MLS-C01 Modeling Practice Question
A data scientist is using Amazon SageMaker to train a model. The training job fails with an error 'Insufficient instance capacity'. Which action should the scientist take to resolve this?
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
✓
Retry with a different instance type or Availability Zone
Retrying with a different instance type or in a different Availability Zone often resolves capacity issues. Option A is incorrect because the error is about capacity, not IAM permissions. Option C is incorrect because increasing the number of instances may exacerbate the capacity issue. Option D is incorrect because reducing the training data size does not affect instance capacity.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Check IAM permissions
Why it's wrong here
Not a capacity error.
- ✓
Retry with a different instance type or Availability Zone
Why this is correct
Different instances/AZs may have available capacity.
- ✗
Increase the number of instances
Why it's wrong here
May not help if capacity is limited.
- ✗
Reduce the training data size
Why it's wrong here
Does not affect instance availability.
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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.