mediumMultiple ChoiceObjective-mapped
MLA-C01 Practice Question: A team used the above config to create an endpoint
Network Topology
A team used the above config to create an endpoint. However, the endpoint fails to invoke because of a "ModelError". What is the most likely cause?
⚠ Common exam trap
AWS often tests the distinction between errors that occur during model creation (e.g., invalid S3 URI, missing file) versus errors that occur at invocation time (ModelError), leading candidates to incorrectly choose Option C when the actual cause is a permissions issue that prevents the model from being loaded.
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 access the S3 bucket.
The most likely cause of a ModelError when invoking a SageMaker endpoint is that the IAM role associated with the endpoint does not have the necessary permissions to access the S3 bucket containing the model artifacts. SageMaker downloads the model data from S3 during endpoint creation, and if the role lacks s3:GetObject permission on the bucket, the model fails to load, resulting in a ModelError.
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 instance type is not available in the region.
Why it's wrong here
Instance unavailability would cause an insufficient capacity error.
- ✓
The IAM role does not have permission to access the S3 bucket.
Why this is correct
Without s3:GetObject, the endpoint cannot load the model artifact.
- ✗
The model data URL points to a non-existent file.
Why it's wrong here
Missing file would cause a file not found error, not ModelError.
- ✗
The ECR image URI is incorrect for the region.
Why it's wrong here
An incorrect image URI typically results in an image not found error, not ModelError.
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 MLA-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 MLA-C01 exam.