Question # 1 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?
A. Audience insights will recommend which fields may be the most insightful to use for segment overlap analysis.
B. You can select up to three fields to analyze for overlap analysis when you create a new segment overlap
C. Audience insights will automatically select the fields for overlap analysis when you create a new segment overlap
D. You can select one or more fields to analyze for overlap analysis when you create a new segment overlap
Click for Answer
D. You can select one or more fields to analyze for overlap analysis when you create a new segment overlap
Question # 2 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 folder 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 transforming the first row to be used as headers and removing special characters and spaces from header row, defining column types to be appropriate field types, remove rows with missing primary keys, and name the query. Click “Next” and your data is now ready for unification. Does this meet the goal?
A. Yes
B. No
Click for Answer
Answer Description Reference: https://docs.microsoft.com/en-us/dynamics365/customer-insights/audienceinsights/ connect-power-query
Question # 3 You are a Customer Data Platform Specialist. Your company has audience insights set up as their Customer Data Platform solution. You transferred the management of the platform to a contractor. You want the contractor to manage the existing connections without having administrator access. Which two statements are correct about allowing contributors to use a connection for exports? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Contributors will be able to use the connection if you select them in the 'choose who can use this connection" screen.
B. Contributors will see shared connections and can manage every export that uses this specific connection.
C. Contributors will have their exports removed if their permissions are changed
D. Contributors will be able to view or edit the connection after being given permission to use the connection.
Click for Answer
A. Contributors will be able to use the connection if you select them in the 'choose who can use this connection" screen.
B. Contributors will see shared connections and can manage every export that uses this specific connection.
Question # 4 You are a Customer Data Platform Specialist. Your company uses both audience insights and Dynamics 365 Sales. To enhance the customer information within Dynamics 365, you asked the Dynamics 365 administrators to add the audience insights timeline as a Customer Card add-in control on the contact form. The Dynamics 365 administrators asked you to update the company’s Dynamics 365 user guide and explain how users can use the timeline. Which action can users perform within the added customer card add-in timeline in Dynamics 365?
A. Filter the activities on the timeline
B. Delete the activity from the timeline.
C. Edit the activity from the timeline
D. Open the activity from the timeline
E. Sort the activities on the timeline
Click for Answer
A. Filter the activities on the timeline
Question # 5 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.
Answer Description
Question # 6 You are a Customer Data Platform Specialist. You are configuring a workflow for a custom model using an Azure Machine Learning batch pipeline. Configuring this type of model requires different parameters than Machine Learning Studio (Classic) models. Which two configuration parameters are required specifically for Azure Machine Learning batch pipelines? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. Output data store path
B. Output data store parameter name
C. Web service that contains your model
D. Entity name
Click for Answer
B. Output data store parameter name
D. Entity name
Question # 7 You are a Customer Data Platform Specialist. Your company’s information technology team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with audience insights, but the team has some concerns about the suitability of their data. You need to confirm if their research about data requirements is correct. Which two statements are correct about the data characteristic requirements for configuring the CLV ML model? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
A. There should be at least two to three transactions per customer ID. preferably across multiple dates.
B. There should be at least 100.000 unique customers to perform the CLV model
C. There should be preferably two to three years of transactional data to predict CLV for one year.
D. The CLV model will not run if there is any missing data in the fields.
Click for Answer
A. There should be at least two to three transactions per customer ID. preferably across multiple dates.
C. There should be preferably two to three years of transactional data to predict CLV for one year.
Question # 8 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?
A. 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.
B. In audience insights, select Data Sources, add data source, enter "CellPhone" in the name field and click Next.
C. 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.
D. In audience insights, add data source and select Microsoft Dataverse as an import method, enter "CellPhoneloyalty" as a data source name.
Click for Answer
C. 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.
Answer Description 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
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