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| Section | Weight | Objectives |
|---|---|---|
| Create and Configure Segments and Measures | 25-30% | - Create and configure customer segments
|
| Configure Data Ingestion | 20-25% | - Manage data transformations
|
| Manage Overlapping Identities and Unify Customer Profiles | 15-20% | - Configure identity resolution
|
| Configure Insights and Customer Card | 10-15% | - Configure subscriptions and alerts
|
| Configure Customer Data Privacy Settings and Establish Data Policies | 20-25% | - Configure customer profile configuration
|
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NEW QUESTION # 21
You are a Dynamics 365 Sales administrator. You create a forecast by using the forecast category layout shown in the exhibit:
Use the drop-down menus to select the answer choice that answers each question based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
Deleting the Lost Column from the Forecast:
To remove a column entirely, such as the Lost column, you should adjust the Forecast configuration. This configuration setting allows you to add or remove columns from the forecast grid.
Modifying Forecast configuration affects the structural aspects of the forecast, such as which columns are included, based on what is necessary for reporting and analysis.
By utilizing the Layout column settings for renaming columns and the Forecast configuration for adding or removing columns, you can tailor the forecast layout to meet specific business requirements, ensuring the forecast view is both relevant and easy for users to interpret.
NEW QUESTION # 22
The founder has edited the Salesperson security role to allow the carer to use the Corgi meet-up business process flow, as shown in the following
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the exhibit. NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 23
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.
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: Remove any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Select Next and your data is now ready for unification.
Does this meet the goal?
Answer: A
Explanation:
Correct:
* Transform the first row to be used as headers. Define column types to be the appropriate field types and name the query. Create a full name and full address columns by merging the appropriate columns if they exist. Select Next and your data is now ready for unification.
The proposed solution effectively prepares the data for unification in Dynamics 365 Customer Insights - Data. Here's how each step contributes to meeting the goal:
Transform the first row to be used as headers: This step is necessary to define the column names, which is critical for accurate data interpretation.
Define column types to be the appropriate field types: Specifying the correct data types for each column ensures that the data will be processed correctly during unification, maintaining data integrity.
Create a full name and full address columns by merging the appropriate columns if they exist: This step enhances the dataset by consolidating relevant information into single columns, which can simplify data usage and improve data quality. Merging columns helps ensure that users can easily access essential information without navigating through multiple fields.
Select Next: This indicates that the data transformation steps are completed and the dataset is ready for the unification process.
Incorrect:
* Define column types to be appropriate field types and name the query. Create a full name and full address columns by merging the appropriate columns, if they exist. Select Next and your data is now ready for unification.
Does not address the problem with null values.
* Remove any rows where the primary key is missing, delete any leading or trailing zeros on the primary key, and name the query. Select Next and your data is now ready for unification.
Problem not related to the primary key.
* Transform the first row to be used as headers, and remove any special characters or spaces from header row. Remove rows with missing primary keys and name the query. Select Next and your data is now ready for unification.
Does not address the problem with null values.
* 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.
Solution removes all rows with null values, which can lead to significant data loss, especially if those rows contain important information.
It may compromise data quality by eliminating rows, which can impact analysis and insights.
* Transform the first row to be used as headers, remove rows that contain null values, and name the query. Select Next and your data is now ready for unification.
While the solution includes transforming the first row to be used as headers and naming the query, the step of removing rows that contain null values is problematic.
Removing all rows with null values can lead to significant data loss, particularly if those rows contain relevant information.
NEW QUESTION # 24
You are customizing a workspace in the sales accelerator.
The workspace must display the industry of a company.
You need to configure the work item appearance for a company.
Which two settings should you modify? To answer, select the appropriate UI element in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 25
Your company wants to enable Al features in their systems and use Copilot for Sales to connect to Dynamics
365 Sales data. You need to ensure that all eligible users have access.
Which three actions should you perform? Each correct answer presents part of the solution. Choose three.
NOTE: Each correct selection is worth one point.
Answer: A,B,C
Explanation:
* Enable Copilot for Sales in Dynamics 365:
* To make Copilot features available, you must enable Copilot for Sales within Dynamics 365.
This involves setting up the environment so that Copilot can access and utilize the sales data effectively.
* Verify Server-Side Synchronization and Security Roles:
* Copilot for Sales relies on server-side synchronization to ensure data flow between Dynamics
365 and other services, such as Teams. Ensure that server-side synchronization is enabled and that users have the necessary security roles in Dynamics 365 to access and use Copilot.
* Assign Privileges for Copilot in Teams:
* Ensure that users have the correct privileges within Teams to access Copilot. This might involve configuring access policies and permissions so that eligible users can utilize Copilot features during their interactions within Teams.
Reference: Microsoft Documentation - Configure and Use Copilot for Sales
NEW QUESTION # 26
......
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