Get Full Version of the Examhttp://www.EnsurePass.com/DP-100.html Question No.31Note: 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 Read more [...]

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Get Full Version of the Examhttp://www.EnsurePass.com/DP-100.html Question No.21HOTSPOTYou are using the Azure Machine Learning Service to automate hyper par a meter exploration of your neural network classification model.You must define the hyper parameter space to automatically tune hyper parameters using random sampling according to following requirements:Learning rate must be selected from a normal distribution with a mean value of 10 and a standard deviation of 3.Batch size must be 16, 32 Read more [...]

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Get Full Version of the Examhttp://www.EnsurePass.com/DP-100.html Question No.11HOTSPOTYou plan to preprocess text from CSV files. You load the Azure Machine Learning Studio default stop words list.You need to configure the Preprocess Text module to meet the following requirements:Ensure that multiple related words from a single canonical form. Remove pipe characters from text.Remove words to optimize information retrieval.Which three options should you select? To answer, select the appropriate Read more [...]

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Get Full Version of the Examhttp://www.EnsurePass.com/DP-100.html Question No.1You are creating a new experiment in Azure Machine Learning Studio. You have a small dataset that has missing values in many columns. The data does not require the application of predictors for each column. You plan to use the Clean Missing Data module to handle the missing data.You need to select a data cleaning method. Which method should you use?Synthetic Minority Oversampling Technique (SMOTE)Replace using MICEReplace Read more [...]

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