Description

Discover tips and practical study strategies in preparation for the Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure certification exam.

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Syllabus

Syllabus IntroductionTips for the Azure DP-100 examDP-100 overviewWhat you should know1. Creating Machine Learning ModelsCreate machine learning models: Domain overviewData exploration and analysis using PythonWhat are machine learning models?Understanding the types of machine learning modelsMachine learning model training and evaluation2. Using Visual Tools to Create Machine Learning Models with Azure Machine LearningML model creation with visual tools: Domain overviewUnderstanding automated machine learningUnderstanding Azure Machine Learning designerTrain and evaluate models with Azure Machine Learning designer3. Building and Operating Machine Learning Solutions with Azure Machine LearningML solutions with Azure Machine Learning: Domain overviewIntroduction to the Azure Machine Learning SDKWorking with data in Azure Machine LearningTraining a machine learning modelMachine learning at scaleUnderstanding hyperparametersUnderstanding privacy and ethics in Azure Machine LearningUnderstanding model predictionsMonitoring and security in Azure Machine Learning4. Building and Operating Machine Learning Solutions with Azure DatabricksML solutions with Azure Databricks: Domain overviewIntroduction to Azure DatabricksPreparing and working with dataTraining, managing, and deploying models in Azure DatabricksTracking experiments in Azure DatabricksTuning hyperparameters in Azure DatabricksDistributed deep learningConclusionAdditional resources for DP-100 preparationTips for exam day Read more