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A company's IT department has a .CSV file stored on one of their Shared Documents folders within their Microsoft SharePoint sites. The data from the .CSV file is ingested into Dynamics 365 Customer Insights - Data.
The file contains a row header and columns of different types, such as quantities and prices. The file also contains some rows with a high proportion of nulls.
You need to clean and transform the data in Customer Insights - Data to be ready for unification.
Solution: Transform the first row to be used as headers, define column types to be the appropriate field types and name the query. Select Next and your data is now ready for unification.
Does this meet the goal?
While transforming the first row to be used as headers and defining column types are necessary steps, the solution does not address removing rows with high proportions of nulls. Rows with significant null values can interfere with the quality of the unification process in Customer Insights - Data.
Therefore, this solution does not fully meet the goal as it does not handle data quality issues caused by null values.
You need to identify the duplicate pet records, so they can be manually merged by the carer. What must you create?
To identify duplicate records, you need to configure both duplicate detection rules and duplicate detection jobs.
Since Terra Flora requires identifying duplicate pet records across various fields, creating three duplicate detection rules is likely necessary to cover different columns (such as name, breed, and dietary requirements) in the Pet table.
One duplicate detection job is sufficient to run these rules concurrently, scanning the database for duplicates across the specified columns. This job can be scheduled or run manually.
Option B is correct as it ensures comprehensive coverage with three rules addressing various fields and one job to manage the duplicate detection process.
Reference from Microsoft Documentation:
You are creating a pricing list in Dynamics 365 Sales. All prices must end in You need to select the function that establishes this pricing requirement. What should you use?
In Dynamics 365 Sales, the Rounding Policy feature allows you to control how pricing values are rounded, such as ensuring prices end in specific digits (e.g., nearest whole number or a specified decimal value).
The Rounding Policy can be configured to automatically adjust prices to the nearest whole value or any other desired rounding amount, ensuring consistency with pricing requirements.
This feature is especially useful for scenarios where pricing must conform to specific formats, such as all prices ending in ''0'' or ''5.''
You are the Dynamics 365 administrator at an organization that uses both Dynamics 365 Customer Insights - Journeys and Dynamics 365 Sales.
You have configured Customer Insights - Journeys to create leads from web form submissions. You also allow your sales users to create leads using the user interface.
Your organization has recently hosted an event at a conference.
* You have a Customer Insights - Journeys web form to capture leads immediately at the conference.
* You expect sales users to enter lead information for prospects they meet at the event in the week after the conference.
You need to keep your data clean while also capturing all the valid leads from the event. What should you do?
Requirement Analysis:
The organization is collecting lead data from two sources: a web form created in Customer Insights - Journeys and manual entries by sales users. This setup could lead to duplicate entries if a lead is submitted through the web form and then entered manually by a sales user afterward.
To ensure data integrity and avoid duplication, it is essential to implement a mechanism that identifies and manages duplicates automatically.
Solution - Enabling Duplicate Detection:
In Dynamics 365, duplicate detection can be configured to alert users or prevent the creation of records that already exist based on certain criteria (such as email).
By enabling duplicate detection based on email addresses, the system will compare incoming lead data with existing records and prompt users if a duplicate is identified. This feature will ensure that leads collected from different sources are not duplicated unnecessarily.
Steps to Enable Duplicate Detection for Leads Based on Email:
Navigate to Settings > Data Management > Duplicate Detection Rules in Dynamics 365.
Create a new Duplicate Detection Rule for the Lead entity. Specify that the system should check for duplicate records based on the email field.
Publish the rule and ensure it is activated.
After activation, this rule will prompt users whenever a duplicate email is detected, either from the Customer Insights - Journeys web form or manual entry by sales users.
Benefits of Using Duplicate Detection:
This approach does not restrict users from creating leads but ensures that duplicate entries are flagged, allowing users to review and decide whether to proceed.
It maintains data cleanliness by preventing unnecessary duplicates while ensuring all valid leads are captured from different sources.
By implementing this solution, the organization can effectively manage potential duplicate leads, keeping the data clean and accurate across both Customer Insights - Journeys and Dynamics 365 Sales.
A company is using Dynamics 365 Sales to provide quotes to their customers.
Preferred customers must be granted a separate flat rate discount on specific products, depending on their countries or regions. What should you create?
Understanding the Requirement:
The company needs to apply a separate flat rate discount for preferred customers on specific products. This discount varies depending on the customer's country or region.
A Discount List in Dynamics 365 Sales is used to apply specific discounts on products under defined conditions.
Solution - Creating a Discount List:
A Discount List can be tailored to preferred customers and configured to apply discounts based on specific products and customer attributes, such as their country or region.
Using a Discount List ensures flexibility and control over the discount structure, allowing the organization to manage regional variations in pricing for preferred customers.
Steps to Create a Discount List for Preferred Customers:
Navigate to Settings > Product Catalog > Discount Lists.
Create a new Discount List and specify criteria for preferred customers.
Add discount values for the specific products and set conditions based on regions or countries as needed.
Save and publish the Discount List for it to be available for quotes.
By using a Discount List, the company can apply specific discounts to preferred customers while taking into account regional pricing variations, providing a tailored and efficient solution for quote management.
