Question 406 of 1,672
MLS-C01 Practice Question: Machine Learning Implementation and Operations
A machine learning engineer is deploying a model using SageMaker and wants to use automatic scaling for the endpoint based on the number of concurrent requests. The engineer has defined a scaling policy using the SageMakerVariantInvocationsPerInstance metric. However, the scaling is not triggering as expected. What could be the issue?
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 scaling policy does not have a cooldown period configured, or the cooldown period is too long.
A missing or excessively long cooldown period can prevent the scaling policy from triggering. Cooldown periods (default 300 seconds) allow metrics to stabilize before initiating another scaling activity. Option A is incorrect because scheduled scaling actions are separate from dynamic scaling policies and are not required. Option C is incorrect because the SageMakerVariantInvocationsPerInstance metric is automatically published to CloudWatch. Option D is incorrect because this metric is specifically designed for automatic scaling.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A scheduled scaling action must be created first.
Why it's wrong here
Not required for target tracking.
- ✓
The scaling policy does not have a cooldown period configured, or the cooldown period is too long.
Why this is correct
Cooldown prevents scaling actions from triggering too frequently.
- ✗
The metric must be published to CloudWatch manually.
Why it's wrong here
It is emitted automatically.
- ✗
The metric is not available for automatic scaling.
Why it's wrong here
SageMakerVariantInvocationsPerInstance is valid.
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Last reviewed: Jun 20, 2026
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.
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