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Microsoft Customer Data Platform Specialist (MB-260) Exam

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Microsoft Customer Data Platform Specialist (MB-260) Exam FAQs

Candidates planning to take the Microsoft Exam MB-260 for this exam possess the skills to -

  • Implement solutions that provide insights into customer profiles and that track engagement activity
  • Help improve customer experiences and increase customer retention.

This Microsoft MB-260 exam has been built to measure your ability to accomplish technical tasks including -

  • Ability to design Customer Insights solutions
  • Ability to ingest data into Customer Insights
  • Ability to create customer profiles by unifying data
  • Knowledge to implement artificial intelligence predictions in Customer Insights
  • Skills to configure measures and segments
  • Skills to configure third-party connections
  • Knowledge to administer Customer Insights.

  • Candidates are suggested to have firsthand experience with Dynamics 365 Customer Insights together with knowledge of Dynamics 365 apps, Power Query, Microsoft Dataverse, Common Data Model, and Microsoft Power Platform.
  • Direct experience with practices related to privacy, compliance, consent, security, responsible AI, and data retention policy.
  • Candidates must have experience with processes related to KPIs, data retention, validation, visualization, preparation, matching, fragmentation, segmentation, and enhancement.
  • Candidates should have a general understanding of Azure Machine Learning, Azure Synapse Analytics, and Azure Data Factory.

  • Exam Name Microsoft Customer Data Platform Specialist 
  • Exam Code MB-260
  • Exam Duration 120 mins
  • Exam Format Multiple Choice and Multi-Response Questions
  • Exam Type Cloud Computing
  • Number of Questions 40-60 Questions
  • Eligibility/Pre-Requisite NIL
  • Exam Fee $165 USD
  • Exam Language English
  • Pass Score 700 (on a scale of 1-1000)

The Microsoft Customer Data Platform Specialist (MB-260) Exam covers topics including - 

  • MODULE 1 - Design Customer Insights solutions (5-10%)
  • MODULE 2 - Ingest data into Customer Insights (10-15%)\
  • MODULE 2 - Create customer profiles by unifying data (20-25%)
  • MODULE 3 - Implement AI predictions in Customer Insights (10-15%)
  • MODULE 4 - Configure measures and segments (15-20%)
  • MODULE 5- Configure third-party connections (10-15%)
  • MODULE 6 - Administer Customer Insights (5-10%)