PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #335
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #335: Real Exam Question with Answer & Explanation
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Question
You need to train an XGBoost model on a small dataset. Your training code requires custom dependencies. You need to set up a Vertex AI custom training job. You want to minimize the startup time of the training job while following Google-recommended practices. What should you do?
Options
- ACreate a custom container that includes the data and the custom dependencies. In your training
- BStore the data in a Cloud Storage bucket, and use the XGBoost prebuilt custom container to run
- CUse the XGBoost prebuilt custom container. Create a Python source distribution that includes the
- DStore the data in a Cloud Storage bucket, and create a custom container with your training
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