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Exam Certified Generative AI Engineer Associate All Questions

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Exam Certified Generative AI Engineer Associate topic 1 question 36 discussion

Actual exam question from Databricks's Certified Generative AI Engineer Associate
Question #: 36
Topic #: 1
[All Certified Generative AI Engineer Associate Questions]

A Generative Al Engineer has already trained an LLM on Databricks and it is now ready to be deployed.
Which of the following steps correctly outlines the easiest process for deploying a model on Databricks?

  • A. Log the model as a pickle object, upload the object to Unity Catalog Volume, register it to Unity Catalog using MLflow, and start a serving endpoint
  • B. Log the model using MLflow during training, directly register the model to Unity Catalog using the MLflow API, and start a serving endpoint
  • C. Save the model along with its dependencies in a local directory, build the Docker image, and run the Docker container
  • D. Wrap the LLM’s prediction function into a Flask application and serve using Gunicorn
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Suggested Answer: B 🗳️
by trendy01 at Oct. 26, 2024, 6:17 a.m.

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trendy01
4 weeks, 1 day ago
Selected Answer: B
B appears to be the most appropriate choice. Recording and registering your model using MLflow is the most efficient and simple way to deploy your model in Databricks.
upvoted 1 times
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