Databricks Certified Generative AI Engineer Associate · Free Practice Question Medium
Question 25
An AI model generates recommendations for customer queries but frequently suggests irrelevant products. What adjustment should an engineer prioritize?
- A Reduce response length to avoid irrelevant recommendations.
- B Increase the model’s temperature during inference.
- C Add more parameters to the model.
- D Improve embeddings to better capture query-product semantic similarity.
Reveal correct answer
Correct answer: D
Explanation
High-quality embeddings improve the semantic alignment between queries and products, addressing issues of irrelevance in recommendations.A. Incorrect: Shorter responses do not guarantee improved relevance.
B. Incorrect: Increasing temperature adds randomness, which may worsen relevance.
C. Incorrect: Adding parameters does not directly improve query-product alignment.
D. Correct: Improving embeddings ensures better alignment between customer queries and product suggestions.
Discussion
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