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NEW QUESTION # 67
Your organization has customized Dynamics 365 Sales to allow sales users to create account plans on existing accounts. The Account table has a one-to-many relationship with the Custom Account Plan table.
To comply with privacy laws, your organization needs to delete inactive account records after two (2) years.
Some account managers noticed that when they delete accounts, linked account plans are also deleted.
Account managers want to be able to use these account plans as references.
You need to ensure that when accounts are deleted, the accounts plans are NOT deleted.
Which type of behavior should you set on the delete action in the relationship between accounts and account plans?
Answer: B
Explanation:
Configure table relationship cascading behavior
The CascadeConfiguration class or CascadeConfiguration complex type) contains the properties representing actions that may be performed on the referenced table in the one-to-many relationship. Each property can be assigned one of the values of the CascadeType enum type.
* Restrict
Prevent the Referenced table record from being deleted when referencing tables exist.
Incorrect:
* Cascade All
Perform the action on all referencing table records associated with the referenced table record.
* Cascade Active
Perform the action on all active referencing table records associated with the referenced table record.
* Remove Link
Remove the value of the referencing column for all referencing table records associated with the referenced table record.
Reference:
https://learn.microsoft.com/en-us/power-apps/developer/data-platform/configure-entity-relationship- cascading-behavior
NEW QUESTION # 68
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets 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 configure forecasts for a clothing manufacturer.
A salesperson updates an opportunity and wants to refresh the forecast
You need to show the salesperson how to refresh the forecast.
Solution: Recalculate the opportunity.
Does this meet the goal?
Answer: B
Explanation:
Correct:
* Recalculate the forecast
Incorrect:
* Recalculate the opportunity.
* Update the Opportunity Forecast Category Mapping process.
Note:
Example of forecast recalculation methods
Let ' s understand the different methods with an example. Consider a scenario where you have a forecast with
4 quarterly periods and an annual period. Assume that you ' re currently in Q4. The following table shows when and how the forecast data is updated for different scenarios and periods.
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Dynamics 365 Sales, Recalculate forecasts manually
You want the forecast data to be up-to-date to make informed decisions. Forecast data is automatically recalculated at regular intervals. However, you can trigger a manual recalculation when you want to recalculate the forecast data immediately. You can also trigger a manual recalculation for past and future periods as they aren ' t automatically recalculated.
Recalculate and refresh forecast data manually
1. Open the forecast. Verify the Last updated timestamp on the command bar to know when the forecast was last recalculated successfully.
2. Select Recalculate data.
A notification appears at the top of the screen, confirming the recalculation. Recalculation happens in the background, and you can continue to work while recalculation is in progress.
3. After the application recalculates the forecast data, a notification appears to refresh the data. On the notification, select Refresh page.
Reference:
https://learn.microsoft.com/en-us/dynamics365/sales/keep-forecast-data-up-to-date
https://learn.microsoft.com/en-us/dynamics365/sales/forecast-recalculation-methods
NEW QUESTION # 69
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:
Topic 3, Mix Questions
Mix Questions
MB-280 Mix Questions IN THIS CASE STUDY
NEW QUESTION # 70
You are configuring offline mode for a model-driven app on a customer project.
You need to ensure that the customer is aware of the capabilities and limitations of offline mode.
Which two facts should you convey? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
[A] Supported type of views: Only system views and quick views are supported in mobile offline.
Personal views aren't supported.
[B] Qualify a lead: When a lead created in mobile offline is qualified and when the user goes online, the business process stage shows the qualified stage. The user has to manually select Next stage to move to the next stage.
Reference:
https://learn.microsoft.com/en-us/power-apps/mobile/offline-limitations
NEW QUESTION # 71
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: 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 this meet the goal?
Answer: B
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 # 72
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