DP-100 V3

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...

HOTSPOT You need to use the Python language to build a sampling strategy for the global penalty detection 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: Explanation: Box 1: import...

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 moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?A . Convert to CSV B. Convert to Dataset C. Convert to ARFF D. Convert to SVMLightView AnswerAnswer: C Explanation: Use...

You are performing a filter based feature selection for a dataset 10 build a multi class classifies by using Azure Machine Learning Studio. The dataset contains categorical features that are highly correlated to the output label column. You need to select the appropriate feature scoring statistical method to identify the...

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:...

You are evaluating a completed binary classification machine learning model. You need to use the precision as the valuation metric. Which visualization should you use?A . Binary classification confusion matrix B. box plot C. Gradient descent D. coefficient of determinationView AnswerAnswer: A Explanation: Reference: https://machinelearningknowledge.ai/confusion-matrix-and-performance-metrics-machine-learning/

HOTSPOT You create an experiment in Azure Machine Learning Studio. You add a training dataset that contains 10,000 rows. The first 9,000 rows represent class 0 (90 percent). The remaining 1,000 rows represent class 1 (10 percent). The training set is imbalances between two classes. You must increase the number...

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...

Your team is building a data engineering and data science development environment. The environment must support the following requirements: ✑ support Python and Scala ✑ compose data storage, movement, and processing services into automated data pipelines ✑ the same tool should be used for the orchestration of both data engineering...