mediumMultiple SelectObjective-mapped
MLA-C01 Practice Question: An ML team is running multiple SageMaker…
An ML team is running multiple SageMaker endpoints for various models. The monthly cost is higher than expected. Which TWO actions would help reduce costs without negatively impacting performance?
⚠ Common exam trap
Test-takers frequently confuse cost reduction with availability or scaling strategies, incorrectly assuming that reducing instance count or limiting concurrency is always beneficial, without considering the impact on performance or the specific capabilities of SageMaker Multi-Model Endpoints.
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
✓
Consolidate multiple small models into a single Multi-Model Endpoint on a larger instance.
SageMaker Multi-Model Endpoints allow you to host multiple small models on a single endpoint behind a common serving container, sharing the underlying instance resources. This reduces the number of endpoints and instances needed, lowering costs without degrading performance, as models are loaded and unloaded dynamically based on traffic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Consolidate multiple small models into a single Multi-Model Endpoint on a larger instance.
Why this is correct
Multi-Model Endpoints reduce cost by sharing an instance among multiple models.
- ✗
Increase the number of minimum instances to handle traffic spikes without scaling.
Why it's wrong here
Increasing min instances raises base cost and may be wasteful.
- ✓
Right-size the instances by analyzing CloudWatch metrics and reducing instance size for underutilized endpoints.
Why this is correct
Right-sizing reduces instance cost without impacting performance if instances are over-provisioned.
- ✗
Limit the maximum number of concurrent invocations per endpoint.
Why it's wrong here
Limiting concurrency may cause throttling and degrade user experience.
- ✗
Use a scheduled scaling to turn off endpoints during non-business hours.
Why it's wrong here
Turning off endpoints causes unavailability; real-time endpoints need to be always up or have minimal downtime.
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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.