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Exam Certified Machine Learning Professional All Questions

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Exam Certified Machine Learning Professional topic 1 question 32 discussion

Actual exam question from Databricks's Certified Machine Learning Professional
Question #: 32
Topic #: 1
[All Certified Machine Learning Professional Questions]

A machine learning engineer has deployed a model recommender using MLflow Model Serving. They now want to query the version of that model that is in the Production stage of the MLflow Model Registry.
Which of the following model URIs can be used to query the described model version?

  • A. https://<databricks-instance>/model-serving/recommender/Production/invocations
  • B. The version number of the model version in Production is necessary to complete this task.
  • C. https://<databricks-instance>/model/recommender/stage-production/invocations
  • D. https://<databricks-instance>/model-serving/recommender/stage-production/invocations
  • E. https://<databricks-instance>/model/recommender/Production/invocations
Show Suggested Answer Hide Answer
Suggested Answer: E 🗳️
by BokNinja at Dec. 19, 2023, 2:18 a.m.

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saha3333
4 months ago
Selected Answer: E
The URI should contain "/model/" and not "/model-serving/".
upvoted 2 times
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zafarsohaib
10 months ago
Selected Answer: E
Correct answer is E. Because the URI should contain "/model/" and not "/model-serving/".
upvoted 1 times
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c4b65b5
10 months, 1 week ago
Selected Answer: E
E is correct.
upvoted 1 times
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hugodscarvalho
1 year, 2 months ago
Selected Answer: A
Doc: https://www.databricks.com/blog/2020/06/25/announcing-mlflow-model-serving-on-databricks.html
upvoted 1 times
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BokNinja
1 year, 4 months ago
The correct answer is A. https://<databricks-instance>/model-serving/recommender/Production/invocations. This URI points to the model named “recommender” that is in the “Production” stage of the MLflow Model Registry on the specified Databricks instance. The /invocations endpoint is used to make prediction requests to the model. Please note that <databricks-instance> should be replaced with the URL of your Databricks instance.
upvoted 2 times
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