AIF-C01 Applications of Foundation Models Practice Question
Which TWO actions are best practices when deploying foundation models on Amazon SageMaker for production? (Choose TWO.)
⚠ Common exam trap
AWS often tests the misconception that manual endpoint warm-up is necessary for production traffic spikes, but SageMaker's auto-scaling and built-in health checks handle this automatically, making option A a common distractor.
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
✓
Use multi-model endpoints (MMEs) to serve multiple models on a single instance.
Amazon SageMaker Multi-Model Endpoints (MMEs) allow you to host multiple models on a single instance, which reduces hosting costs by sharing resources across models while still providing low-latency inference. This is a best practice for production deployments where you need to serve many models efficiently without provisioning separate endpoints for each.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Manually warm up endpoints by sending dummy requests before traffic spikes.
Why it's wrong here
Auto-scaling with a target tracking policy is more reliable than manual warm-up.
- ✗
Create a separate endpoint for each model to isolate traffic.
Why it's wrong here
Separate endpoints increase cost and operational overhead without clear benefit for most cases.
- ✓
Use multi-model endpoints (MMEs) to serve multiple models on a single instance.
Why this is correct
MMEs optimize resource utilization and reduce costs for multiple models.
- ✓
Implement inference pipelines to handle preprocessing and postprocessing steps separately.
Why this is correct
Pipelines improve modularity and allow independent scaling of components.
- ✗
Deploy models directly to production without load testing to avoid delays.
Why it's wrong here
Load testing is critical to ensure performance and reliability before production.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AIF-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 AIF-C01 exam.