hardMultiple SelectObjective-mapped
AIF-C01 Practice Question: Developing a generative AI application using…
A company is developing a generative AI application using Amazon Bedrock for code generation. They want to reduce costs without sacrificing throughput. Which THREE approaches can help achieve cost optimization?
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
✓
Right-size model selection by choosing the smallest model that meets accuracy requirements
Batch inference processes multiple requests together at a lower cost. Model caching stores previous responses to avoid recomputation. Right-sizing model selection means picking the smallest capable model. Fine-tuning increases cost for custom models, and using larger models increases cost.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Always use the largest available model for best results
Why it's wrong here
Using the largest model increases cost without guaranteed throughput benefit.
- ✓
Right-size model selection by choosing the smallest model that meets accuracy requirements
Why this is correct
Using a smaller, cheaper model for appropriate tasks lowers costs.
- ✓
Use batch inference for non-real-time workloads
Why this is correct
Batch inference reduces per-request cost by processing requests in bulk.
- ✗
Fine-tune a large foundation model on the company's codebase
Why it's wrong here
Fine-tuning incurs additional training and hosting costs, not a cost-saving measure.
- ✓
Enable model caching to reuse previously generated responses for similar inputs
Why this is correct
Caching avoids redundant inference calls, saving cost and latency.
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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.