DP-100 V1

You are developing a machine learning model. You must inference the machine learning model for testing. You need to use a minimal cost compute target Which two compute targets should you use? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one pointA . Local web...

You need to resolve the local machine learning pipeline performance issue. What should you do?A . Increase Graphic Processing Units (GPUs). B. Increase the learning rate. C. Increase the training iterations, D. Increase Central Processing Units (CPUs).View AnswerAnswer: A

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 deploy a real-time inference service for a trained model. The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates. You need to implement a monitoring solution for the deployed model...

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=0.5...

DRAG DROP You create an Azure Machine Learning workspace. You must implement dedicated compute for model training in the workspace by using Azure Synapse compute resources. The solution must attach the dedicated compute and start an Azure Synapse session. You need to implement the compute resources. Which three actions should...

You deploy a real-time inference service for a trained model. The deployed model supports a business-critical application, and it is important to be able to monitor the data submitted to the web service and the predictions the data generates. You need to implement a monitoring solution for the deployed model...

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 the service runs the...

HOTSPOT You plan to implement a two-step pipeline by using the Azure Machine Learning SDK for Python. The pipeline will pass temporary data from the first step to the second step. You need to identify the class and the corresponding method that should be used in the second step to...

HOTSPOT You are using Azure Machine Learning to train machine learning models. You need a compute target on which to remotely run the training script. You run the following Python code: View AnswerAnswer: Explanation: Box 1: Yes The compute is created within your workspace region as a resource that can...