Handsome Savings - Limited Time Offer 30% OFF - Ends In 0d 0h 0m 0s Coupon code: 30OFF
Welcome to QA4Exam
Logo

- Trusted Worldwide Questions & Answers

Microsoft MB-260 Exam

Microsoft Customer Data Platform Specialist

Last Updated: Jul 2, 2024
qa 118

118 Questions and Answers for the Microsoft MB-260 exam

qa 458

Students Passed the "Microsoft MB-260" exam

qa 95.1%

Average score during Real Exams at the Testing Centre

Microsoft Customer Data Platform Specialist Syllabus
  • Describe the process for consuming engagement insights data in audience insights/ Describe use cases for audience insights
  • Differentiate between low, medium, high, exact, and custom precision methods/ Analyze Customer Insights data by using Azure Synapse Analytics
  • Differentiate between system refreshes and data source refreshes/ Describe use cases for creating reports by using Customer Insights
  • Select Customer Insights entities and attributes for matching/ Resolve data inconsistencies, unexpected or null values, and data quality issues
  • Trigger refreshes by using Power Automate or the Customer Insights API/ Determine whether to use the managed data lake or an organization?s data lake
  • Identify capabilities and limitations for scheduled refreshes/ Describe use cases for extending Customer Insights by using Microsoft Power Platform components
  • Create activities by using a new or existing relationship/ Differentiate between audience insights and engagement insights
  • Configure scheduled refreshes and on-demand refreshes/ Describe use cases for Customer Insights APIs
  • Identify data sources that support incremental updates/ Configure and evaluate the customer churn models, including the transactional churn and subscription churn models
  • describe prerequisites for using custom Azure Machine Learning models in Customer Insights/ Describe methods for creating segments, including blank segments
  • Identify permissions required to implement the Customer Card Add-in for Dynamics 365 apps/ Create a segment from customer profiles, measures, or AI predictions
  • Differentiate trial and production environments/ Configure and evaluate the product recommendation model
  • Display Customer Insights data from within Dynamics 365 apps/ Transform, cleanse, and load data by using Power Query