DP-100 Exam Questions
402 real DP-100 exam questions with expert-verified answers and explanations. Page 8 of 9.
- Question #496Train and deploy models
You have an Azure Machine Learning workspace. You plan to run a job to train a model as an MLflow model output. You need to specify the output mode of the MLflow model. Which three...
Azure ML JobsMLflow IntegrationOutput ModesModel Training - Question #497Design 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 LearningJupyter NotebooksEnvironmentsCompute Instances - Question #498Explore 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 LearningJupyter KernelsCompute InstanceEnvironment Management - Question #499Explore 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...
Jupyter kernelsAzure Machine Learning StudioNotebook environmentsKernel management - Question #500Train 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...
Azure Machine LearningModel DeploymentOnline EndpointsScoring Script - Question #501Design 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 LearningCompute InstanceJupyter KernelTerminal Session - Question #506Train and deploy models
Drag and Drop Question You have an Azure Machine Learning workspace that contains a training cluster and an inference cluster. You plan to create a classification model by using th...
Azure ML DesignerModel DeploymentReal-time InferenceWeb Service Endpoint - Question #507Train and deploy models
Drag and Drop Question You are developing a machine learning solution by using the Azure Machine Learning designer. You need to create a web service that applications can use to su...
Azure ML designerWeb service deploymentReal-time inferencingML pipelines - Question #509Explore 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 LearningAutoMLModel Training WorkflowData Profiling - Question #510Train and deploy models
Drag and Drop Question You have the following environment: - a Microsoft Entra ID service - a GitHub repository named Repo1 that stores the source code for training a model - an Az...
GitHub ActionsAzure Machine Learning WorkflowsContinuous IntegrationService Principal - Question #511Design and prepare a machine learning solution
You manage an Azure Machine Learning workspace named workspace1. You plan to author custom pipeline components by using Azure Machine Learning Python SDK v2. You must transform the...
Azure ML pipelinesCustom componentsPython SDK v2mldesigner library - Question #512Design and prepare a machine learning solution
You have an Azure AI Foundry project and a CSV file stored in Azure Blob Storage. You plan to add the CSV file as the grounding data to the project for RAG by using the file data t...
Azure AI FoundryRAGAzure Blob StorageURL Schema - Question #513Train and deploy models
You are designing an Azure Machine Learning solution for traffic optimization. The model must be deployed as a web service on a serverless compute and provide real-time predictions...
Azure Machine LearningOnline EndpointsReal-time InferenceServerless Compute - Question #514Explore data and run experiments
You manage an Azure Machine Learning workspace. You build an image recognition training pipeline, which includes hyperparameter tuning. For each epoch run, you plan to log the foll...
MLflowExperiment LoggingHyperparameter TuningAzure Machine Learning - Question #517Train and deploy models
You have an Azure subscription named Sub1 that contains an Azure Machine Learning workspace named Workspace1. Workspace1 contains the following assets: - a registered MLflow model...
Azure Machine LearningOnline EndpointsPrivate EndpointModel Deployment - Question #518Explore data and run experiments
Drag and Drop Question You design a project for interactive data wrangling with Apache Spark in an Azure Machine Learning workspace. The data pipeline must provide the following so...
Azure Machine LearningApache SparkCompute OptionsData Wrangling - Question #521Explore data and run experiments
Drag and Drop Question You are managing an Azure Machine Learning workspace. You must tune a hyperparameter for a neural network model. The learning rate must be a continuous hyper...
Hyperparameter TuningAzure Machine LearningSearch Space DefinitionNeural Networks - Question #522Explore data, and run experiments
You have an Azure Machine Learning workspace. You are configuring logging for metrics by using MLflow during a model training job run in the workspace. One metric has a Boolean val...
MLflowMetric LoggingAzure Machine LearningData Type Conversion - Question #523Explore data and run experiments
You have an Azure Machine Learning workspace. You plan to implement automated hyperparameter tuning for model training in the workspace. You need to select the sweep jobs parameter...
Hyperparameter TuningAzure Machine LearningSweep JobsSobol Sampling - Question #524Optimize language models for AI applications
Drag and Drop Question You manage an Azure Al Foundry project. You fine-tune the base model. During evaluation, you observe that the model is overfitting and its responses are high...
Hyperparameter tuningOverfittingModel fine-tuningGenerative AI - Question #525Optimize language models for AI applications
You have fine-tuned an Azure OpenAI Service model by using the Azure AI Foundry portal. The fine-tuned model is overfitting. You plan to correct overfitting by fine-tuning the mode...
Azure OpenAI Fine-tuningOverfittingHyperparameter TuningLearning Rate - Question #530Train and deploy models
Drag and Drop Question You manage an Azure Machine Learning workspace. You build automated machine learning training experiments for computer vision models. You need to use a prima...
Azure Machine LearningComputer VisionModel Evaluation MetricsHyperparameter Tuning - Question #533Design and prepare a machine learning solution
You have an Azure Machine Learning workspace. You plan to use automated machine learning in the workspace to train a natural language processing model for multi-class classificatio...
Azure MLAutoMLNLPData Format - Question #535Design and prepare a machine learning solution
You manage an Azure Machine Learning workspace. You also manage an Azure Blob Storage as a connected data asset. You are creating a photo sharing application in the workspace. When...
ServerlessEvent-driven architectureAzure FunctionsEvent Grid - Question #536Train and deploy models
You manage an Azure Machine Learning workspace. You build an Azure Machine Learning pipeline for image classification by using custom components. You need to define the interface,...
Azure Machine LearningML PipelinesCustom ComponentsPython SDK - Question #537Optimize language models for AI applications
You have a deployment of an Azure OpenAI Service base model. You plan to fine-tune the model. You need to prepare a file that contains training data. Which file format should you u...
Azure OpenAIFine-tuningTraining dataJSONL - Question #538Optimize language models for AI applications
You have a deployment of an Azure OpenAI Service base model. You plan to fine-tune the model. You need to prepare a file that contains training data for multi-turn chat. Which file...
Azure OpenAI ServiceFine-tuningData preparationText encoding - Question #539Explore data and run experiments
You manage an Azure Machine Learning workspace. You develop a regression model training pipeline by using Notebooks. You need to determine the appropriate evaluation metric for the...
Regression modelsEvaluation metricsAzure Machine LearningExperimentation - Question #540Train and deploy models
Drag and Drop Question You build and manage a model by using Azure Machine Learning workspace. Before you deploy the model, you must create a Responsible AI dashboard in Azure Mach...
Responsible AIAzure Machine LearningCausal InferenceCounterfactual Explanations - Question #541Train and deploy models
You manage an Azure Machine Learning workspace using Python SDK v2. You develop a model that must be retrained once a week. You need to create a time-based schedule with a recurren...
Azure Machine LearningSchedulingModel RetrainingPython SDK v2 - Question #542Train 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 LearningMLflow Model DeploymentOnline EndpointsNetwork Security - Question #544Explore data and run experiments
You manage an Azure Machine Learning workspace. You configure a standalone Apache Spark job in the workspace by using Python SDK v2. You need to create the job by using an Azure Ma...
Azure Machine LearningSpark JobsPython SDK v2Serverless Compute - Question #548Optimize language models for AI applications
Drag and Drop Question You manage an Azure AI Foundry project. You deploy a large language model from the model catalog. You need to manually evaluate the model, collect the statis...
LLM EvaluationManual EvaluationAzure AI FoundryEvaluation Workflow - Question #549Explore data and run experiments
You are reviewing model benchmarks in Azure AI Foundry. You must use an embedding model that can assess rank-order relevance based on cosine similarity. You need to select the appl...
Embedding modelsModel evaluationRanking metricsSpearman correlation - Question #550Optimize language models for AI applications
Drag and Drop Question You have an Azure AI Foundry project with a connected Azure OpenAI Service model and Azure AI Search resource. You also have an Azure Blob Storage resource t...
Prompt flowRAGAzure AI SearchAzure OpenAI Service - Question #551Design and prepare a machine learning solution
You manage an Azure AI Foundry project. You plan to develop a RAG solution from a set of PDF files. To achieve this, you plan to create a vector index from the data. You need to se...
RAGVector IndexingAzure AI FoundryData Storage - Question #552Optimize language models for AI applications
You are reviewing model benchmarks in Azure AI Foundry. You must use a large language model based on the proficiency of the model to generate the most linguistically correct text....
LLM evaluation metricsFluencyModel benchmarkingNatural Language Generation - Question #553Design and prepare a machine learning solution
You manage an Azure AI Foundry project. You plan to create a vector index for a RAG solution. You need to build the index remotely by using a script. Which two data sources can you...
Vector IndexRAGAzure AI SearchData Sources - Question #554Design and prepare a machine learning solution
You have an Azure AI Foundry project. You plan to use the Azure AI Foundry portal to fine-tune a base Azure OpenAI Service model that can accept both text and images as input. You...
Azure OpenAI ServiceMultimodal ModelsFine-tuningAzure AI Foundry - Question #555Explore data and run experiments
Drag and Drop Question You develop a flow for an Azure AI Foundry project. You plan to use outputs generated by running the flow to determine the following information: - the numbe...
Azure AI FoundryLLM MonitoringModel EvaluationRun Metrics - Question #556Design and prepare a machine learning solution
You manage an Azure AI Foundry project. You need to develop a solution that uses an Azure OpenAI Service model designed to support reasoning and problem solving. Which model should...
Azure OpenAI ServiceGPT-4Large Language ModelsModel Selection - Question #557Optimize language models for AI applications
Drag and Drop Question You have an Azure AI Foundry project with a connected Azure OpenAI Service model. You have a set of text files stored locally on your computer. You must set...
Retrieval Augmented Generation (RAG)Azure AI StudioPrompt FlowVector Indexing - Question #560Optimize language models for AI applications
You manage an Azure AI Foundry project. You build a multi-turn chatbot application. You plan to filter your traces to identify issues while observing how the application is respond...
Chatbot evaluationCoherence metricAzure AI FoundryMulti-turn conversation - Question #561Optimize language models for AI applications
You manage an Azure AI Foundry project. You develop a Prompt flow that includes a large language model (LLM) node and an upstream node with a single output. You need to link the LL...
Azure AI Prompt FlowLLM integrationYAML configurationNode referencing - Question #562Optimize language models for AI applications
Drag and Drop Question You develop a Prompt flow in an Azure AI Foundry project. You plan to use variants and invoke a custom API in the flow. You need to add tools to the flow tha...
Prompt FlowAzure AI StudioLLM application developmentAPI integration - Question #563Optimize language models for AI applications
Drag and Drop Question You have an Azure AI Foundry project named Project1. You are developing a web classification Prompt flow named Flow1 in Project1. The current input of Flow1...
Prompt FlowLLM IntegrationInput MappingAzure AI Studio - Question #565Optimize language models for AI applications
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...
LLM parametersGenerative AIAzure AI FoundryModel testing - Question #566Optimize language models for AI applications
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...
Large Language ModelsTemperature ParameterLLM OptimizationAzure AI Foundry - Question #567Optimize language models for AI applications
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...
Generative AI parametersLarge Language ModelsModel tuningAzure AI Studio - Question #568Optimize language models for AI applications
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...
LLM parametersGenerative AIAzure AI StudioInference configuration