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Exam Certified Machine Learning Professional topic 1 question 26 discussion

Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 26
Topic #: 1
[All Certified Machine Learning Professional Questions]

A machine learning engineer wants to deploy a model for real-time serving using MLflow Model Serving. For the model, the machine learning engineer currently has one model version in each of the stages in the MLflow Model Registry. The engineer wants to know which model versions can be queried once Model Serving is enabled for the model.
Which of the following lists all of the MLflow Model Registry stages whose model versions are automatically deployed with Model Serving?

  • A. Staging, Production, Archived
  • B. Production
  • C. None, Staging, Production, Archived
  • D. Staging, Production
  • E. None, Staging, Production
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Suggested Answer: D 🗳️
by BokNinja at Dec. 19, 2023, 2:29 a.m.

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shashankraj
2 months, 1 week ago
Selected Answer: E
When you enable MLflow Model Serving for a model in the MLflow Model Registry, it will automatically serve only the model versions that are in the Staging or Production stages. The None stage is also included, as it represents the default stage for a newly added model version. Other stages, such as Archived, are not included in the deployment process.
upvoted 1 times
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james_donquixote
8 months, 3 weeks ago
Selected Answer: D
https://www.databricks.com/blog/2020/06/25/announcing-mlflow-model-serving-on-databricks.html
upvoted 1 times
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len
8 months, 3 weeks ago
Selected Answer: A
A is correct. Over the course of the model’s lifecycle, a model evolves—from development to staging to production. You can transition a registered model to one of the stages: Staging, Production or Archived. https://mlflow.org/docs/latest/model-registry.html#deprecated-using-model-stages
upvoted 1 times
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Alishahab70
1 year ago
Selected Answer: D
D. Staging, Production Model versions in the Staging and Production stages are automatically deployed with Model Serving. When Model Serving is enabled for a model, the latest version in the Staging stage is deployed for testing, and the latest version in the Production stage is deployed for serving predictions in production environments.
upvoted 1 times
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spaceexplorer
1 year ago
Selected Answer: E
E is correct
upvoted 2 times
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ldoyle3332
1 year ago
Selected Answer: D
Correct answer is D. See https://www.databricks.com/blog/2020/06/25/announcing-mlflow-model-serving-on-databricks.html "Note the URL for each model: you can query either by the version number (1 or 2) or by the stage (Production or Staging)"
upvoted 2 times
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trendy01
1 year, 1 month ago
Selected Answer: C
C. None, Staging, Production, Archived
upvoted 2 times
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BokNinja
1 year, 1 month ago
C. Correct
upvoted 1 times
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