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 remove any special characters in header, defining column types to be appropriate field types, remove any rows with missing primary key, and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Click "Next" and your data is now ready for unification.
Does this meet the goal?

You need to export all the data in Dynamics 365 Customer Insights - Data to Microsoft Azure Blob Storage.
This includes metadata and schemas.
What should you do?

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?

Your organizations IT team created the customer profile records by unifying the Account, Contact, and Web Account tables. After unification was completed, the team noticed that three relationships were created automatically.
1. CustomerToContact
2. CustomerToAccount
3. CustomerToWebAccount
You need to advise the team about how they can configure and update these three relationships.
What should you recommend?

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 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 transforming the first row to be used as headers, defining column types to be appropriate field types, and naming the query. Create a full name column if it does not exist by merging the columns for the first name and last name. Click "Next" and your data is now ready for unification.
Does this meet the goal?