Exam DP-100 topic 4 question 47 discussion

Actual exam question from Microsoft's DP-100

Question #: 47
Topic #: 4

You create an MLflow model.

You must deploy the model to Azure Machine Learning for batch inference.

You need to create the batch deployment.

Which two components should you use? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. Environment
B. Model files
C. Online endpoint
D. Kubernetes online endpoint
E. Compute target

Show Suggested Answer

Suggested Answer: BE 🗳️

by Tommo565 at March 28, 2023, 4:33 a.m.

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Tommo565

Highly Voted 1 year, 2 months ago

Selected Answer: BE

Correct (I think) https://learn.microsoft.com/en-us/azure/machine-learning/how-to-mlflow-batch?tabs=cli MLflow models don't require you to indicate an environment or a scoring script when creating the deployments as it is created for you. However, you can specify them if you want to customize how the deployment does inference.

upvoted 6 times

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Fercho5813

Most Recent 7 months, 4 weeks ago

Selected Answer: AE

I think that is AE

upvoted 1 times

vv_bb

6 months, 4 weeks ago

The MLflow model already describes the required environment, so there is no need to define it once again https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-mlflow-models?view=azureml-api-2&tabs=azureml

upvoted 2 times

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