DP-100 exam

You need to implement a scaling strategy for the local penalty detection data. Which normalization type should you use?A . StreamingB . WeightC . BatchD . CosineView AnswerAnswer: C Explanation: Post batch normalization statistics (PBN) is the Microsoft Cognitive Toolkit (CNTK) version of how to evaluate the population mean and...

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 solving a classification task. You must evaluate your model on a limited data sample by using k-fold cross validation. You start by configuring a k parameter as the number of splits. You need to configure the k parameter for the cross-validation. Which value should you use?A . k=0.5B...

You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit. Which technique should you use?A . Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45.B . Set the threshold to 0.05 and retrain...

You are performing clustering by using the K-means algorithm. You need to define the possible termination conditions. Which three conditions can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.A . A fixed number of iterations is executed.B . The residual sum...

You are performing feature engineering on a dataset. You must add a feature named CityName and populate the column value with the text London. You need to add the new feature to the dataset. Which Azure Machine Learning Studio module should you use?A . Edit MetadataB . Preprocess TextC ....

You are creating a machine learning model. You need to identify outliers in the data. Which two visualizations can you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. NOTE: Each correct selection is worth one point.A . box plotB . scatterC ....

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 first 1.000 rows represent class 1 (10 percent). The training set is unbalanced between two Classes. You must increase the number...

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 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 CSVB . Convert to DatasetC . Convert to ARFFD . Convert to SVMLightView AnswerAnswer: C Explanation: Use...