AI0-001 AI Infrastructure and Technologies Practice Question
A company uses Azure OpenAI to generate marketing copy. They need to manage costs and ensure consistent response quality. Which TWO actions should they take?
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 prompt caching to avoid reprocessing identical inputs
Implementing rate limits prevents exceeding token budgets; prompt caching reduces repeated API calls. Fine-tuning is expensive; increasing max tokens may increase costs; using a less capable model may harm quality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fine-tune the model on previous marketing copy
Why it's wrong here
Fine-tuning is costly and may not directly control costs or quality consistency.
- ✓
Use prompt caching to avoid reprocessing identical inputs
Why this is correct
Caching reduces token usage and latency for repeated prompts.
- ✗
Switch to a cheaper, less capable model
Why it's wrong here
A cheaper model may degrade quality, contradicting consistency goals.
- ✓
Implement rate limiting and token-based throttling
Why this is correct
Rate limiting prevents unexpected cost spikes by controlling request volume.
- ✗
Increase max tokens per response to ensure completeness
Why it's wrong here
Increasing max tokens raises cost per request without guaranteeing consistency.
About these practice questions
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI0-001 practice question is part of Courseiva's free CompTIA 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 AI0-001 exam.