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Q: 11
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 have a Python script named train.py in a local folder named scripts. The script trains a regression model by using scikit-learn. The script includes code to load a training data file which is also located in the scripts folder. You must run the script as an Azure ML experiment on a compute cluster named aml-compute. You need to configure the run to ensure that the environment includes the required packages for model training. You have instantiated a variable named aml-compute that references the target compute cluster. Solution: Run the following code: Microsoft DP 100 question Does the solution meet the goal?
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Q: 12
You create an Azure Machine Learning workspace named workspaces. You create a Python SDK v2 notebook to perform custom model training in workspace1. You need to run the notebook from Azure Machine Learning Studio in workspace1. What should you provision first?
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Q: 13
DRAG DROP You build and manage a model by using Azure Machine Learning workspace. Before you deploy the model, you must create a Responsible Al dashboard in Azure Machine Learning studio. The dashboard must provide observation of the following: • metrics that show real-world impact on an outcome of interest due to taking a treatment policy • examples with minimal changes to a particular data point such that the model's prediction changes You need to implement the components for the Responsible Al dashboard. Which components should you implement? To answer, move the appropriate components to the correct observations. You may use each component once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Microsoft DP 100 question
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Q: 14
DRAG DROP You create an Azure Machine Learning workspace. You must implement dedicated compute for model training in the workspace by using Azure Synapse compute resources. The solution must attach the dedicated compute and start an Azure Synapse session. You need to implement the compute resources. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Microsoft DP 100 question
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Q: 15
DRAG DROP You tram and register a model by using the Azure Machine Learning Python SDK v2 in a local workstation. Python 3.7 and Visual Studio Code are instated on the workstation. When you try to deploy the model into production to a Kubernetes online endpoint you experience an error in the scoring script that causes deployment to fail. You need to debug the service on the local workstation before deploying the service to production. Which three actions should you perform m sequence? To answer, move the appropriate actions from the list of actions from the answer area and arrange them in the correct order. Microsoft DP 100 question
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Q: 16
DRAG DROP You use a training pipeline in the Azure Machine Learning designer. You register a datastore named ds1. The datastore contains multiple training data files. You use the Import Data module with the configured datastore. You need to retrain a model on a different set of data files. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Microsoft DP 100 question
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Q: 17
DRAG DROP You create an Azure Machine Learning workspace and a new Azure DevOps organization. You register a model in the workspace and deploy the model to the target environment. All new versions of the model registered in the workspace must automatically be deployed to the target environment. You need to configure Azure Pipelines to deploy the model. Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Microsoft DP 100 question
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Q: 18
DRAG DROP You need to define an evaluation strategy for the crowd sentiment models. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Microsoft DP 100 question
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Q: 19
DRAG DROP You are producing a multiple linear regression model in Azure Machine Learning Studio. Several independent variables are highly correlated. You need to select appropriate methods for conducting effective feature engineering on all the data. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Microsoft DP 100 question
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Q: 20
DRAG DROP You have several machine learning models registered in an Azure Machine Learning workspace. You must use the Fairlearn dashboard to assess fairness in a selected model. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Microsoft DP 100 question
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Question 11 of 20 · Page 2 / 2

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