DP-100 Exam Questions
402 real DP-100 exam questions with expert-verified answers and explanations. Page 1 of 9.
- Question #2Design and prepare a machine learning solution
You need to implement a scaling strategy for the local penalty detection data. Which normalization type should you use?
Data PreprocessingNormalizationBatch NormalizationScaling - Question #3Design and prepare a machine learning solution
You need to implement a model development strategy to determine a user's tendency to respond to an ad. Which technique should you use?
Data PartitioningAzure Machine Learning ModulesRelative Expression SplitCentroid Distance - Question #4Train and deploy models
You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit. Which technique should you use?
Model MonitoringClassification ThresholdsPerformance MetricsModel Retraining - Question #6Train and deploy models
Drag and Drop Question You need to define an evaluation strategy for the crowd sentiment models. Which three actions should you perform in sequence? To answer, move the appropriate...
model evaluationevaluation strategysentiment analysismachine learning lifecycle - Question #7Design and prepare a machine learning solution
Drag and Drop Question You need to define a modeling strategy for ad response. Which three actions should you perform in sequence? To answer, move the appropriate actions from the...
Modeling StrategyML Solution DesignML Project Workflow - Question #8Design and prepare a machine learning solution
Drag and Drop Question You need to define an evaluation strategy for the crowd sentiment models. Which three actions should you perform in sequence? To answer, move the appropriate...
Model EvaluationEvaluation StrategySentiment AnalysisMachine Learning Models - Question #9Train and deploy models
You need to resolve the local machine learning pipeline performance issue. What should you do?
Machine Learning PerformanceGPU AccelerationHardware OptimizationModel Training - Question #10Design and prepare a machine learning solution
You need to select an environment that will meet the business and data requirements. Which environment should you use?
Machine Learning EnvironmentsMicrosoft ML OfferingsSolution ArchitectureEnterprise ML - Question #11Explore data and run experiments
Drag and Drop Question You need to modify the inputs for the global penalty event model to address the bias and variance issue. Which three actions should you perform in sequence?...
Bias-Variance Trade-offFeature EngineeringData PreparationModel Optimization - Question #12Design and prepare a machine learning solution
Drag and Drop Question You need to define a process for penalty event detection. Which three actions should you perform in sequence? To answer, move the appropriate actions from th...
ML workflowSolution designProcess definitionProblem framing - Question #14Explore data and run experiments
You need to select a feature extraction method. Which method should you use?
Feature SelectionKendall CorrelationData PreprocessingMachine Learning Fundamentals - Question #16Train and deploy models
Drag and Drop Question You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements. Which three modules should you recom...
Data visualizationModel evaluationAzure Machine LearningML Workflow - Question #19Train and deploy models
Drag and Drop Question You need to implement an early stopping criteria policy for model training. Which three code segments should you use to develop the solution? To answer, move...
Early stoppingModel trainingAzure Machine LearningExperimentation - Question #23Train and deploy models
Drag and Drop Question 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...
Model fit issuesOverfittingUnderfittingModel optimization - Question #24Explore data and run experiments
Drag and Drop Question You need to visually identify whether outliers exist in the Age column and quantify the outliers before the outliers are removed. Which three Azure Machine L...
Outlier detectionData preprocessingAzure Machine LearningData exploration - Question #25Explore data and run experiments
You plan to deliver a hands-on workshop to several students. The workshop will focus on creating data visualizations using Python. Each student will use a device that has internet...
Azure NotebooksJupyter environmentsPython developmentCloud development environment - Question #26Design 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...
Missing dataData imputationMICEData cleaning - Question #27Explore 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...
Data cleaningMissing valuesDimensionalityData preprocessing - Question #28Explore 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...
Missing valuesData imputationData cleaningFeature preparation - Question #29Design 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...
Data PreprocessingNormalizationBinningAzure Machine Learning - Question #30Design 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...
Data PreprocessingFeature EngineeringAzure Machine LearningData Transformation - Question #31Explore data and run experiments
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...
k-fold cross-validationmodel evaluationcross-validation configuration - Question #32Explore data and run experiments
You use Azure Machine Learning Studio to build a machine learning experiment. You need to divide data into two distinct datasets. Which module should you use?
Azure Machine Learning StudioData SplittingData PreparationPartition and Sample module - Question #33Design and prepare a machine learning solution
You are creating a machine learning model. You have a dataset that contains null rows. You need to use the Clean Missing Data module in Azure Machine Learning Studio to identify an...
Data cleaningMissing dataAzure Machine Learning StudioData pre-processing - Question #34Design and prepare a machine learning solution
You are developing a hands-on workshop to introduce Docker for Windows to attendees. You need to ensure that workshop attendees can install Docker on their devices. Which two prere...
DockerWindowsPrerequisitesVirtualization - Question #35Design and prepare a machine learning solution
Your team is building a data engineering and data science development environment. The environment must support the following requirements: - support Python and Scala - compose dat...
Azure DatabricksAzure Data FactoryData Pipeline OrchestrationData Science Environment Design - Question #36Design and prepare a machine learning solution
You plan to build a team data science environment. Data for training models in machine learning pipelines will be over 20 GB in size. You have the following requirements: - Models...
Azure Machine Learning ServiceHybrid ML DevelopmentML Environment SelectionDeep Learning - Question #37Design and prepare a machine learning solution
You are implementing a machine learning model to predict stock prices. The model uses a PostgreSQL database and requires GPU processing. You need to create a virtual machine that i...
Azure Data Science Virtual MachineGPU computeMachine Learning InfrastructureVirtual Machines - Question #38Design and prepare a machine learning solution
You are developing deep learning models to analyze semi-structured, unstructured, and structured data types. You have the following data available for model building: - Video recor...
Azure Cognitive ServicesUnstructured Data AnalysisAI ServicesDeep Learning - Question #39Design and prepare a machine learning solution
You must store data in Azure Blob Storage to support Azure Machine Learning. You need to transfer the data into Azure Blob Storage. What are three possible ways to achieve the goal...
Azure Blob StorageData IngestionData TransferAzure Machine Learning - Question #40Explore data and run experiments
You are moving a large dataset from Azure Machine Learning Studio to a Weka environment. You need to format the data for the Weka environment. Which module should you use?
Data formatsWekaAzure Machine Learning StudioData preparation - Question #41Train 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...
Linear RegressionModel EvaluationRegression MetricsPerformance Metrics - Question #42Train 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...
RegressionClassificationEvaluation MetricsModel Evaluation - Question #43Train 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 EvaluationRegression MetricsClassification MetricsLinear Regression - Question #44Explore data and run experiments
You are a data scientist creating a linear regression model. You need to determine how closely the data fits the regression line. Which metric should you review?
Regression model evaluationCoefficient of determinationR-squaredModel performance metrics - Question #45Explore data and run experiments
You are creating a binary classification by using a two-class logistic regression model. You need to evaluate the model results for imbalance. Which evaluation metric should you us...
Model EvaluationBinary ClassificationClass ImbalanceAUC - Question #46Design and prepare a machine learning solution
You are building a machine learning model for translating English language textual content into French language textual content. You need to build and train the machine learning mo...
Neural NetworksRNNsMachine TranslationDeep Learning Architectures - Question #47Train and deploy models
You create a binary classification model. You need to evaluate the model performance. Which two metrics can you use? Each correct answer presents a complete solution. NOTE: Each co...
Model EvaluationClassification MetricsBinary ClassificationAccuracy - Question #48Train and deploy models
You use the Two-Class Neural Network module in Azure Machine Learning Studio to build a binary classification model. You use the Tune Model Hyperparameters module to tune accuracy...
Neural NetworksHyperparameter TuningAzure Machine LearningBinary Classification - Question #49Explore data and run experiments
You create a binary classification model by using Azure Machine Learning Studio. You must tune hyperparameters by performing a parameter sweep of the model. The parameter sweep mus...
Hyperparameter tuningParameter sweepAzure Machine Learning Studio - Question #50Train and deploy models
You are building a recurrent neural network to perform a binary classification. The training loss, validation loss, training accuracy, and validation accuracy of each training epoc...
OverfittingModel EvaluationTraining LossValidation Loss - Question #51Explore 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...
Feature EngineeringData TransformationAzure Machine Learning StudioBinning - Question #52Design and prepare a machine learning solution
You are building a regression model for estimating the number of calls during an event. You need to determine whether the feature values achieve the conditions to build a Poisson r...
Poisson regressionLabel dataRegression modelsCount data - Question #53Design and prepare a machine learning solution
You are performing feature engineering on a dataset. You must add a feature named CityName and populate the column value with the text London. You need to add the new feature to th...
Feature EngineeringData ManipulationAzure Machine Learning StudioData Preparation - Question #55Explore data and run experiments
Drag and Drop Question You are creating an experiment by using Azure Machine Learning Studio. You must divide the data into four subsets for evaluation. There is a high degree of m...
Azure Machine LearningData PreprocessingMissing Value ImputationData Partitioning - Question #57Explore data and run experiments
Drag and Drop Question You are analyzing a raw dataset that requires cleaning. You must perform transformations and manipulations by using Azure Machine Learning Studio. You need t...
Azure Machine LearningData PreprocessingData TransformationAzure ML Studio Modules - Question #61Design and prepare a machine learning solution
Drag and Drop Question You are building an intelligent solution using machine learning models. The environment must support the following requirements: - Data scientists must build...
Azure Machine LearningAutomated MLAzure ML ComputeMLOps - Question #64Train and deploy models
Drag and Drop Question You have a model with a large difference between the training and validation error values. You must create a new model and perform cross-validation. You need...
OverfittingCross-validationHyperparameter TuningAzure Machine Learning - Question #71Design 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...
Data cleaningMissing value imputationLOCFNumerical data processing - Question #72Explore 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...
Class ImbalanceData SamplingData PreprocessingAzure Machine Learning