MLA-C01 Practice Question: ML Solution Monitoring, Maintenance, and Security
A machine learning engineer wants to reduce costs for a SageMaker real-time endpoint that experiences predictable traffic patterns with low traffic at night and high traffic during business hours. Which approach is most cost-effective while maintaining availability?
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
✓
Configure an auto-scaling policy with target tracking based on the Invocations metric
Target tracking scaling policies automatically adjust instance count based on a metric like invocation count or CPU utilization. Step scaling can also be used but target tracking is simpler and more cost-effective for predictable patterns.
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 single large instance type that can handle peak traffic at all times
Why it's wrong here
Over-provisioning for peak leads to high costs during off-peak hours.
- ✓
Configure an auto-scaling policy with target tracking based on the Invocations metric
Why this is correct
Target tracking scales instances up/down based on demand, reducing costs during low traffic while handling peaks.
- ✗
Set up a scheduled scaling policy that manually adjusts instances at fixed times
Why it's wrong here
Scheduled scaling works for predictable patterns, but target tracking is more adaptive and still cost-effective.
- ✗
Use SageMaker Inference Recommender to find the optimal instance type and then manually set instance count
Why it's wrong here
Inference Recommender helps choose instance type but does not automatically handle scaling based on traffic.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This MLA-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 MLA-C01 exam.