Overview
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Discover tips and practical study strategies in preparation for the Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure certification exam.
Syllabus
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Introduction
- Tips for the Azure DP-100 exam
- DP-100 overview
- What you should know
- Create machine learning models: Domain overview
- Data exploration and analysis using Python
- What are machine learning models?
- Understanding the types of machine learning models
- Machine learning model training and evaluation
- ML model creation with visual tools: Domain overview
- Understanding automated machine learning
- Understanding Azure Machine Learning designer
- Train and evaluate models with Azure Machine Learning designer
- ML solutions with Azure Machine Learning: Domain overview
- Introduction to the Azure Machine Learning SDK
- Working with data in Azure Machine Learning
- Training a machine learning model
- Machine learning at scale
- Understanding hyperparameters
- Understanding privacy and ethics in Azure Machine Learning
- Understanding model predictions
- Monitoring and security in Azure Machine Learning
- ML solutions with Azure Databricks: Domain overview
- Introduction to Azure Databricks
- Preparing and working with data
- Training, managing, and deploying models in Azure Databricks
- Tracking experiments in Azure Databricks
- Tuning hyperparameters in Azure Databricks
- Distributed deep learning
- Additional resources for DP-100 preparation
- Tips for exam day
