Which value should you use?
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=1B ....
Which three actions should you perform in sequence?
DRAG DROP You need to correct the model fit issue. 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: Augment the data Scenario: Columns...
Which environment should you use?
You need to select an environment that will meet the business and data requirements. Which environment should you use?A . Azure HDInsight with Spark MLlibB . Azure Cognitive ServicesC . Azure Machine Learning StudioD . Microsoft Machine Learning ServerView AnswerAnswer: D
What should you do?
Topic 3, Mix Questions You train a model and register it in your Azure Machine Learning workspace. You are ready to deploy the model as a real-time web service. You deploy the model to an Azure Kubernetes Service (AKS) inference cluster, but the deployment fails because an error occurs when...
Which method should you use?
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...
Which three actions should you perform in sequence?
DRAG DROP You need to modify the inputs for the global penalty event model to address the bias and variance issue. 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...
Does the solution meet the goal?
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...
Which observation indicates that the classification model is over fitted?
You are building a recurrent neural network to perform a binary classification. You review the training loss, validation loss, training accuracy, and validation accuracy for each training epoch. You need to analyze model performance. Which observation indicates that the classification model is over fitted?A . The training loss .stays constant...
Which configuration options should you select?
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...
What should you do?
Topic 3, Mix Questions You train a model and register it in your Azure Machine Learning workspace. You are ready to deploy the model as a real-time web service. You deploy the model to an Azure Kubernetes Service (AKS) inference cluster, but the deployment fails because an error occurs when...