hardMultiple Select
Generative AI Leader Practice Question: A manufacturing company wants to use GenAI to…
A manufacturing company wants to use GenAI to generate maintenance reports from sensor data. They need structured output (JSON) for downstream systems, and they want to reduce token costs. Which THREE strategies should they use?
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 batch API requests for multiple sensor readings
Structured output ensures JSON format; batch requests reduce cost; the smallest suitable model minimizes token usage. Few-shot adds tokens; caching may not help for diverse sensor data.
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 batch API requests for multiple sensor readings
Why this is correct
Batch requests reduce per-token cost.
- ✗
Use the largest available model to ensure accuracy
Why it's wrong here
Larger models cost more; choose the smallest model that meets accuracy needs.
- ✓
Use structured output formatting in the prompt (e.g., 'Return JSON')
Why this is correct
Explicitly requesting JSON improves reliability.
- ✓
Choose the smallest model that meets accuracy requirements
Why this is correct
Smaller models have lower cost per token.
- ✗
Include multiple few-shot examples of JSON in every prompt
Why it's wrong here
Few-shot examples increase token count and cost.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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