Microsoft Exam DP-100 Topic 2 Question 22 Discussion

Actual exam question for Microsoft's DP-100 exam

Question #: 22
Topic #: 2

You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning service to train a model that identifies fraudulent transactions.

You must deploy the model as an Azure Machine Learning real-time web service using the Model.deploy method in the Azure Machine Learning SDK. The deployed web service must return real-time predictions of fraud based on transaction data input.

You need to create the script that is specified as the entry_script parameter for the InferenceConfig class used to deploy the model.

What should the entry script do?

AStart a node on the inference cluster where the web service is deployed.

BRegister the model with appropriate tags and properties.

CCreate a Conda environment for the web service compute and install the necessary Python packages.

DLoad the model and use it to predict labels from input data.

ESpecify the number of cores and the amount of memory required for the inference compute.

Show Suggested Answer

Suggested Answer: D

The entry script receives data submitted to a deployed web service and passes it to the model. It then takes the response returned by the model and returns that to the client. The script is specific to your model. It must understand the data that the model expects and returns.

The two things you need to accomplish in your entry script are:

Loading your model (using a function called init())

Running your model on input data (using a function called run())

https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-and-where

by Carin at May 04, 2022, 12:56 PM

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