This page was exported from Exam for engine [ http://blog.test4engine.com ] Export date:Mon Nov 18 5:51:28 2024 / +0000 GMT ___________________________________________________ Title: [Full-Version] 2023 New Preparation Guide of Microsoft MB-260 Exam [Q12-Q28] --------------------------------------------------- [Full-Version] 2023 New Preparation Guide of Microsoft MB-260 Exam MB-260 Practice Exam - 50 Unique Questions Q12. You are a Customer Data Platform Specialist. You completed all the steps in the match phase of the data unification process in the audience insights. You need to review and validate your match results.Which three metrics are available for you to validate the results? Each correct answer presents a complete solution.NOTE: Each correct selection is worth one point.  Unique matched records  Matched records only  Matched and non-matched records  Unique source records  All source records Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/match-entitiesQ13. You are a Customer Data Platform Specialist. The chief marketing officer (CMO) asked you to look at different use cases as you are implementing the Customer Insights platform.Which use case is applicable to either audience insights or engagement insights? To answer, drag the appropriate capability to the correct use case. Each capability may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.NOTE: Each correct selection is worth one point. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/engagement-insights/overviewhttps://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/overviewQ14. 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.  You must have administrator role in audience insights.  The key vault must have Key Vault firewall enabled.  The key vault is in the same Azure location as the audience insights environment.  Audience insights can write secrets or overwrite secrets into the key vault. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/use-azure-key-vaultTopic 1, Adventure WorksGeneral OverviewAdventureWorks 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 SourceAdventureWorks 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, timestampEcommerce 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, timestampCycling 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, timestampThe 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), cellphonecellPhone_ec.csv: ecid (primary key), cellphonecellPhone_cc.csv: ccid (primary key), cellphonePain PointsThe 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 GoalsCreate 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 RequirementsPain PointsConfiguring 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 daysAdding 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, DOBAbility 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 StateAdding Full Name field to the unified customer record– Full Name is a merged field with the following merging policya. loyalty.member.fullnameb. ecom.member.fullnamec. cclubcust.csv.full_nameCreating 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 copiedQ15. You are a Customer Data Platform Specialist. Your information technology (IT) team created the customer profile records by unifying the Account, Contact, and Web Account tables. After unification was complete, the team noticed that three relationships were created automatically (CustomerToContact, CustomerToAccount and CustomerToWebAccount). The team needs to know how they can configure and update these three relationships.What feedback should you provide?  Relationships created via the unification process can be edited by those with contributor-level access.  You can edit each of the three relationships by clicking into the Relationship tab and selecting edit.  You cannot edit any of the three relationships, as they are non-editable system relationships.  Relationships created via the unification process can only be edited by those with administrator-level access. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/relationshipsQ16. You are a Customer Data Platform Specialist. Audience insights users state that they are not able to quickly find details on specific customers while searching customer profiles. You explain the index and search capabilities within audience insights.Which two statements are correct about configuring and using search and filter index capabilities? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.  You can add up to 25 custom fields to index and configure filtering for each one of the fields as an administrator.  The only fields that are available for indexing are the ones that exist in the customer profile that you created during the data unification process.  You can only add a filter for a specific field from the search and filter index page in audience insights.  Users with a contributor role can add fields on the search and filter index page in audience insights and configure how many filtered records to show. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/search-filter-indexQ17. You are a Customer Data Platform Specialist.One of the marketing users asked you to create two lists:All customers that live in Paris, FranceAll customers that have made more than ten online purchasesYou decide to create these lists as quick segments.Which two options should you use as the base in quick segments to create the required insights? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.  Measures  Enrichments  Intelligence  Profiles  Data entities Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/segment-builder#quick-segmentsQ18. You are a Customer Data Platform Specialist. You completed an initial implementation of audience insights. The marketing team wants to send a survey to customers. The survey will determine their interest in several new services that your company may begin offering.The marketing team will use a new survey website that can provide the results in a format that allows you to perform a custom SFTP import without going through the data unification process.How can you display the levels of interest a customer has in each new service to users in Dynamics 365 Sales?  Configure an export to Dynamics 365 Sales, and add the fields to the contact form.  Enable the Customer Card Add-in. and add the timeline control to the contact form.  Create a Power Bl report that queries the activity timeline, and embed it on the contact form.  Enable the Customer Card Add-in. and add the enrichment control to the contact form. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/customer-card-add-inhttps://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/enrichment-sftp-custom-importQ19. You are a Customer Data Platform Specialist. Your company implemented audience insights and Dynamics 365 Marketing. One of the data sources is the behavioral data from Dynamics 365 Marketing.You are reviewing the segment requirements with the marketing team. The marketing team wants the segments to exclude people who already received a commercial email in the last seven days. The marketing team creates segments in audience insights and Dynamics 365 Marketing.Which option is the fastest way to fulfill the requirement?  Create single dynamic segments in both audience insights and Dynamics 365 Marketing of customers who received a commercial email in the last seven days. Users can add an except rule with contacts from that segment in other individual segments.  Create audience insights and Dynamics 365 Marketing segment templates that include the rule of contacts that received a commercial email in the last seven days.  Create a single dynamic segment in audience insights of customers who received a commercial email in the last seven days. Make sure the segment is exported to Dynamics 365 Marketing. Users can add an except rule with contacts from that segment in other individual segments.  Create an audience insights quick segment that includes the rule of contacts that received a commercial email in the last seven days. Make sure the quick segment is exported to Dynamics 365 Marketing. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/export-dynamics365-marketingQ20. You are a Customer Data Platform Specialist. Your company operates mainly in the business-to-business (B2B) 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?  The out-of-the-box product recommendation prediction model is available for business accounts.  Data ingestion features are different for business accounts and individual customers.  Some enrichment types are available only for individual customer scenarios, while others are exclusively available for business accounts.  Business accounts and individual consumers share the same audience insights environment. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/work-with-business-accountsQ21. You are a Customer Data Platform Specialist. You are implementing an incremental refresh in audience insights. All the data is stored in an Azure SQL database and is ingested to audience insights using Power Query. You need to configure an incremental refresh for data sources.Which four 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. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/incremental-refresh-data-sourcesQ22. 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?  In audience insights, under Data, select Data Sources, add data source and select Azure data lake storage as an import method, enter name as “Loyalty Cell Phone’ and enter storage account name to authenticate. Repeat the steps for other tables.  In audience insights, select Data Sources, add data source, enter “CellPhone” in the name field and click Next.  In audience insights, add data source and select Azure data lake storage as an import method, enter “cellPhoneJoyalty1 as a data source name, and then enter the container name and method to authenticate. Repeat the same steps for other tables.  In audience insights, add data source and select Microsoft Dataverse as an import method, enter “CellPhoneloyalty” as a data source name. 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), cellphoneReference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-queryQ23. 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 already ingested a CSV file with column names in the first row into audience insights. You are asked to clean and transform the data to get it ready for unification.What can you do to satisfy the requirements?Solution: Clean the data by removing any rows with nulls and deleting any leading zeros on the primary key. Click “Next” and your data is now ready for unification.Does this meet the goal?  Yes  No Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-queryQ24. 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 already ingested a CSV file with column names in the first row into audience insights. You are asked to clean and transform the data to get it ready for unification.What can you do to satisfy the requirements?Solution: Clean the data by changing columns with numbers to integer number format, which includes fields such as price, number of purchases, and postal code. You should convert primary key to integer number field if it contains only numbers. Click “Next” and your data is now ready for unification.Does this meet the goal?  Yes  No Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/connect-power-queryQ25. You are a Customer Data Platform Specialist. You completed unification and are looking to create relevant segments for your business. You want to identify insights on fields that overlap between segments.Which statement is correct about using segment overlap?  Audience insights will recommend which fields may be the most insightful to use for segment overlap analysis.  You can select up to three fields to analyze for overlap analysis when you create a new segment overlap.  Audience insights will automatically select the fields for overlap analysis when you create a new segment overlap.  You can select one or more fields to analyze for overlap analysis when you create a new segment overlap. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/segment-insightsQ26. Your team developed and integrated a batch inferencing pipeline to audience insights. This allows for a new custom machine learning (ML) model to run and deliver new insights to your unified profiles data. Your team is manually running the custom machine learning workflows.Which statement is correct about allowing your workflow to run automatically with every scheduled refresh?  You can configure scheduled refreshes for audience insights from Azure ML where you developed the custom ML model.  Your team can set up scheduled refreshes that allow your workflow to run automatically.  Your team needs to manually trigger your custom machine learning workflows.  Scheduled refreshes are not supported for custom machine learning models that are connected to audience insights. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/custom-modelshttps://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/system#schedule-tabQ27. You are a Customer Data Platform Specialist. Your company uses audience insights as their Customer Data Platform.The marketing team wants to know the total amount the customer has spent. The order lines are linked to a profile as part of the point-of-sale data source and through their loyalty ID.Which five actions should you perform in sequence to create this insight? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/measures?tabs=b2cQ28. You are a Customer Data Platform Specialist. You are asked to create a household cluster to group profiles that share a set of demographic data points.Which three actions should you perform in sequence to configure a household cluster? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. Reference:https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/merge-entities#group-profiles-into-households-or-clusters Loading … Hit the link given below, to know more about the MB-260 Exam Official link to the MB-260 Exam   Latest Questions MB-260 Guide to Prepare Free Practice Tests: https://www.test4engine.com/MB-260_exam-latest-braindumps.html --------------------------------------------------- Images: https://blog.test4engine.com/wp-content/plugins/watu/loading.gif https://blog.test4engine.com/wp-content/plugins/watu/loading.gif --------------------------------------------------- --------------------------------------------------- Post date: 2023-02-03 13:50:46 Post date GMT: 2023-02-03 13:50:46 Post modified date: 2023-02-03 13:50:46 Post modified date GMT: 2023-02-03 13:50:46