Free DP-100 Exam Braindumps
Designing and Implementing a Data Science Solution on Azure Questions 136–140 (page: 29)

HOTSPOT (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace by using the Python SDK v2.
You must create an automated machine learning job to generate a classification model by using data files stored in Parquet format.
You must configure an autoscaling compute target and a data asset for the job.
You need to configure the resources for the job.
Which resource configuration should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

HOTSPOT (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace named workspace1 with a compute instance named compute1.
You must remove a kernel named kernel1 from compute1. You connect to compute1 by using a terminal window from workspace1.
You need to enter a command in the terminal window to remove kernel.
Which command should you use? 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 Kubernetes 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 AKS1 by using the Azure ML Python SDK v2. The command job must select different types of compute nodes. The compute node types must be specified by using a command parameter.
You need to configure the command parameter.
Which parameter should you use?

HOTSPOT (Drag and Drop is not supported)

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 (Drag and Drop is not supported)

You manage an Azure Machine Learning workspace named workspace1 by using the Python SDK v2.
You must register datastores in workspace1 for Azure Blob storage and Azure Files storage to meet the following requirements:
• Azure Active Directory (Azure AD) authentication must be used for access to storage when possible.
• Credentials and secrets stored in workspace1 must be valid for 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.