Microsoft MB-260 Exam Topics

Microsoft MB-260 Exam Overview :

Exam Name:	Microsoft Dynamics 365 Customer Insights (Data) Specialist
Exam Code:	MB-260
Certifications:	Microsoft Dynamics 365 Certification
Exam Registration Price:	$165
See Expected Questions:	Microsoft MB-260 Expected Questions in Actual Exam

Microsoft MB-260 Exam Objectives :

Section	Weight	Objectives
Design Customer Insights solutions	5-10%	Describe Customer Insights describe audience insights components, including entities, relationships, activities, measures, and segments analyze Customer Insights data by using Azure Synapse Analytics describe the process for consuming engagement insights data in audience insights describe support for near real-time updates describe support for enrichment Describe use cases for Customer Insights describe use cases for audience insights differentiate between audience insights and engagement insights describe use cases for creating reports by using Customer Insights describe use cases for extending Customer Insights by using Microsoft Power Platform components describe use cases for Customer Insights APIs
Ingest data into Customer Insights	10-15%	Connect to data sources determine which data sources to use determine whether to use the managed data lake or an organization’s data lake connect to Microsoft Dataverse connect to Common Data Model folders ingest data from Azure Synapse Analytics ingest data by using Azure Data Factory pipelines Transform, cleanse, and load data by using Power Query select tables and columns resolve data inconsistencies, unexpected or null values, and data quality issues evaluate and transform column data types apply data shape transformations to tables Configure incremental refreshes for data sources identify data sources that support incremental updates identify capabilities and limitations for scheduled refreshes configure scheduled refreshes and on-demand refreshes trigger refreshes by using Power Automate or the Customer Insights API
Create customer profiles by unifying data	20-25%	Implement mapping ? select Customer Insights entities and attributes for matching ? select attribute types Implement matching ? specify a match order for entities ? define match rules ? configure normalization options ? differentiate between low, medium, high, exact, and custom precision methods ? configure deduplication ? run a match process and review results Implement merges ? specify the order of fields for merged tables ? combine fields into a merged field ? separate fields from a merged field ? exclude fields from a merge ? run a merge and review results Configure search and filter indexes ? define which fields should be searchable ? define filter options for fields ? define indexes Configure relationships and activities ? create and manage relationships ? create activities by using a new or existing relationship ? manage activities
Implement AI predictions in Customer Insights	10-15%	Configure prediction models configure and evaluate the customer churn models, including the transactional churn and subscription churn models configure and evaluate the product recommendation model configure and evaluate the customer lifetime value model Impute missing values by using predictions describe processes for predicting missing values implement the missing values feature Implement machine learning models describe prerequisites for using custom Azure Machine Learning models in Customer Insights implement workflows that consume machine learning models manage workflows for custom machine learning models
Configure measures and segments	15-20%	Create and manage measures describe the different types of measures create a measure create a measure by using a template configure measure calculations modify dimensions Create segments describe methods for creating segments, including blank segments create a segment from customer profiles, measures, or AI predictions find similar customers Find suggested segments describe how the system suggests segments for use create a segment from a suggestion configure refreshes for suggestions Create segment insights configure overlap segments configure differentiated segments analyze insights
Configure third-party connections	10-15%	Configure connections and exports configure a connection for exporting data create a data export schedule a data export Export data to Dynamics 365 Marketing or Dynamics 365 Sales identify prerequisites for exporting data from Customer Insights create connections between Customer Insights and Dynamics 365 apps define which segments to export export a Customer Insights segment into Dynamics 365 Marketing as a marketing segment export a Customer Insights profile into Dynamics 365 Marketing for customer journey orchestration export a Customer Insights segment into Dynamics 365 Sales as a marketing list Display Customer Insights data from within Dynamics 365 apps identify Customer Insights data that can be displayed within Dynamics 365 apps configure the Customer Card Add-in for Dynamics 365 apps identify permissions required to implement the Customer Card Add-in for Dynamics 365 apps
Administer Customer Insights	5-10%	Create and configure environments identify who can create environments differentiate trial and production environments manage existing environments describe available roles configure user permissions and guest user permissions Manage system refreshes differentiate between system refreshes and data source refreshes describe refresh policies configure a system refresh schedule monitor and troubleshoot refreshes
Official Information		https://docs.microsoft.com/en-us/learn/certifications/exams/mb-260

Updates in the Microsoft MB-260 Exam Topics:

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