DP-100 Exam Questions
402 real DP-100 exam questions with expert-verified answers and explanations. Page 4 of 9.
- Question #198Train 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...
Model InterpretabilityExplainable AIFeature ImportanceAzure Machine Learning Explainers - Question #199
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...
- Question #200Train 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...
Explainable AIFeature ImportanceModel InterpretabilityAzure Machine Learning - Question #201Train and deploy models
You create a machine learning model by using the Azure Machine Learning designer. You publish the model as a real-time service on an Azure Kubernetes Service (AKS) inference comput...
Model DeploymentReal-time EndpointsAPI ConsumptionEndpoint Authentication - Question #202Train and deploy models
You use Azure Machine Learning designer to create a training pipeline for a regression model. You need to prepare the pipeline for deployment as an endpoint that generates predicti...
Azure ML DesignerModel DeploymentInference PipelinesReal-time Endpoints - Question #203Train and deploy models
You retrain an existing model. You need to register the new version of a model while keeping the current version of the model in the registry. What should you do?
Model RegistryModel VersioningAzure Machine Learning - Question #204Design 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 ML PipelinesData orchestrationData processingModel training workflow - Question #205Train and deploy models
You run an experiment that uses an AutoMLConfig class to define an automated machine learning task with a maximum of ten model training iterations. The task will attempt to find th...
AutoMLAzure Machine Learning SDKModel SelectionTraining Output - Question #206Train and deploy models
You use the Azure Machine Learning SDK to run a training experiment that trains a classification model and calculates its accuracy metric. The model will be retrained each month as...
Model RegistrationModel VersioningModel MetadataConditional Logic - Question #207Explore data and run experiments
You plan to use the Hyperdrive feature of Azue Machine Learning to determine the optimal hyperparameter values when training a model. You must use Hyperdrive to try combinations of...
Hyperparameter tuningAzure Machine LearningHyperdriveSampling methods - Question #208Explore data and run experiments
You are training machine learning models in Azure Machine Learning. You use Hyperdrive to tune the hyperparameter. In previous model training and tuning runs, many models showed si...
Early termination policyHyperparameter tuningAzure Machine LearningHyperdrive - Question #209Train and deploy models
You are a data scientist working for a hotel booking website company. You use the Azure Machine Learning service to train a model that identifies fraudulent transactions. You must...
Model DeploymentAzure ML SDKEntry ScriptReal-time Inference - Question #210Train and deploy models
You develop and train a machine learning model to predict fraudulent transactions for a hotel booking website. Traffic to the site varies considerably. The site experiences heavy t...
Azure Machine LearningModel DeploymentReal-time InferenceCompute Targets - Question #211Explore data and run experiments
You use the Azure Machine Learning SDK in a notebook to run an experiment using a script file in an experiment folder. The experiment fails. You need to troubleshoot the failed exp...
Azure ML SDKTroubleshootingExperiment ManagementLogging - Question #212Explore 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 LearningCommand JobsEnvironmentsData Handling - Question #226Train and deploy models
Drag and Drop Question You use Azure Machine Learning to deploy a model as a real-time web service. You need to create an entry script for the service that ensures that the model i...
Model DeploymentReal-time InferenceEntry ScriptAzure ML Web Services - Question #228Train and deploy models
Drag and Drop Question 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...
Azure ML DesignerReal-time inferenceWeb service deploymentAKS inference cluster - Question #230Train 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 LearningModel DeploymentACI WebserviceKey-based Authentication - Question #231Train 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...
Model DeploymentWeb ServicesAuthenticationAzure Kubernetes Service - Question #232Train 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...
Model DeploymentAzure Kubernetes Service (AKS)Web Service AuthenticationKey-based Authentication - Question #233Explore 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 TrackingMetrics LoggingRun Artifacts - Question #234Explore 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 Learning SDKExperiment TrackingMetrics LoggingPython - Question #235Explore 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 Learning SDKExperiment TrackingRun MetricsPython - Question #237Explore data and run experiments
You create a script that trains a convolutional neural network model over multiple epochs and logs the validation loss after each epoch. The script includes arguments for batch siz...
Hyperparameter TuningAzure Machine LearningHyperDriveMachine Learning Experiments - Question #238Train and deploy models
You use the Azure Machine Learning Python SDK to define a pipeline to train a model. The data used to train the model is read from a folder in a datastore. You need to ensure the p...
Azure ML PipelinesData Change TriggerSchedulesDatastores - Question #239Explore data and run experiments
You plan to run a Python script as an Azure Machine Learning experiment. The script must read files from a hierarchy of folders. The files will be passed to the script as a dataset...
Azure ML ExperimentsDataset ModesData IngressFileDataset - Question #240Explore data and run experiments
You create a Python script that runs a training experiment in Azure Machine Learning. The script uses the Azure Machine Learning SDK for Python. You must add a statement that retri...
Azure ML SDKExperiment trackingRun objectLogs and outputs - Question #241Explore data and run experiments
You run a script as an experiment in Azure Machine Learning. You have a Run object named run that references the experiment run. You must review the log files that were generated d...
Azure ML SDKExperiment ManagementLog FilesData Retrieval - Question #242Explore data and run experiments
You have the following code. The code prepares an experiment to run a script: The experiment must be run on local computer using the default environment. You need to add code to st...
Azure ML SDKExperimentsScriptRunConfigSubmitting Runs - Question #243Explore data and run experiments
You use the following code to define the steps for a pipeline: from azureml.core import Workspace, Experiment, Run from azureml.pipeline.core import Pipeline from azureml.pipeline....
Azure ML PipelinesPipeline definitionPythonScriptStep - Question #245Explore data and run experiments
You plan to run a Python script as an Azure Machine Learning experiment. The script contains the following code: You must specify a file dataset as an input to the script. The data...
Azure Machine Learning ExperimentsScriptRunConfigDataset InputData Input Methods - Question #246Train and deploy models
You use the designer to create a training pipeline for a classification model. The pipeline uses a dataset that includes the features and labels required for model training. You cr...
Azure ML DesignerReal-time inference pipelineInput schema modificationData preprocessing - Question #247Train and deploy models
You use the Azure Machine Learning designer to create and run a training pipeline. You then create a real-time inference pipeline. You must deploy the real-time inference pipeline...
Azure ML deploymentReal-time inferenceCompute clusterWeb service - Question #248Explore data and run experiments
You create an Azure Machine Learning workspace named ML-workspace. You also create an Azure Databricks workspace named DB-workspace. DB-workspace contains a cluster named DB-cluste...
Azure Databricks integrationAzure Machine LearningMLflow trackingWorkspace linking - Question #249Train and deploy models
You are planning to register a trained model in an Azure Machine Learning workspace. You must store additional metadata about the model in a key-value format. You must be able to a...
Model registrationAzure Machine LearningMetadata managementModel properties - Question #250Explore data and run experiments
You have a Python script that executes a pipeline. The script includes the following code: from azureml.core import Experiment pipeline_run = Experiment(ws, 'pipeline_test').submit...
Azure ML PipelinesPipeline MonitoringPython SDKRun Management - Question #251Explore data and run experiments
You manage an Azure Machine Learning workspace named proj1. You plan to use assets defined in proj1 to create a pipeline in the Machine Learning studio designer. You need to set th...
Azure Machine Learning StudioWorkspacesAsset ManagementUI Filtering - Question #252Design and prepare a machine learning solution
Drag and Drop Question You have an Azure Machine Learning workspace named WS1 and a GitHub account named account1 that hosts a private repository named repo1. You need to clone rep...
Azure Machine LearningGitHub IntegrationSSH AuthenticationAzure Key Vault - Question #253Train and deploy models
You manage an Azure Machine Learning workspace. You design a training job that is configured with a serverless compute. The serverless compute must have a specific instance type an...
Azure Machine LearningPython SDK v2Compute ConfigurationTraining Job - Question #255Train 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...
Hyperparameter tuningAzure Machine LearningSweep jobsRandom sampling - Question #256Explore 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...
Hyperparameter tuningAzure ML Sweep JobSampling methodsEarly termination - Question #257Explore 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...
Hyperparameter tuningAzure Machine LearningSweep jobSampling methods - Question #258Explore data and run experiments
You have an Azure Machine Learning workspace. You plan to use the workspace to set up automated machine learning training for an image classification model. You need to choose the...
Azure Machine LearningAutoMLImage ClassificationModel Metrics - Question #259Train and deploy models
You have an Azure Machine Learning workspace named WS1. You plan to use Azure Machine Learning SDK v2 to register a model as an asset in WS1 from an artifact generated by an MLflow...
Azure ML SDK v2Model RegistrationJob Output ReferenceMLflow Artifacts - Question #260Explore data and run experiments
Drag and Drop Question You manage an Azure Machine Learning workspace. You plan to import and wrangle data stored in Azure Data Lake Storage Gen2 with Apache Spark. You need to sta...
Azure ML WorkspacesData WranglingApache SparkIdentity Passthrough - Question #261
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...
- Question #262Train 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 DeploymentManaged Online EndpointsNetwork SecurityMLflow Models - Question #263Train 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 DeploymentOnline EndpointsNo Egress ConnectivityMLflow Models - Question #264Train and deploy models
You use an Azure Machine Learning workspace. You must monitor cost at the endpoint and deployment level. You have a trained model that must be deployed as an online endpoint. Users...
Azure ML online endpointsModel deploymentAuthenticationCost monitoring - Question #265Design and prepare a machine learning solution
You manage an Azure Machine Learning workspace. You use Azure Machine Learning Python SDK v2 to configure a trigger to schedule a pipeline job. You need to create a time-based sche...
Azure Machine LearningPipeline schedulingSDK v2Recurrence patterns