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Microsoft MB-260 Exam
- Topic 1: Describe the process for consuming engagement insights data in audience insights/ Describe use cases for audience insights
- Topic 2: Differentiate between low, medium, high, exact, and custom precision methods/ Analyze Customer Insights data by using Azure Synapse Analytics
- Topic 3: Differentiate between system refreshes and data source refreshes/ Describe use cases for creating reports by using Customer Insights
- Topic 4: Select Customer Insights entities and attributes for matching/ Resolve data inconsistencies, unexpected or null values, and data quality issues
- Topic 5: 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
- Topic 6: Identify capabilities and limitations for scheduled refreshes/ Describe use cases for extending Customer Insights by using Microsoft Power Platform components
- Topic 7: Create activities by using a new or existing relationship/ Differentiate between audience insights and engagement insights
- Topic 8: Configure scheduled refreshes and on-demand refreshes/ Describe use cases for Customer Insights APIs
- Topic 9: Identify data sources that support incremental updates/ Configure and evaluate the customer churn models, including the transactional churn and subscription churn models
- Topic 10: describe prerequisites for using custom Azure Machine Learning models in Customer Insights/ Describe methods for creating segments, including blank segments
- Topic 11: Identify permissions required to implement the Customer Card Add-in for Dynamics 365 apps/ Create a segment from customer profiles, measures, or AI predictions
- Topic 12: Differentiate trial and production environments/ Configure and evaluate the product recommendation model
- Topic 13: Display Customer Insights data from within Dynamics 365 apps/ Transform, cleanse, and load data by using Power Query
Free Microsoft MB-260 Exam Actual Questions
The questions for MB-260 were last updated On Sep. 19, 2023
You are a Customer Data Platform Specialist. The marketing team requested that customer cellphone numbers be added to the customer profile in audience insights. The customer cellphone numbers are stored in a separate table in the Azure Gen 2 Storage Account.
You decide to create the data source(s) needed in audience insights.
Which statements best describes the steps needed to ingest the required data to audience insights?
There are three data sources containing customer profile data loaded to a dedicated storage account and container in the Azure Data Lake.
Ingesting Cell phone data- the requirement is to keep the name of the date sources aligned with the design document.
cellPhone_loyaly.csv: srcid (primary key), cellphone
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-query
You are a Customer Data Platform Specialist. The marketing team wants to send personalized marketing emails to customers, but the customer FullName attribute has not been correctly populated as part of the profile unification process.
You update the Map process to include the loyalty.member.fullname, ecom.member.fullname, and cclubcust.member.full_name fields. Then, you map the fields to the Person.FullName semantic type. Audience insights automatically merges these fields into the FullName attribute on the Merge page.
What action should you perform to make sure the merged FullName field contains the most trusted data available?
Adding Full Name field to the unified customer record
Full Name is a merged field with the following merging policy
a. loyalty.member.fullname
b. ecom.member.fullname
c. cclubcust.csv.full_name
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/merge-entities
You are a Customer Data Platform Specialist. Dynamics 365 Customer Insights (CI) users have complained that they are not able to quickly find customers using main demographic data points. You must ensure users are able to search customers using any of the available fields.
Which two statements define the actions that should be completed to satisfy this requirement? Each option represents a partial solution.
NOTE: Each correct selection is worth one point.
The following fields from the unified customer record should be added to index: Last Name, Full Name, Email, Cell Phone, Street Address, DOB.
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/search-filter-index
You are a Customer Data Platform Specialist. Your organization is using Power Query when connecting to Data Sources in audience insights. You need to load eCommerce Contacts to audience insights.
Which statement about loading data to audience insights using Power Query is correct?
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
You are a Customer Data Platform Specialist. Your company's information technology department (IT) has a CSV file stored on one of their Shared Documents folders within their SharePoint sites which they have ingested into audience insights. The file contains a row header with some special characters, columns of different types (quantities, prices, etc.), and some rows with a high proportion of nulls and missing primary keys. You have been asked to clean and transform the data in audience insights to be ready for unification.
What should you do?
Solution: Clean the data by removing any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Click ''Next'' and your data is now ready for unification.
Does this meet the goal?
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