DP-100 Exam Dumps – Our Features

You use Azure Machine Learning studio to analyze an mltable data asset containing a decimal column named column1. You need to verify that the column1 values are normally distributed.Which statistic should you use?

• Max
• Type
• Profile
• Mean

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 are analyzing a numerical dataset which contain missing values in several columns.You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.You need to analyze a full dataset to include all values.Solution: Use the last Observation Carried Forward (IOCF) method to impute the missing data points.Does the solution meet the goal?

• Yes
• No

You are a data scientist building a deep convolutional neural network (CNN) for image classification.The CNN model you built shows signs of overfitting.You need to reduce overfitting and converge the model to an optimal fit.Which two actions should you perform? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.

• Reduce the amount of training data.
• Add an additional dense layer with 64 input units
• Add L1/L2 regularization.
• Use training data augmentation
• Add an additional dense layer with 512 input units.

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 are creating a new experiment in Azure Machine Learning Studio.One class has a much smaller number of observations than tin- other classes in the training set.You need to select an appropriate data sampling strategy to compensate for the class imbalance.Solution: You use the Principal Components Analysis (PCA) sampling mode.Does the solution meet the goal?

• Yes
• No

You manage an Azure Machine Learning workspace. The Pylhon scrip! named scriptpy reads an argument named training_data. The trainlng.data argument specifies the path to the training data in a file named datasetl.csv.You plan to run the scriptpy Python script as a command job that trains a machine learning model.You need to provide the command to pass the path for the datasct as a parameter value when you submit the script as a training job.Solution: python script.py --training_data dataset1,csvDoes the solution meet the goal?

• Yes
• No

You are planning to register a trained model in an Azure Machine Learning workspace.You must store additional metadata about the model in a key-value format. You must be able to add new metadata and modify or delete metadata after creation.You need to register the model.Which parameter should you use?

• description
• model_framework
• cags
• properties

You create an Azure Machine Learning workspace. You use Azure Machine Learning designer to create a pipeline within the workspace. You need to submit a pipeline run from the designer.What should you do first?

• Create a compute cluster.
• Create an attached compute resource.
• Select a model.
• Create an experiment.

You use the Azure Machine Learning SDK in a notebook to run an experiment using a script file in an experiment folder.The experiment fails.You need to troubleshoot the failed experiment.What are two possible ways to achieve this goal? Each correct answer presents a complete solution.

• Use the get_metrics() method of the run object to retrieve the experiment run logs.
• Use the get_details_with_logs() method of the run object to display the experiment run logs.
• View the log files for the experiment run in the experiment folder.
• View the logs for the experiment run in Azure Machine Learning studio.
• Use the get_output() method of the run object to retrieve the experiment run logs.

You plan to use automated machine learning by using Azure Machine Learning Python SDK v2 to train a regression model. You have data that has features with missing values, and categorical features with few distinct values.You need to control whether automated machine learning automatically imputes missing values and encode categorical features as part of the training task. Which enemy of the autumn package should you use?

• ForecastHorizonMode
• RegressionPrimaryMetrics
• RegressionModels
• FeaturizationMode

You use an Azure Machine Learning workspace.You have a trained model that must be deployed as a web service. Users must authenticate by using Azure Active Directory.What should you do?

• Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the token_auth_enabled parameter of the target configuration object to true
• Deploy the model to Azure Container Instances. During deployment, set the auch_enabled parameter of the target configuration object to true
• Deploy the model to Azure Container Instances. During deployment, set the coken_auch_enabled parameter of the target configuration object to true
• Deploy the model to Azure Kubernetes Service (AKS). During deployment, set the auch. enabled parameter of the target configuration object to true