DP-100 V4

HOTSPOT You create a binary classification model using Azure Machine Learning Studio. You must use a Receiver Operating Characteristic (RO C) curve and an F1 score to evaluate the model. You need to create the required business metrics. How should you complete the experiment? To answer, select the appropriate options...

You are a data scientist creating a linear regression model. You need to determine how closely the data fits the regression line. Which metric should you review?A . Coefficient of determinationB . RecallC . PrecisionD . Mean absolute errorE . Root Mean Square ErrorView AnswerAnswer: A Explanation: Coefficient of determination,...

DRAG DROP You are creating an experiment by using Azure Machine Learning Studio. You must divide the data into four subsets for evaluation. There is a high degree of missing values in the data. You must prepare the data for analysis. You need to select appropriate methods for producing the...

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...

You 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...

HOTSPOT You are retrieving data from a large datastore by using Azure Machine Learning Studio. You must create a subset of the data for testing purposes using a random sampling seed based on the system clock. You add the Partition and Sample module to your experiment. You need to select...

HOTSPOT You are using the Azure Machine Learning Service to automate hyperparameter exploration of your neural network classification model. You must define the hyperparameter space to automatically tune hyperparameters using random sampling according to following requirements: ✑ The learning rate must be selected from a normal distribution with a mean...

HOTSPOT You are working on a classification task. You have a dataset indicating whether a student would like to play soccer and associated attributes. The dataset includes the following columns: You need to classify variables by type. Which variable should you add to each category? To answer, select the appropriate...

You are building a regression model tot estimating the number of calls during an event. You need to determine whether the feature values achieve the conditions to build a Poisson regression model. Which two conditions must the feature set contain? I ach correct answer presents part of the solution. NOTE:...

HOTSPOT You need to build a feature extraction strategy for the local models. 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. View AnswerAnswer: