MLS-C01 Practice Question: Machine Learning Implementation and Operations
Network Topology
A SageMaker training job fails with the failure reason shown in the exhibit. What is the most likely cause?
⚠ Common exam trap
The MLS-C01 exam often tests the distinction between infrastructure failures (S3 access, memory, limits) and application-level failures (script errors), and the trap here is that candidates assume any training failure is due to resource limits or data access, ignoring the explicit error message from the script.
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
✓
There is an error in the custom training script
The failure reason in the exhibit (not shown here but implied by the question) typically indicates a runtime error such as a Python exception, missing module, or syntax error in the custom training script. SageMaker logs the exact error from the container, and when the script itself fails, the training job terminates with a 'ClientError' or 'AlgorithmError' referencing the script, not infrastructure issues.
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 training instance ran out of memory
Why it's wrong here
OutOfMemory would have a different error message.
- ✗
The S3 bucket with training data is not accessible
Why it's wrong here
S3 access errors show AccessDenied, not ExitCode.
- ✗
The SageMaker service limit for the instance type has been exceeded
Why it's wrong here
Limit exceeded gives ResourceLimitExceeded error.
- ✓
There is an error in the custom training script
Why this is correct
ExecuteUserScriptError with ExitCode 1 indicates script error.
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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.