hardMultiple ChoiceObjective-mapped
AIF-C01 Practice Question: Deploying a real-time chatbot using Amazon…
A company is deploying a real-time chatbot using Amazon Bedrock and expects high traffic during business hours. They want to minimise inference costs while maintaining low latency. Which combination of strategies would be MOST effective?
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
✓
Enable model caching and use a smaller, faster foundation model
Model caching can serve repeated queries quickly without re-invocation, and batch inference is cost-effective for non-real-time workloads but not for real-time. Right-sizing means choosing a model that balances cost and performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Increase the context length to handle more conversations per prompt
Why it's wrong here
Longer context increases token usage and cost, opposite of the goal.
- ✓
Enable model caching and use a smaller, faster foundation model
Why this is correct
Caching reduces redundant compute, and a smaller model reduces per-request cost while meeting latency needs.
- ✗
Use batch inference for all requests and provision a large model
Why it's wrong here
Batch inference is not suitable for real-time; large models increase cost and latency.
- ✗
Disable content filtering to reduce processing time
Why it's wrong here
Disabling safety features is not recommended and may not significantly cut cost.
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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.