MLS-C01 Modeling Practice Question
A company is using a custom Docker container in SageMaker for training. The training job fails with 'ResourceLimitExceeded' error. Which action should the data scientist take?
⚠ Common exam trap
AWS often tests the misconception that 'ResourceLimitExceeded' is a performance or memory error, leading candidates to choose instance downsizing or epoch reduction, when in fact it is a strict AWS account quota that must be raised through a formal request.
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
✓
Request a limit increase for the instance type
The 'ResourceLimitExceeded' error in SageMaker indicates that the AWS account has reached a service quota for the specified instance type (e.g., ml.p3.2xlarge). This is a quota limit, not a performance or resource exhaustion issue within the training job itself. The correct action is to request a limit increase via the AWS Service Quotas console or AWS Support, which raises the maximum number of concurrent instances or total vCPUs allowed for that instance family.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a smaller instance type
Why it's wrong here
May still hit limit.
- ✗
Reduce the number of epochs
Why it's wrong here
May not resolve limit issue.
- ✓
Request a limit increase for the instance type
Why this is correct
Directly addresses the error.
- ✗
Use a pre-built SageMaker container instead
Why it's wrong here
Unrelated to resource limits.
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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.