Microsoft Customer Data Platform Specialist Exam Syllabus

Customer Data Platform Specialist PDF, MB-260 Dumps, MB-260 PDF, Customer Data Platform Specialist VCE, MB-260 Questions PDF, Microsoft MB-260 VCE, Microsoft Customer Data Platform Specialist Dumps, Microsoft Customer Data Platform Specialist PDFUse this quick start guide to collect all the information about Microsoft Customer Data Platform Specialist (MB-260) Certification exam. This study guide provides a list of objectives and resources that will help you prepare for items on the MB-260 Microsoft Customer Data Platform Specialist exam. The Sample Questions will help you identify the type and difficulty level of the questions and the Practice Exams will make you familiar with the format and environment of an exam. You should refer this guide carefully before attempting your actual Microsoft Customer Data Platform Specialist certification exam.

The Microsoft Customer Data Platform Specialist certification is mainly targeted to those candidates who want to build their career in Microsoft Dynamics 365 domain. The Microsoft Certified - Customer Data Platform Specialty exam verifies that the candidate possesses the fundamental knowledge and proven skills in the area of Microsoft Customer Data Platform Specialist.

Microsoft Customer Data Platform Specialist Exam Summary:

Exam Name Microsoft Certified - Customer Data Platform Specialty
Exam Code MB-260
Exam Price $165 (USD)
Duration 120 mins
Number of Questions 40-60
Passing Score 700 / 1000
Books / Training Course MB-260T00: Microsoft Customer Data Platform Specialty
Schedule Exam Pearson VUE
Sample Questions Microsoft Customer Data Platform Specialist Sample Questions
Practice Exam Microsoft MB-260 Certification Practice Exam

Microsoft MB-260 Exam Syllabus Topics:

Topic Details

Design Customer Insights solutions (5-10%)

Describe Customer Insights - describe Customer Insights components, including entities, relationships, activities, measures, and segments
- analyze Customer Insights data by using Azure Synapse Analytics
- describe support for near real-time updates
- describe support for enrichment
Describe use cases for Customer Insights - describe use cases for Customer 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 (15-20%)

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
- connect to data sources by using Power Query connectors
- ingest data from Azure Synapse Analytics
- ingest data by using Azure Data Factory pipelines
- describe real-time ingestion capabilities and limitations
- describe benefits of pre-unification data enrichment
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
- select the primary key
Implement matching - specify a match order for entities
- define match rules
- define custom match rules
- include enriched entities
- 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
- combine a group of fields
- separate fields from a merged field
- exclude fields from a merge
- group profiles
- configure customer ID generation
- 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 (5-10%)

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
- create a customer segment based on prediction model
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 (15-20%)

Configure connections and exports - configure a connection for exporting data
- create a data export
- define types of exports
- configure on demand and scheduled data exports
- define the limitations of segment exports
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
Implement Data Enrichment - enrich customer profiles
- configure and manage enrichments
- enrich data sources before unification
Implement Consent Management - describe the capabilities of Consent Management
- import and manage consent data
- manage settings and users
- use consent data

Administer Customer Insights (5-10%)

Create and configure environments - identify who can create environments
- differentiate trial and production environments
- manage existing environments
- describe available user permissions
- 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
Create and manage connections - describe when connections are used
- configure and manage connections

To ensure success in Microsoft Customer Data Platform Specialist certification exam, we recommend authorized training course, practice test and hands-on experience to prepare for Microsoft Customer Data Platform Specialist (MB-260) exam.

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