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:

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 plan to use the Hyperdrive feature of Azure Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of the following hyperparameter values. You must not apply an early termination policy. learning_rate: any value between 0.001 and 0.1 • batch_size:...

You need to select a feature extraction method. Which method should you use?A . Mutual informationB . Mood’s median testC . Kendall correlationD . Permutation Feature ImportanceView AnswerAnswer: C Explanation: In statistics, the Kendall rank correlation coefficient, commonly referred to as Kendall's tau coefficient (after the Greek letter), is a...

HOTSPOT You are tuning a hyperparameter for an algorithm. The following table shows a data set with different hyperparameter, training error, and validation errors. Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic. View AnswerAnswer: Explanation: Box 1:...

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:

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...

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....

HOTSPOT You need to configure the Edit Metadata module so that the structure of the datasets match. Which configuration options should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Box 1: Floating point Need floating...

DRAG DROP You have an Azure Machine Learning workspace that contains a CPU-based compute cluster and an Azure Kubernetes Services (AKS) inference cluster. You create a tabular dataset containing data that you plan to use to create a classification model. You need to use the Azure Machine Learning designer to...