MLS-C01 Practice Question: Machine Learning Implementation and Operations
A company is using Amazon SageMaker to deploy a model for real-time inference. The endpoint receives variable traffic and the company wants to optimize cost while maintaining responsiveness. Which scaling policy should be used?
⚠ Common exam trap
Watch out — candidates often confuse 'simple scaling' with 'dynamic scaling' and assume a cooldown period alone can handle variable traffic, but simple scaling lacks the continuous metric tracking and automatic adjustment that target tracking provides.
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
✓
Target tracking scaling based on invocation count
Target tracking scaling based on invocation count is the correct choice because it automatically adjusts the number of instances in real-time based on a predefined metric (e.g., InvocationsPerInstance), maintaining responsiveness during variable traffic while optimizing cost by scaling down during low demand. This policy uses a target value (e.g., 1000 invocations per instance) and SageMaker Application Auto Scaling continuously monitors CloudWatch metrics to add or remove instances as needed, eliminating manual intervention.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Target tracking scaling based on invocation count
Why this is correct
Automatically adjusts to traffic.
- ✗
Simple scaling with a cooldown period
Why it's wrong here
Less responsive to rapid changes.
- ✗
Scheduled scaling
Why it's wrong here
For predictable patterns.
- ✗
Manual scaling
Why it's wrong here
Requires manual intervention.
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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.