DP-100 exam

You are building recurrent neural network to perform a binary classification. The training loss, validation loss, training accuracy, and validation accuracy of each training epoch has been provided. You need to identify whether the classification model is over fitted. Which of the following is correct?A . The training loss increases...

HOTSPOT You need to configure the Permutation Feature Importance module for the model training requirements. What should you do? To answer, select the appropriate options in the dialog box in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: 500 For Random seed,...

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

You are developing a hands-on workshop to introduce Docker for Windows to attendees. You need to ensure that workshop attendees can install Docker on their devices. Which two prerequisite components should attendees install on the devices? Each correct answer presents part of the solution. NOTE: Each correct selection is worth...

DRAG DROP You need to define a modeling strategy for ad response. 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: Explanation: Step 1: Implement a K-Means...

You are a data scientist building a deep convolutional neural network (CNN) for image classification. The CNN model you built shows signs of overfitting. You need to reduce overfitting and converge the model to an optimal fit. Which two actions should you perform? Each correct answer presents a complete solution....

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 with a time series dataset in Azure Machine Learning Studio. You need to split your dataset into training and testing subsets by using the Split Data module. Which splitting mode should you use?A . Regular Expression Split B. Split Rows with the Randomized split parameter set to true...

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...

DRAG DROP You are producing a multiple linear regression model in Azure Machine Learning Studio. Several independent variables are highly correlated. You need to select appropriate methods for conducting effective feature engineering on all the data. Which three actions should you perform in sequence? To answer, move the appropriate actions...