Databricks Certified Generative AI Engineer Associate · Free Practice Question Medium
Question 5
A Generative AI Engineer is tasked with training a chatbot to summarize long technical manuals. Many manuals contain redundant examples that inflate the dataset size. What should the engineer prioritize during preprocessing?
- A Retain all examples for completeness.
- B Remove redundant examples while preserving unique, meaningful content.
- C Replace redundant examples with placeholders.
- D Exclude entire manuals containing redundancy.
Reveal correct answer
Correct answer: B
Explanation
Eliminating redundant examples ensures concise, high-quality input, which improves summarization model training.A. Incorrect: Including redundant examples unnecessarily inflates the dataset without adding value.
B. Correct: Removing redundancy reduces dataset size and ensures the model focuses on unique content, improving summary quality.
C. Incorrect: Replacing content with placeholders does not add clarity and may confuse the model.
D. Incorrect: Excluding entire manuals risks removing valuable content alongside redundancy.
Discussion
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