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Your manager asks you to delete all custom deduplications rules and create new ones for each regional data source. Customer records are considered duplicates if they contain:
1. Close match on first name,
2. Same last name.
3. Same street address, and
4. Same postal code
You need to complete the configuration of the deduplication matching conditions.
The marketing team wants to create a segment for a new email campaign to invite customers to a series of in-store events.
What should you do first?
You want to address the IT operations teams goal.
What is the first step you should take?
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.
The marketing team wants to invite cycling club customers to a new product launch webinar.
You need to ensure all necessary data is available to create a segment to target the appropriate customers.
What should you do?
You need to configure the out-of-the-box sentiment analysis model to run on survey response data.
Which two fields contain data that must be mapped to model input parameters? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
You need to implement the out-of-the-box product recommendation model to generate event recommendations for the post-purchase email.
What action must you perform to use this model?
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.
You are a Customer Data Platform Specialist. The sales team asks you for an update on its requirement to be able to create a marketing list in Dynamics 365 Sales from audience insights data.
Which validation is necessary to satisfy the sales team’s requirement?
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?
Your data analytics team wants to create a custom machine learning model to predict whether a customer will purchase a particular product.
You need to explain what is required for integrating a custom model with Microsoft Dynamics 36S Customer Insights. Which two requirements should you tell them? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
You have the contributor security role.
Your company has Microsoft Dynamics 365 Customer Insights set up as the Customer Data Platform solution. You transferred the management of the platform to a contractor.
The contractor must manage the existing connections without having administrator access.
Which two characteristics apply when using a connection for exports? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point
You are configuring data unification for a new Microsoft Dynamics 365 Customer Insights implementation. Individual consumers are the primary target audience.
You define several match rules that include address data and other personal identifiers. These match rules did not perform as well as expected in your first unification run.
You need to improve the match results before your marketing team starts using the system.
Which two data enrichments should you consider implementing to improve the match results? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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.
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.
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?
You are a Customer Data Platform Specialist. You created several customer segments. You want to identify differences between the segments that you created.
Which two statements are correct about using segment differentiations? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Your organization is implementing Microsoft Dynamics 365 Customer Insights. You want to make sure that you address duplicate records in your source data.
You need to define the deduplication rules to select which duplicate record should be kept.
Which three options should you select? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
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.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are implementing Microsoft Dynamics 365 Customer Insights as your company's Customer Data Platform.
The initial dataset tables contain contacts from Dynamics 365 Sales, eCommerce customers, and service management platform incidents.
In your first unification run, you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts.
You need to ensure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights.
Solution: Configure the eCommerce table above the Dynamics 365 table in the Source Fields step.
Does this meet the goal?
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.
You are a Customer Data Platform Specialist. You are creating a new measure for business accounts (B2B) in audience insights.
One of the requirements for the new business-level measure is to add a dimension of the city for each business account.
What is needed to ensure that this measure is created as a business-level measure instead of a customer-level measure?
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.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You are implementing Microsoft Dynamics 365 Customer Insights as your company's Customer Data Platform.
The initial dataset tables contain contacts from Dynamics 365 Sales. eCommerce customers, and service management platform incidents.
In your first unification run, you set Dynamics 365 as the primary table but only see eCommerce profiles that were able to be matched with Dynamics 365 contacts.
You need to ensure that unmatched eCommerce customers are also added as a profile in Dynamics 365 Customer Insights.
Solution: Adjust the first condition in the matching rule with the lowest precision.
Does this meet the goal?