DP-100

You train a machine learning model. You must deploy the model as a real-time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead. Which compute target...

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...

DRAG DROP You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements. Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct...

You need to select a feature extraction method. Which method should you use?A . Spearman correlationB . Mutual informationC . Mann-Whitney testD . Pearson’s correlationView AnswerAnswer: A Explanation: Spearman's rank correlation coefficient assesses how well the relationship between two variables can be described using a monotonic function. Note: Both Spearman's...

HOTSPOT You need to identify the methods for dividing the data according to the testing requirements. Which properties should you select? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. View AnswerAnswer: Explanation: Scenario: Testing You must produce multiple partitions of...

You deploy a model as an Azure Machine Learning real-time web service using the following code. The deployment fails. You need to troubleshoot the deployment failure by determining the actions that were performed during deployment and identifying the specific action that failed. Which code segment should you run?A . service.get_logs()B...

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 ....

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...

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

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...