DP-100 exam

DRAG DROP You need to define a process for penalty event detection. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. View AnswerAnswer:

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 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...

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 ....