hardMultiple Select
Generative AI Leader Practice Question: Deploying a GenAI system that generates product…
A company is deploying a GenAI system that generates product descriptions. During A/B testing, the new system shows a 20% increase in click-through rate (CTR) but a 15% increase in average cost per query due to the model size. The team wants to optimize cost without sacrificing the CTR gain. Which THREE actions should they take? (Choose three.)
⚠ Common exam trap
Google often tests the misconception that adding more few-shot examples always improves output quality, but in reality, it increases token costs and can degrade performance due to context window limits or irrelevant examples.
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
✓
Batch similar requests to reduce per-request overhead
Batching similar requests reduces the per-request overhead by combining multiple inference calls into a single batch, which amortizes the fixed costs (e.g., model loading, token processing) across more outputs. This directly lowers the average cost per query while preserving the model architecture and CTR gains, as the model's output quality remains unchanged.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Batch similar requests to reduce per-request overhead
Why this is correct
Batching reduces the number of API calls and can lower cost.
- ✗
Use a larger model with higher accuracy to further increase CTR
Why it's wrong here
A larger model would increase cost further, opposite of the goal.
- ✗
Increase the number of few-shot examples in the prompt
Why it's wrong here
More examples increase token usage and cost without necessarily improving CTR.
- ✓
Switch to a smaller model and re-A/B test to confirm CTR impact
Why this is correct
A smaller model may still achieve the same CTR at lower cost; testing is needed.
- ✓
Implement response caching for repeated product SKUs
Why this is correct
Caching avoids regenerating descriptions for the same SKU, reducing cost.
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