/linear-learner:1,TrainingInputMode=File \
--role-arn arn:aws:iam::123456789012:role/SageMakerRole \
--input-data-config [{"ChannelName":"train","DataSource":{"S3DataSource":{"S3DataType":"AugmentedManifestFile","S3Uri":"s3://bucket/train.manifest","S3DataDistributionType":"FullyReplicated"}},"ContentType":"application/x-recordio"}] \
--output-data-config S3OutputPath=s3://bucket/output \
--resource-config InstanceType=ml.m5.large,InstanceCount=1,VolumeSizeInGB=10 \
--stopping-condition MaxRuntimeInSeconds=3600Refer to the exhibit. A data scientist runs the above AWS CLI command to create a SageMaker training job using the built-in Linear Learner algorithm. The training job fails with an 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 S3 data type is AugmentedManifestFile, but Linear Learner requires RecordIO or CSV
The command uses `S3DataType` as `AugmentedManifestFile`, but the Linear Learner algorithm only supports `RecordIO` or `CSV` as the S3 data type. AugmentedManifestFile is used for algorithms like object detection that require additional labels. The content type `application/x-recordio` is correct for RecordIO, but since the data type is set to AugmentedManifestFile, the training job fails. The IAM role, instance type, and MaxRuntimeInSeconds are all valid and would not cause this specific error. Therefore, the most likely cause is the incorrect S3 data type, which corresponds to option A.
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 S3 data type is AugmentedManifestFile, but Linear Learner requires RecordIO or CSV
Why this is correct
Linear Learner does not support augmented manifest.
- ✗
The IAM role does not have sufficient permissions
Why it's wrong here
The role is provided; permissions are not indicated as the issue.
- ✗
The instance type ml.m5.large does not support the Linear Learner algorithm
Why it's wrong here
ml.m5.large supports Linear Learner.
- ✗
The MaxRuntimeInSeconds is too short
Why it's wrong here
3600 seconds is a reasonable limit.
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.