AI0-001 AI Infrastructure and Technologies Practice Question
A company uses Azure OpenAI to generate customer support responses. The team notices that repeated queries with similar context incur high costs due to token usage. They want to reduce costs without affecting response quality. Which strategy is 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
✓
Implement prompt caching
Prompt caching stores and reuses tokens from previous queries, reducing token consumption for similar requests and lowering costs without quality loss.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use a larger model to improve efficiency
Why it's wrong here
Larger models cost more per token, increasing costs.
- ✗
Increase the frequency penalty
Why it's wrong here
Frequency penalty changes output diversity but does not reduce token usage.
- ✗
Reduce the max_tokens parameter
Why it's wrong here
Lowering max_tokens may truncate responses, affecting quality.
- ✓
Implement prompt caching
Why this is correct
Prompt caching avoids recomputing common prefixes, reducing token usage.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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