You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi-class image classification deep learning model that uses a set of labeled bird photographs collected by experts.You have 100,000 photographs of birds. All photographs use the JPG format and are stored in an Azure blob container in an Azure subscription.You need to access the bird photograph files in the Azure blob container from the Azure Machine Learning service workspace that will be used for deep learning model training. You must minimize data movement.What should you do?

Register the Azure blob storage containing the bird photographs as a datastore in Azure Machine Learning service.

Create an Azure Data Lake store and move the bird photographs to the store.

Create an Azure Cosmos DB database and attach the Azure Blob containing bird photographs storage to the database.

Create and register a dataset by using TabularDataset class that references the Azure blob storage containing bird photographs.

Register the Azure blob storage containing the bird photographs as a datastore in Azure Machine Learning service.

Copy the bird photographs to the blob datastore that was created with your Azure Machine Learning service workspace.

You are with a time series dataset in Azure Machine Learning Studio.You need to split your dataset into training and testing subsets by using the Split Data module.Which splitting mode should you use?

Split Rows with the Randomized split parameter set to true

You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows:Minimum nodes: 2Maximum nodes: 4You must decrease the minimum number of nodes and increase the maximum number of nodes to the following values:Minimum nodes: 0Maximum nodes: 8You need to reconfigure the compute resource.What are three possible ways to achieve this goal? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

Azure Machine Learning designer

MLCIient class in Python SDK v2

Azure Machine Learning designer

BuildContext class in Python SDK v2

MLCIient class in Python SDK v2

You create a new Azure subscription. No resources are provisioned in the subscription.You need to create an Azure Machine Learning workspace.What are three possible ways to achieve this goal? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

Navigate to Azure Machine Learning studio and create a workspace.

Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying -w and - gparameters for the workspace name and resource group.

Navigate to Azure Machine Learning studio and create a workspace.

Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.

Navigate to Azure Machine Learning studio and create a workspace.

Use the Azure Command Line Interface (CLI) with the Azure Machine Learning extension to call the az group create function with --name and --location parameters, and then the az ml workspace create function, specifying -w and - gparameters for the workspace name and resource group.

Navigate to Azure Machine Learning studio and create a workspace.

Run Python code that uses the Azure ML SDK library and calls the Workspace.get method with name, subscription_id, and resource_group parameters.

You are analyzing a dataset containing historical data from a local taxi company. You are developing a regression model.You must predict the fare of a taxi trip.You need to select performance metrics to correctly evaluate the regression model.Which two metrics can you use? Each correct answer presents a complete solution?NOTE: Each correct selection is worth one point.

a Root Mean Square Error value that is low

a Root Mean Square Error value that is high

You use the following code to run a script as an experiment in Azure Machine Learning: You must identify the output files that are generated by the experiment run.You need to add code to retrieve the output file names.Which code segment should you add to the script?

files = run.get_details_with_logs()

You create a batch inference pipeline by using the Azure ML SDK. You configure the pipeline parameters by executing the following code: You need to obtain the output from the pipeline execution.Where will you find the output?

a file named parallel_run_step.txt located in the output folder

the digit_identification.py script

the Activity Log in the Azure portal for the Machine Learning workspace

the Inference Clusters tab in Machine Learning studio

a file named parallel_run_step.txt located in the output folder

Microsoft DP-100 Practice Test 3 - Free Online Exam Questions 81-120

Question 1 / 40

You use Azure Machine Learning Studio to build a machine learning experiment.

You need to divide data into two distinct datasets.

Which module should you use?

Split Data

Load Trained Model

Assign Data to Clusters

Group Data into Bins

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