Practice Exams | MS Azure DP-100 Design & Implement DS Sol

Be prepared for the MS Azure Exam DP-100: Designing and Implementing a Data Science Solution on Azure

Created by: Wade Henderson
Sr IT Project Manager

What Will I Learn?

• Exam DP-100: Designing and Implementing a Data Science Solution on Azure
• Set up an Azure Machine Learning workspace
• Create an Azure Machine Learning workspace
• Manage data objects in an Azure Machine Learning workspace
• Manage experiment compute contexts
• Run Experiments and Train Models
• Run training scripts in an Azure Machine Learning workspace
• Generate metrics from an experiment run
• Automate the model training process
• Optimize and Manage Models
• Use Automated ML to create optimal models
• Use Hyperdrive to tune hyperparameters
• Use model explainers to interpret models
• Manage models
• Deploy and Consume Models
• Create production compute targets
• Deploy a model as a service
• Create a pipeline for batch inferencing
• Publish a designer pipeline as a web service

Requirements

• A candidate for this certification should have knowledge and experience in data science and using Azure Machine Learning and Azure Databricks.

Target audience

• Microsoft Azure professionals who want to be Microsoft DP-100 certified