NCA-AIIO Exam Dumps | In an MLOps pipeline, you are responsible for managing the training and deployment of machine learning

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Question 48/89

In an MLOps pipeline, you are responsible for managing the training and deployment of machine learning models on a multi-node GPU cluster. The data used for training is updated frequently. How should you design your job scheduling process to ensure models are trained on the most recent data without causing unnecessary delays in deployment?

A. Schedule the entire pipeline to run at fixed intervals, regardless of data updates.

B. Train models only once per week and deploy them immediately after training.

C. Implement an event-driven scheduling system that triggers the pipeline whenever new data is available.

D. Use a round-robin scheduling policy across all pipeline stages, regardless of data freshness.

Question 48/89

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