Databricks Certified Generative AI Engineer Associate · Free Practice Question Medium
Question 9
A Generative AI Engineer is creating a pre- and post-processing pipeline for a PyFunc model. Why is this approach useful?
- A It automates hyperparameter tuning for the model.
- B It reduces the need for retraining the model.
- C It minimizes API costs by batching inputs.
- D It allows data to be transformed before and after model inference, ensuring compatibility and optimized outputs.
Reveal correct answer
Correct answer: D
Explanation
Pre- and post-processing pipelines streamline workflows by transforming inputs and outputs, improving compatibility and system efficiency.A. Incorrect: Hyperparameter tuning requires separate optimization processes.
B. Incorrect: Pre- and post-processing pipelines do not replace retraining for model improvements.
C. Incorrect: API cost optimization is unrelated to pre- and post-processing logic.
D. Correct: Pre- and post-processing pipelines handle input normalization and output formatting, enhancing system performance.
Discussion
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