DP-100 Free Practice Questions — Page 13

Question 129

HOTSPOT - You manage an Azure Machine Learning workspace named workspace1 by using the Python SDK v2. You must register datastores in workspace1 for Azure Blob and Azure Data Lake Gen2 storage to meet the following requirements: • Data scientists accessing the datastore must have the same level of access. • Access must be restricted to specified containers or folders. You need to configure a security access method used to register the Azure Blob and Azure Data Lake Gen2 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.

Question 130

HOTSPOT - You are creating data wrangling and model training solutions in an Azure Machine Learning workspace. You must use the same Python notebook to perform both data wrangling and model training. You need to use the Azure Machine Learning Python SDK v2 to define and configure the Synapse Spark pool asynchronously in the workspace as dedicated compute. 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.

Question 131

DRAG DROP - You manage an Azure Machine Learning workspace named workspace1 with a compute instance named compute1. You connect to compute1 by using a terminal window from workspace1. You create a file named "requirements.txt” containing Python dependencies to include Jupyter. You need to add a new Jupyter kernel to compute1. Which four commands should you use? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.

Question 132

You create a workspace to include a compute instance by using Azure Machine Learning Studio. You are developing a Python SDK v2 notebook in the workspace. You need to use Intellisense in the notebook. What should you do?

Question 133

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.

Question 134

HOTSPOT - You manage an Azure Machine Learning workspace. You must define the execution environments for your jobs and encapsulate the dependencies for your code. You need to configure the environment from a Docker build context. How should you complete the code segment? To answer, select the appropriate option in the answer area. NOTE: Each correct selection is worth one point.

Question 135

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 ComputeInstance class. You need to add the instantiated compute instance to workspace1. What should you use?

Question 136

DRAG DROP - 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.

Question 137

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?

Question 138

HOTSPOT - 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.