Microsoft DP-100 Practice Test - Questions Answers, Page 35

HOTSPOT

You load data from a notebook in an Azure Machine Learning workspace into a pandas dataframe named df. The data contains 10.000 patient records. Each record includes the Age property for the corresponding patient.

You must identify the mean age value from the differentially private data generated by SmartNoise SDK.

You need to complete the Python code that will generate the mean age value from the differentially private data.

Which code segments should you use? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

HOTSPOT

You create an Azure Machine Learning workspace. You use the Azure Machine Learning Python SDK v2 to create a compute cluster.

The compute cluster must run a training script. Costs associated with running the training script must be minimized.

You need to complete the Python script to create the compute cluster.

How should you complete the script? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.

After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.

You train and register an Azure Machine Learning model.

You plan to deploy the model to an online endpoint.

You need to ensure that applications will be able to use the authentication method with a non-expiring artifact to access the model.

Solution:

Create a managed online endpoint and set the value of its auto_mode parameter to key. Deploy the model to the inline endpoint.

Does the solution meet the goal?

HOTSPOT

You create a new Azure Machine Learning workspace with a compute cluster.

You need to create the compute cluster asynchronously by using the Azure Machine Learning Python SDK v2.

How should you complete the code segment? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point

DRAG DROP

You are designing an Azure Machine Leaning solution by using the Python SDK v2.

You must train and deploy the solution by using a compute target. The compute target must meet the following requirements:

* Enable the use of on-premises compute resources.

* Support autoscalling.

You need to configure a compute target for training and inference.

Which compute target t should you configure?

To answer select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

DRAG DROP

You manage an Azure Machine Learning workspace named workspace1by using the Python SDK v2.

You must register datastores in workspace 1 for Azure Blot storage and Azure Fetes storage to meet the following requirements.

* Azure Active Directory (Azure AD) authentication must be used for access to storage when possible.

* Credentials and secrets steed in workspace1 must be valid lot a specified time period when accessing Azure Files storage.

You need to configure a security access method used to register the Azure Blob and azure files storage in workspace1.

Which security access method should you configure? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

You manage an Azure Machine learning workspace. The workspace includes an Azure Machine Learning kubernetes compute target configured as an Azure Kubemetes Service (AKS) cluster named AKS1 AKS1 is configured to enable the targeting of different nodes to train workloads.

You must run a command job on AK51 by using the Azure ML Python SDK v2? The command job must select different types of compute nodes. The compare node types must be specified by using a command parameter.

You need to configure the command parameter.

Which parameter should you use?

You manage an Azure Machine learning workspace named workspace1.

You must develop Python SDK v2 code to add a compute instance to workspace1. The code must import all required modules and call the constructor of the Compute instance class.

You need to add the instantiated compute instance to workspace 1.

What should you use?

HOTSPOT

You manage an Azure Machine Learning won pace named workspace 1 by using the Python SDK v2. You create a Gene-al Purpose v2 Azure storage account named mlstorage1. The storage account includes a pulley accessible container name micOTtalnerl. The container stores 10 blobs with files in the CSV format.

You must develop Python SDK v2 code to create a data asset referencing all blobs in the container named mtcontamer1.

You need to complete the Python SDK v2 code.

How should you complete the code? To answer select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.