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Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Question # 32 Topic 4 Discussion

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Microsoft Designing and Implementing a Data Science Solution on Azure DP-100 Question # 32 Topic 4 Discussion

DP-100 Exam Topic 4 Question 32 Discussion:
Question #: 32
Topic #: 4

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?
A.

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

B.

Register the model with appropriate tags and properties.

C.

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

D.

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

E.

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

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Actual exam question for Microsoft DP-100 exam by Knox10158 at Aug 3, 2025, 10:06:43 AM

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