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 VCEUse 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
- Describe support for near real-time updates
- Describe support for enrichment
- Describe the differences between individual profiles or business accounts
Describe use cases for Customer Insights - Describe use cases for Customer Insights
- Describe use cases for extending Customer Insights by using Microsoft Power Platform components
- Describe use cases for Customer Insights APIs
- Describe use cases for working with business accounts

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
- Attach to a Microsoft Dataverse data lake
- Attach to Azure Data Lake Storage
- Ingest and transform data using Power Query connectors
- Attach to Azure Synapse Analytics
- Describe real-time ingestion capabilities and limitations
- Describe benefits of pre-unification data enrichment
- Ingest and update data in real-time
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
- Configure incremental refresh
- Identify capabilities and limitations for scheduled refreshes
- Configure scheduled refreshes and on-demand refreshes

Create customer profiles through data unification (25-30%)

Select source fields - Select Customer Insights entities and attributes for unification
- Select attribute types
- Select the primary key
Remove duplicate records - Deduplicate enriched entities
- Define deduplication rules
- Review deduplication results
Match conditions - Specify a match order for entities
- Define match rules
- Define exceptions
- Include enriched entities in matching
- Configure normalization options
- Differentiate between basic and custom precision methods
Unify customer fields - 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
- Change the order of fields
- Rename fields
- Configure customer ID generation
- Group profiles into Clusters
Review data unification - Review and create customer profiles
- View the results of data unification
- Verify output entities from data unification
- Update the unification settings
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
- Create activities in real-time
- Manage activities
- Combine customer profiles with activity data from unknown users

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
- Configure and manage sentiment analysis
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 - Create and manage tags
- Describe the different types of measures
- Create a measure
- Create a measure by using a template
- Configure measure calculations
- Modify dimensions
Create and manage segments - Create and manage tags
- Describe methods for creating segments, including segment builder and quick segments
- Create a segment from customer profiles, measures, or AI predictions
- Create a segment based on a prediction model
- Find similar customers
- Project attributes
- Track usage of segments
- Export segments
Find suggested segments - Describe how the system suggests segments for use
- Create a segment from a suggestion
- Create a suggested segment based on activity
- Configure refreshes for suggestions
Create segment insights - Configure overlap segments
- Configure differentiated segments
- Analyze insights
- Find similar segments with AI

Configure third-party connections (10-15%)

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
- Use Customer Insights profiles and segments with real-time marketing
- 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
- View enrichment results
Use Customer Consent data - Add Consent Data to Customer Insights
- Use Consent Data

Administer Customer Insights (5-10%)

Create and configure environments - Identify who can create environments
- Differentiate between trial and production environments
- Connect Customer Insights to Microsoft Dataverse
- Connect Customer Insights with Azure Data Lake Storage Account
- Manage existing environments
- Change or claim ownership of the environment
- Reset an existing environment
- Configure user permissions
- Describe available 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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