Microsoft Certified: Customer Data Platform Specialty
As a candidate for this certification, you should have firsthand experience with Dynamics 365 Customer Insights, Power Query, Microsoft Dataverse, Common Data Model, Microsoft Power Platform and one or more additional Dynamics 365 apps. In addition, you need direct experience with practices related to privacy, compliance, consent, security, responsible AI, and data retention policy.
You also need experience with processes related to KPIs, data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement. You should have a general understanding of Azure Machine Learning, Azure Synapse Analytics, and Azure Data Factory.
Skills measured
- This list contains the skills measured on the exam associated with this certification. For detailed information, see the associated exam details page and download the exam skills outline.
- Design Customer Insights solutions
- Ingest data into Customer Insights
- Create customer profiles by unifying data
- Implement AI predictions in Customer Insights
- Configure measures and segments
- Configure third-party connections
- Administer Customer Insights
Course Outline
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
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
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
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
Configure relationships and activities
- create and manage relationships
- create activities by using a new or existing relationship
- manage activities
Configure prediction models
- configure and evaluate the customer churn models, including the transactional churnand subscription churn models
- configure and evaluate the product recommendation model
- configure and evaluate the customer lifetime value model
Create segments
- describe methods for creating segments, including blank segments
- create a segment from customer profiles, measures, or AI predictions
- find similar customers
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
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 refreshe
- describe refresh policies
- configure a system refresh schedul
- monitor and troubleshoot refreshes
About The Exam
This exam measures your ability to accomplish the following technical tasks: design Customer Insights solutions; ingest data into Customer Insights; create customer profiles by unifying data; implement artificial intelligence predictions in Customer Insights; configure measures and segments; configure third-party connections; and administer Customer Insights.
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- Online Classes – Live Virtual Class (L.V.C), Online Training
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