Microsoft Customer Data Platform Specialty (MB-260)

In this module, you will learn to:

• Describe the value of a customer data platform
• Describe the functionality of Dynamics 365 Customer Insights
• Administer environments and users in Dynamics 365 Customer Insights

Lab: Verify environment

In this module, you will learn to:

• Perform data transformation and import data using Power Query
• Connect to Microsoft Dataverse and Common Data Model sources
• Set up data refreshes

Lab: Ingest data

In this module, you will learn to:

• Map data, including using intelligent mapping, primary keys, and attribute types
• Match data, including specifying order, rules, conditions, and deduplication
• Merge data using system recommendations or manually
• Configure search and filter indexes
• Search for customers

Lab: Unify the data

In this module, you will learn to:

• Explore Audience insights
• Define activities
• Define relationships
• Create measures from scratch or use a template
• Manage segments and get suggested segments

Lab: Work with activities

Lab: Define measures

Lab: Create segments

In this module, you will learn to:

• Identify the different options for data enrichment
• Enrich their customer data
• Define predictions
• Predict subscription churn
• Use machine learning models
• Describe responsible AI principles

Lab: Subscription Churn Model

Lab: Predictions

Lab: Enrich data

In this module, you will learn to:

• Export Customer Insights data
• Surface Customer Insights data in Dynamics 365
• Use Customer Insights with Power Apps, Power Automate, and Power BI
• Use Customer Insights with Azure Synapse Analytics
• Understand use cases for Customer Insights APIs

Lab: Extend with the Power Platform

Lab: Extend with the Dynamics 365 apps