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MB-260 Reliable Exam Testking, MB-260 Exam Blueprint
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4/23/24 2:06 AM


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Microsoft Customer Data Platform Specialist Sample Questions (Q74-Q79):

NEW QUESTION # 74
You are a Customer Data Platform Specialist. Some of the data your company stores need to adhere to strict organization compliance and security when establishing connections and exports. Your information technology department tells you that you must use a dedicated Azure key vault with your audience insights environment to help the organization meet its compliance requirements. The dedicated key vault will be used to stage and use secrets in an organization's compliance boundary.
Which two statements are true about using audience insights and Azure Key Vault to store the secrets for each of the connections set up?
NOTE: Each correct selection is worth one point.

* A. You must have administrator role in audience insights.
* B. The key vault is in the same Azure location as the audience insights environment.
* C. The key vault must have Key Vault firewall enabled.
* D. Audience insights can write secrets or overwrite secrets into the key vault.
Answer: A,B

Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/use-azure-key-vault
Topic 1, Adventure Works
General Overview
AdventureWorks Cycles is a bicycle retailer with a few locations in the Midwest region. The AdventureWorks Cycles business model supports both in store purchases as well as online orders. In addition to offering a wide variety of bicycles, the company sells clothing, performance nutrition supplements, bicycle parts as well as bicycle fitting and repair services. The customer base varies from professional cyclists, individual leisure riders to families. The business experienced unprecedented growth of over 2000% during the pandemic bringing a total number of customers to 10,000. The company decided to invest in Microsoft Dynamics 365 Customer Insights and Dynamics 365 Sales App to unify customer data and improve sales.
Data Source
AdventureWorks Cycles uses Customer Insights to connect to data from three different sources to generate a unified customer record. The data ingestion has been done for the initial data load. There are three data sources containing customer profile data loaded to a dedicated storage account and container in the Azure Data Lake:
Loyalty data source: This data source contains customer profile information from in-store purchases.
- loyalty.member.csv: srcid (primary key), firstname, lastname, middlename, fullname, addressstreet, loyalty_email, city, zipcode, state, homephone, datecreated, timestamp
Ecommerce Data source: This data source contains customer profile information from online purchases.
- ecom.member.csv: ecid (primary key), firstname, last name, fullname, email, homephone, streetaddress, city, zip, state, datecreated, timestamp
Cycling Clubs Data Source: This data source contains customer profile information for members of Cycling clubs.
- cclubcust.csv: ccid (primary key) firstname, lastname, full_name, email, main phone, streetaddress1, city, zip_code, state, datecreated, datecreated, timestamp
The Loyalty data source contains the largest and most trusted dataset. It is considered the Primary Source followed by Ecommerce and Cycling Clubs Data Sources.
All three data sources share common customer demographics. Map, Match, and Merge (M3) rules within audience insights are applied accordingly to generate a unified customer record.
Additionally, there are three data sources that contain customer cellphone numbers for Loyalty, Ecommerce, and Cycling Club data sources that have been loaded to the Azure Data Lake but have not been ingested into audience insights.
cellPhone_loyaly.csv: srcid (primary key), cellphone
cellPhone_ec.csv: ecid (primary key), cellphone
cellPhone_cc.csv: ccid (primary key), cellphone
Pain Points
The AdventureWorks Cycles leadership team identified several pain points that need to be addressed immediately to support current growth and ensure customer satisfaction.
Lack of strategy for refreshing the customer data in the audience insights. There is a considerable effort needed to build pipelines to flow the incremental data updates into the Azure Data Lake so it can be ingested and processed in audience insights.
Customer Service reps cannot search for customers efficiently in audience insights which affects the customer satisfaction. Also, they do not have valid cell phone numbers for customers since it is not part of the profile.
The Sales team uses the Dynamics 365 Sales app but are not able to use segments generated in audience insights to generate marketing lists.
Marketing campaigns often sound redundant and inefficient as the same messaging is being sent to multiple members of the same household.
The Marketing team cannot create fully personalized communications due to missing Full Name in the unified customer record.
The test team is complaining that they do not have a dedicated UAT environment where they can test features before they are deployed to production.
Project Goals
Create a strategy to implement incremental data refresh in prod audience insights that reads data from Azure Data Lake Gen 2. In parallel configure incremental refresh in one of the non-production audience insights where all the data sources are available, loaded from Azure SQL database, through Power Query to audience insights instance. This will allow some testing of the incremental refresh functionality to be completed while the long-term strategy is being finalized.
Implement necessary changes to address the remaining pain points identified during the Leadership Team meeting.
Detailed Requirements
Pain Points
Configuring incremental refreshes for all customer data profiles as follows:
- Incremental data refresh should be configured for member tables only
- Timestamp data and time field should be used by the system to check when the record was last updated
- All three tables should be refreshed every two days
Adding additional data sources and search fields to audience insights
- Ingesting Cell phone data- the requirement is to keep the name of the date sources aligned with the design document. See section 1 for more details.
- Furthermore, to get a quick snapshot of the quality of data, data profiling should be enabled for the phone fields only
- The following fields from the unified customer record should be added to index: Last Name, Full Name, Email, Cell Phone, Street Address, DOB
Ability to use segments from the audience insights to generate marketing lists
- The Sales team needs to generate a marketing campaign based on segment of customers who have a Loyalty email. (loyalty.email)
Ability to group customer profiles into a household cluster for purpose of generating targeted marketing communication
- A household cluster is defined as customers who share Last Name, Street Address, City, Zip Code and State
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
Creating a sandbox environment that mirrors the current development environment
- Create a sandbox environment called UAT1 and copy configurations from env. "DEV1".
a. Note: there is also an exiting environment called "Dev" and it is not configured correctly and should not be copied

NEW QUESTION # 75
Your organization uses Microsoft Dynamics 365 Customer Service in its contact center.
You need to use the Customer Card Add-in to make customer profile data from Dynamics 365 Customer Insights available to contact center users. The organization wants you to follow Microsoft's best practices and recommendations.
Which three actions should you perform in sequence? To answer, move the three appropriate actions from the list of actions to the answer area. Arrange the three actions in the correct order.


Answer:

Explanation:

Explanation:


NEW QUESTION # 76
A company has Microsoft Dynamics 365 Customer Insights set up as the Customer Data Platform. The eCommerce application sends updates on customer purchases to Dynamics 365 Customer Insights through its real-time APIs. You configured eCommerce purchases to show on the customer activity timeline.
A marketing user reports that eCommerce purchases for customers seem to be disappearing from the customer activity timelines over time. The marketing user also notices that segments based on eCommerce purchases are not updating.
You need to explain why this is happening.
Which two explanations should you provide? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

* A. Real-time ingested activity updates disappear after four hours by default.
* B. Real-time ingested activities will not update segments on the new activity directly.
* C. An additional API call is required to update a segment with real-time activity data.
* D. Real-time ingested activity updates disappear after 30 days by default.
Answer: A,C

NEW QUESTION # 77
You are a Customer Data Platform Specialist. Your company operates mainly in the business-to-business (B2emoticon space.
The chief marketing officer (CMO) asks you to implement audience insights and ensure that it can handle the company's B2B scenarios and data.
Which statement is correct when considering audience insights for business accounts versus individual consumers?

* A. The out-of-the-box product recommendation prediction model is available for business accounts.
* B. Some enrichment types are available only for individual customer scenarios, while others are exclusively available for business accounts.
* C. Business accounts and individual consumers share the same audience insights environment.
* D. Data ingestion features are different for business accounts and individual customers.
Answer: B

Explanation:
Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/work-with-business-accounts

NEW QUESTION # 78
You are a Customer Data Platform Specialist. You want to add data sources that connect to data in the organization's Azure Data Lake. You need to enable data profiling for the entity within the data source while creating it.
Which three actions should you perform in sequence to meet this requirement? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.


Answer:

Explanation:

Explanation
Text Description automatically generated with low confidence

Reference:
https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-common-data-mode

NEW QUESTION # 79
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