DP-100 Exam Questions
402 real DP-100 exam questions with expert-verified answers and explanations. Page 3 of 9.
- Question #137Explore data and run experiments
You create a datastore named training_data that references a blob container in an Azure Storage account. The blob container contains a folder named csv_files in which multiple comm...
Azure Machine LearningDatastoresDataReferenceEstimator - Question #138Train and deploy models
You create a deep learning model for image recognition on Azure Machine Learning service using GPU- based training. You must deploy the model to a context that allows for real-time...
Model deploymentGPU inferencingReal-time inferenceAzure Kubernetes Service - Question #139Train and deploy models
You create a batch inference pipeline by using the Azure ML SDK. You run the pipeline by using the following code: from azureml.pipeline.core import Pipeline from azureml.core.expe...
Azure Machine LearningML PipelinesPipeline MonitoringAzure ML SDK - Question #140Train and deploy models
You train and register a model in your Azure Machine Learning workspace. You must publish a pipeline that enables client applications to use the model for batch inferencing. You mu...
Azure Machine LearningBatch InferencingParallelRunStepModel Deployment - Question #141Train and deploy models
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...
Azure Machine LearningModel DeploymentTroubleshootingDeployment Logs - Question #142Train and deploy models
You create a multi-class image classification deep learning model. You train the model by using PyTorch version 1.2. You need to ensure that the correct version of PyTorch can be i...
Model DeploymentAzure Machine LearningModel RegistrationFramework Versioning - Question #143Design and prepare a machine learning solution
You are a lead data scientist for a project that tracks the health and migration of birds. You create a multi- class image classification deep learning model that uses a set of lab...
Azure Machine Learning DatastoresAzure Blob StorageData AccessDeep Learning Data Preparation - Question #144Explore data, and run experiments
You use the Azure Machine Learning service to create a tabular dataset named training_data. You plan to use this dataset in a training script. You create a variable that references...
Azure ML SDKDatasetsTraining Run ConfigurationData Input - Question #145Explore data and run experiments
You register a file dataset named csv_folder that references a folder. The folder includes multiple comma-separated values (CSV) files in an Azure storage blob container. You plan...
Azure Machine LearningDatasetsScript Run ConfigurationData Mounting - Question #146Design and prepare a machine learning solution
You are creating a new Azure Machine Learning pipeline using the designer. The pipeline must train a model using data in a comma-separated values (CSV) file that is published on a...
Azure ML DesignerData IngestionDatasetsPipeline Modules - Question #147Explore data and run experiments
You define a datastore named ml-data for an Azure Storage blob container. In the container, you have a folder named train that contains a file named data.csv. You plan to use the f...
Azure Machine Learning SDKDataReferenceData loadingLocal compute - Question #148Explore data and run experiments
You run an automated machine learning experiment in an Azure Machine Learning workspace. Information about the run is listed in the table below: You need to write a script that use...
Azure Machine Learning SDKAutomated MLExperiment ManagementPython - Question #149Explore data and run experiments
You have a comma-separated values (CSV) file containing data from which you want to train a classification model. You are using the Automated Machine Learning interface in Azure Ma...
Automated Machine Learning (AutoML)FeaturizationClassification ModelsModel Constraint - Question #150Train and deploy models
You are a data scientist working for a bank and have used Azure ML to train and register a machine learning model that predicts whether a customer is likely to repay a loan. You wa...
Model InterpretabilityResponsible AIFeature ImportanceAI Fairness - Question #151Train and deploy models
You create a multi-class image classification deep learning model that uses the PyTorch deep learning framework. You must configure Azure Machine Learning Hyperdrive to optimize th...
Azure Machine LearningHyperparameter TuningHyperdriveModel Evaluation - Question #152Explore data and run experiments
You plan to use automated machine learning to train a regression model. You have data that has features which have missing values, and categorical features with few distinct values...
Automated Machine Learning (AutoML)Data PreprocessingFeature EngineeringAzure Machine Learning - Question #153Train and deploy models
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 q...
Azure Machine Learning PipelinesData processingModel trainingData flow - Question #154Train and deploy models
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 q...
Azure Machine Learning PipelinesData processingDatastoresModel training - Question #155Train and deploy models
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 q...
Azure ML PipelinesData ProcessingModel TrainingDatastores - Question #156Explore data and run experiments
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 q...
Azure ML SDKEnvironmentsCompute TargetExperiment Run Configuration - Question #157Explore data and run experiments
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 q...
Azure ML ExperimentsEnvironment ManagementPython Package DependenciesScriptRunConfig - Question #158Explore data and run experiments
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 q...
Azure ML SDKExperiment ConfigurationEnvironment ManagementDependency Management - Question #159Train and deploy models
You create a multi-class image classification deep learning model that uses a set of labeled images. You create a script file named train.py that uses the PyTorch 1.3 framework to...
Azure Machine LearningPyTorchEstimatorsModel Training - Question #160Train and deploy models
You create a pipeline in designer to train a model that predicts automobile prices. Because of non-linear relationships in the data, the pipeline calculates the natural log (Ln) of...
Azure ML Designer PipelinesReal-time InferenceData TransformationWeb Service Configuration - Question #161Train and deploy models
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 Kubernete...
Model DeploymentDebuggingAzure Container Instances (ACI)Azure Kubernetes Service (AKS) - Question #162Train and deploy models
You are creating a classification model for a banking company to identify possible instances of credit card fraud. You plan to create the model in Azure Machine Learning by using a...
Classification MetricsImbalanced DataModel EvaluationAutomated Machine Learning - Question #165Train and deploy models
Drag and Drop Question An organization uses Azure Machine Learning service and wants to expand their use of machine learning. You have the following compute environments. The organ...
Azure Machine Learning ComputeCompute EnvironmentsModel TrainingModel Deployment - Question #169Train and deploy models
Drag and Drop Question You create a multi-class image classification deep learning experiment by using the PyTorch framework. You plan to run the experiment on an Azure Compute clu...
Azure ML PipelinesMLOpsDeep LearningResource Optimization - Question #172Explore data and run experiments
Drag and Drop Question You plan to explore demographic data for home ownership in various cities. The data is in a CSV file with the following format: age,city,income,home_owner 21...
Azure ML ExperimentsLoggingRun ObjectData Exploration - Question #176Train and deploy models
Drag and Drop Question You create machine learning models by using Azure Machine Learning. You plan to train and score models by using a variety of compute contexts. You also plan...
Azure Machine LearningCompute typesTraining computeInference compute - Question #177Explore data and run experiments
Drag and Drop Question You are building an experiment using the Azure Machine Learning designer. You split a dataset into training and testing sets. You select the Two-Class Booste...
Azure Machine Learning DesignerModel EvaluationMachine Learning WorkflowClassification - Question #179Explore data and run experiments
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 q...
Azure Machine LearningCompute TargetsDNN TrainingExperiments - Question #180Explore data and run experiments
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 q...
Azure ML SDKCompute targetsDNN trainingExperiment tracking - Question #181Train and deploy models
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 q...
Azure ML Compute TargetsModel TrainingExperimentationCompute Target Types - Question #182Design and prepare a machine learning solution
You create an Azure Machine Learning workspace. You must create a custom role named DataScientist that meets the following requirements: - Role members must not be able to delete t...
Azure RBACCustom RolesAzure Machine LearningAccess Control - Question #183Train and deploy models
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...
Model DeploymentReal-time InferenceAzure Container Instance (ACI)Compute Target Selection - Question #184Train and deploy models
You register a model that you plan to use in a batch inference pipeline. The batch inference pipeline must use a ParallelRunStep step to process files in a file dataset. The script...
ParallelRunStepBatch InferenceAzure Machine LearningPipeline Configuration - Question #185Train and deploy models
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 submit...
Model MonitoringReal-time InferenceAzure Application InsightsMLOps - Question #186Explore data and run experiments
You create an Azure Machine Learning workspace. You are preparing a local Python environment on a laptop computer. You want to use the laptop to connect to the workspace and run ex...
Azure ML SDKWorkspace connectionconfig.jsonEnvironment setup - Question #187Train and deploy models
You create an Azure Machine Learning compute resource to train models. The compute resource is configured as follows: - Minimum nodes: 2 - Maximum nodes: 4 You must decrease the mi...
Azure ML ComputeCompute Resource ConfigurationPython SDKAzure Management Tools - Question #188Design and prepare a machine learning solution
You create a new Azure subscription. No resources are provisioned in the subscription. You need to create an Azure Machine Learning workspace. What are three possible ways to achie...
Azure ML WorkspaceResource ProvisioningAzure CLIARM Templates - Question #189Train and deploy models
An organization creates and deploys a multi-class image classification deep learning model that uses a set of labeled photographs. The software engineering team reports there is a...
Inference scalingAzure ML Compute ClusterPerformance optimizationHorizontal scaling - Question #190Train and deploy models
You create a batch inference pipeline by using the Azure ML SDK. You configure the pipeline parameters by executing the following code: You need to obtain the output from the pipel...
Batch inferenceAzure ML PipelinesParallelRunStepOutput retrieval - Question #191Train and deploy models
You use Azure Machine Learning designer to create a real-time service endpoint. You have a single Azure Machine Learning service compute resource. You train the model and prepare t...
Azure ML deploymentReal-time endpointsAKSCompute targets - Question #192Explore data and run experiments
You plan to run a script as an experiment using a Script Run Configuration. The script uses modules from the scipy library as well as several Python packages that are not typically...
Azure ML EnvironmentsDependency managementExperiment executionCompute targets - Question #193Explore data and run experiments
You write a Python script that processes data in a comma-separated values (CSV) file. You plan to run this script as an Azure Machine Learning experiment. The script loads the data...
Azure Machine LearningExperiment TrackingMetrics LoggingPython SDK - Question #194Explore data, and run experiments
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 q...
Azure Machine LearningDatastoreDataset CreationData Loading - Question #195Explore data and run experiments
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 q...
Azure ML DatasetData loadingDatastoreFile paths/wildcards - Question #196Design and prepare a machine learning 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 q...
Azure Machine Learning DatasetsDatastoresData LoadingWildcards - Question #197Explore data and run experiments
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 o...
Azure Machine LearningHyperparameter TuningHyperdriveSearch Space