MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning team is using SageMaker Pipelines to orchestrate a multi-step workflow. The pipeline fails with a 'ThrottlingException' when submitting a training job. Which TWO actions can reduce the likelihood of throttling?
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
✓
Implement retry logic with exponential backoff in the pipeline
ThrottlingException occurs when the API request rate exceeds service limits. Implementing retry logic with exponential backoff (option B) helps handle transient throttling by automatically retrying requests with increasing delays. Reducing the number of concurrent pipeline steps (option D) decreases the rate of API calls, reducing the likelihood of hitting rate limits. Option A (Model Registry) is unrelated to throttling. Option C (increasing parallel training jobs) would increase concurrent API calls, worsening throttling. Option E (requesting a quota increase) raises the limit but does not reduce the immediate likelihood of throttling; it is a longer-term mitigation, not a direct action to reduce throttling in the current pipeline.
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 SageMaker Model Registry to version models
Why it's wrong here
Model Registry does not affect API rate limits.
- ✓
Implement retry logic with exponential backoff in the pipeline
Why this is correct
Exponential backoff reduces request rate after throttling.
- ✗
Increase the number of parallel training jobs
Why it's wrong here
More parallel jobs increase API calls, worsening throttling.
- ✓
Reduce the number of concurrent pipeline steps
Why this is correct
Fewer concurrent steps reduce API call frequency.
- ✗
Request a service quota increase for training jobs
Why it's wrong here
Quota increase affects resource limits, not API rate limits.
Go deeper
Related to this question
About these practice questions
This MLS-C01 question is part of Courseiva's 1,672-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.