MLS-C01 Modeling Practice Question
Network Topology
A CloudFormation stack creation failed. The SageMaker endpoint resource shows CREATE_FAILED. What is the most likely issue?
⚠ Common exam trap
Many exam-takers assume endpoint failures are always due to configuration or permissions, but the most common root cause in CloudFormation deployments is a missing S3 artifact, which is a prerequisite that is easy to overlook.
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 bucket 'my-bucket' does not contain the object 'model.tar.gz'.
A CREATE_FAILED status on a SageMaker endpoint resource during CloudFormation stack creation most commonly indicates that the model artifact specified in the Model definition cannot be located. SageMaker requires the S3 bucket and object path (e.g., 's3://my-bucket/model.tar.gz') to exist and be accessible at the time of model creation. If the object is missing, the model resource fails, cascading to the endpoint creation failure.
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 used by CloudFormation lacks permissions to create endpoints.
Why it's wrong here
The error message does not indicate a permission issue.
- ✓
The S3 bucket 'my-bucket' does not contain the object 'model.tar.gz'.
Why this is correct
The error states the model data is not accessible, likely because the object does not exist.
- ✗
The SageMaker endpoint configuration is invalid.
Why it's wrong here
The error is specifically about model data accessibility, not configuration.
- ✗
The instance type specified for the endpoint is not available in the region.
Why it's wrong here
The error is about model data, not instance availability.
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
Related to this question
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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.