DP-100 Exam Questions
402 real DP-100 exam questions with expert-verified answers and explanations. Page 7 of 9.
- Question #417Design and prepare a machine learning solution
You create a multi-class image classification model with automated machine learning in Azure Machine Learning. You need to prepare labeled image data as input for model training in...
Azure Machine LearningAutoMLImage ClassificationData Format - Question #418Explore data and run experiments
You use Azure Machine Learning to train a model. You must use a sampling method for tuning hyperparameters. The sampling method must pick samples based on how the model performed w...
Hyperparameter tuningBayesian optimizationAzure Machine LearningModel training - Question #419Design and prepare a machine learning solution
You create a training pipeline by using the Azure Machine Learning designer. You need to load data into a machine learning pipeline by using the Import Data component. Which two da...
Azure ML designerImport Data componentData sourcesData ingestion - Question #420Train and deploy models
You register a model in an Azure Machine Learning workspace by running the following code: You are creating a scoring script to use in a real-time service for the model. You need t...
Model DeploymentScoring ScriptAzure Machine Learning SDKModel Registration - Question #421Explore data and run experiments
You are using a ScriptRunConfig object to configure an experiment that uses a script to train a machine learning model. The script must apply a regularization rate hyperparameter t...
ScriptRunConfigExperiment configurationHyperparameterAzure Machine Learning - Question #422Train and deploy models
You are using Azure Machine Learning to monitor a trained and deployed model. You implement Event Grid to respond to Azure Machine Learning events. Model performance has degraded d...
Model MonitoringData DriftAzure Machine LearningEvent Grid - Question #423Explore data, and run experiments
You are implementing hyperparameter tuning for a model training from a notebook. The notebook is in an Azure Machine Learning workspace. You must configure a grid sampling method o...
Hyperparameter tuningGrid samplingAzure Machine LearningModel training - Question #424Explore data and run experiments
You create an Azure Machine Learning workspace. You are implementing hyperparameter tuning for a model training from a notebook. You must configure a Bandit termination policy that...
Hyperparameter TuningEarly Termination PolicyAzure Machine LearningBandit Policy - Question #425Design and prepare a machine learning solution
You need to evaluate the potential risk of exposing personal information based on the values of epsilon and delta for differential privacy. You create a privacy report. What does a...
Differential PrivacyEpsilon valuePrivacy riskData privacy - Question #426Explore data, and run experiments
You create a workspace by using Azure Machine Learning Studio. You must run a Python SDK v2 notebook in the workspace by using Azure Machine Learning Studio. You must preserve the...
Azure ML StudioNotebooksKernel managementCompute instance - Question #427Explore data, and run experiments
You create an Azure Machine Learning workspace named workspaces. You create a Python SDK v2 notebook to perform custom model training in workspaces. You need to run the notebook fr...
Azure Machine Learning ComputeCompute InstanceNotebook executionAML Studio - Question #428Explore data and run experiments
You plan to run a script as an experiment. The script uses modules from the SciPy library and several Python packages that are not typically installed in a default conda environmen...
Azure Machine Learning environmentsExperiment reproducibilityCompute targetsPackage management - Question #429Train and deploy models
You have an Azure Machine Learning workspace. You build a deep learning model. You need to publish a GPU-enabled model as a web service. Which two compute targets can you use? Each...
Model DeploymentAzure ML ComputeGPU InferenceWeb Services - Question #430Explore data and run experiments
You create an Azure Machine Learning workspace named workspace1. The workspace contains a Python SDK v2 notebook that uses MLflow to collect model training metrics and artifacts fr...
MLflowExperiment TrackingAzure Machine LearningCompute Instance - Question #431Explore data and run experiments
You use Azure Machine Learning to train a model. You must use Bayesian sampling to tune hyperparameters. You need to select a learning_rate parameter distribution. Which two distri...
Azure Machine LearningHyperparameter TuningBayesian SamplingParameter Distributions - Question #432Explore data, and run experiments
You create an Azure Machine learning workspace. You must use the Azure Machine Learning Python SDK v2 to define the search space for discrete hyperparameters. The hyperparameters m...
Azure ML SDK v2Hyperparameter TuningSweep JobDiscrete Search Space - Question #433Explore data and run experiments
You have a dataset that contains records of patients tested for diabetes. The dataset includes the patient's age. You plan to create an analysis that will report the mean age value...
Differential PrivacyEpsilonData PrivacyPrivacy-Preserving Analysis - Question #434Explore data and run experiments
You create a workspace by using Azure Machine Learning Studio. You must run a Python SDK v2 notebook in the workspace by using Azure Machine Learning Studio. You need to reset the...
Azure Machine Learning StudioNotebooksCompute InstancesKernel Management - Question #435Explore data and run experiments
You manage an Azure Machine Learning workspace. You must log multiple metrics by using MLflow. You need to maximize logging performance. What are two possible ways to achieve this...
MLflowMetric LoggingPerformance OptimizationAzure ML - Question #436Train and deploy models
You have an Azure Machine Learning workspace. You plan to tune a model hyperparameter when you train the model. You need to define a search space that returns a normally distribute...
Hyperparameter TuningAzure Machine LearningSearch SpaceStatistical Distributions - Question #437Train and deploy models
You have an Azure Machine Learning workspace named WS1. You plan to use the Responsible AI dashboard to assess MLflow models that you will register in WS1. You need to identify the...
MLflowResponsible AIModel Registrationscikit-learn - Question #438Explore 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...
AutoMLImage ClassificationEvaluation MetricsClassification Metrics - Question #439Explore 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...
Image ClassificationAutomated Machine LearningEvaluation MetricsAccuracy - Question #442Explore data and run experiments
Drag and Drop Question You create an Azure Machine Learning workspace. You are training a classification model with no-code AutoML in Azure Machine Learning studio. The model must...
Azure Machine Learning StudioAutoMLModel InterpretabilityFeature Importance - Question #448Explore data and run experiments
Drag and Drop Question You have an Azure Machine Learning workspace. You are running an experiment on your local computer. You need to use MLflow Tracking to store metrics and arti...
MLflow TrackingAzure Machine LearningExperiment ManagementWorkspace Connection - Question #459Explore data and run experiments
Drag and Drop Question You have an Azure Machine Learning workspace. You are running an experiment on your local computer. You need to ensure that you can use MLflow Tracking with...
MLflowAzure Machine LearningExperiment TrackingPython SDK v2 - Question #462Explore data and run experiments
Drag and Drop Question You manage an Azure Machine Learning workspace named workspace1 and a Data Science Virtual Machine (DSVM) named DSMV1. You must run an experiment on DSMV1 by...
Azure Machine LearningPython SDK v2Experiment TrackingMLflow - Question #466Train and deploy models
Drag and Drop Question You manage an Azure Machine Learning workspace. You train a model named model1. You must identify the features to modify for a differing model prediction res...
Azure Machine LearningResponsible AIModel InterpretabilityRAI Dashboard - Question #473Train and deploy models
Drag and Drop Question You are designing an Azure Machine Learning solution by using the Python SDK v2. You must train and deploy the solution by using a compute target. The comput...
Azure ML Compute TargetsAzure ArcKubernetesAutoscaling - Question #475Train and deploy models
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 sho...
Compute targetsModel inferenceCost optimizationTesting - Question #476Train and deploy models
You train and publish a machine learning model. You need to run a pipeline that retrains the model based on a trigger from an external system. What should you configure?
MLOpsWorkflow AutomationExternal TriggersAzure Logic Apps - Question #477Train and deploy models
You create an Azure Machine Learning workspace. You must configure an event handler to send an email notification when data drift is detected in the workspace datasets. You must mi...
Azure Machine LearningData DriftEvent HandlingLogic Apps - Question #478Train 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 PipelinesPipeline CachingPythonScriptStepallow_reuse parameter - Question #479Explore 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 PipelinesPipeline CachingPipeline Execution ControlExperiment Management - Question #480Explore 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 PipelinesPipeline CachingData ProcessingPythonScriptStep - Question #481Train and deploy models
You create an MLflow model. You must deploy the model to Azure Machine Learning for batch inference. You need to create the batch deployment. Which two components should you use? E...
Azure Machine LearningMLflowBatch InferenceModel Deployment - Question #482Explore data and run experiments
You create an Azure Machine Learning workspace. The workspace contains a dataset named sample_dataset, a compute instance, and a compute cluster. You must create a two-stage pipeli...
Azure Machine Learning PipelinesDatastoresPipeline Data TransferIntermediate Outputs - Question #483Explore data and run experiments
You create an Azure Machine Learning workspace. You use Azure Machine Learning designer to create a pipeline within the workspace. You need to submit a pipeline run from the design...
Azure Machine Learning DesignerML PipelinesCompute TargetsPipeline Run - Question #484Train 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 DeploymentOnline EndpointsAuthentication - Question #485Train 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 DeploymentOnline EndpointsAuthentication - Question #486Train 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 DeploymentOnline EndpointsAuthentication - Question #487Train and deploy models
You use the Azure Machine Learning SDK v2 for Python and notebooks to train a model. You use Python code to create a compute target, an environment, and a training script. You need...
Azure Machine Learning SDK v2Training jobCommand jobPython SDK - Question #488Train and deploy models
You manage an Azure Machine Learning workspace. You build a custom model you must log with MLflow. The custom model includes the following: - The model is not natively supported by...
MLflowCustom ModelsModel LoggingModel Flavors - Question #489Explore data and run experiments
You create an Azure Machine Learning workspace. You must use the Python SDK v2 to implement an experiment from a Jupyter notebook in the workspace. The experiment must log string m...
Azure Machine LearningMLflowExperiment TrackingLogging Metrics - Question #490Train and deploy models
You manage an Azure Machine Learning workspace. You develop a machine learning model. You must deploy the model to use a low-priority VM with a pricing discount. You need to deploy...
Model deploymentAzure ML compute targetsLow-priority VMsCost optimization - Question #491Train 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 deploymentOnline endpointsAuthentication methodsKubernetes endpoints - Question #492Train and deploy models
You manage an Azure Machine Learning workspace. You must provide explanations for the behavior of the models with feature importance measures. You need to configure a Responsible A...
Azure Machine LearningResponsible AIModel InterpretabilityFeature Importance - Question #493Explore data and run experiments
You create an Azure Machine Learning workspace. You must use the Python SDK v2 to implement an experiment from a Jupyter notebook in the workspace. The experiment must log a list o...
Azure Machine LearningMLflowExperiment TrackingLogging Metrics - Question #494Explore data and run experiments
You run Azure Machine Learning training experiments. The training scripts directory contains 100 files that includes a file named .amlignore. The directory also contains subdirecto...
Azure Machine LearningExperiment snapshotsFile exclusion.amlignore - Question #495Train and deploy models
You build a data pipeline in an Azure Machine Learning workspace by using the Azure Machine Learning SDK for Python. You need to run a Python script as a pipeline step. Which two c...
Azure Machine Learning pipelinesPython SDKPythonScriptStepCommandStep