AIF-C01 Applications of Foundation Models Practice Question
A startup is deploying a foundation model on Amazon SageMaker for real-time inference. They notice high latency (over 2 seconds per request). Which action is most likely to reduce latency?
⚠ Common exam trap
AWS often tests the distinction between latency (time per single request) and throughput (requests per second), so candidates mistakenly choose auto-scaling or batch size increases, which improve throughput but not per-request latency.
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
✓
Switch to a smaller, distilled version of the model.
Using a smaller, distilled version of the model directly reduces the computational complexity per inference request. Distillation compresses the model by training a smaller student network to mimic a larger teacher model, resulting in fewer parameters and faster forward passes. This is the most direct way to cut latency when the model size is the bottleneck, as it reduces the number of floating-point operations (FLOPs) required per request.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Enable auto-scaling on the SageMaker endpoint to handle more concurrent requests.
Why it's wrong here
Auto-scaling increases capacity but does not reduce per-request latency; it may even add overhead.
- ✓
Switch to a smaller, distilled version of the model.
Why this is correct
Smaller models have fewer parameters, reducing computation time and latency.
- ✗
Deploy the model on a CPU-based instance instead of GPU.
Why it's wrong here
GPUs are typically faster than CPUs for model inference; switching to CPU would increase latency.
- ✗
Increase the batch size parameter in the inference request.
Why it's wrong here
Larger batch sizes increase the time to generate responses, worsening latency.
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JA
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.