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>> MB-280 Valid Test Question <<
Taking the Microsoft MB-280 practice test is very beneficial to clear the Microsoft Dynamics 365 Customer Experience Analyst MB-280 exam on the first try. You get awareness about the Microsoft MB-280 real exam environment because the MB-280 Practice Exam has an actual exam-like pattern. Furthermore, the Microsoft MB-280 practice test tracks and reports your performance.
NEW QUESTION # 75
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. 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.
Does this meet the goal?
Answer: A
Explanation:
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.
NEW QUESTION # 76
A company uses Microsoft SharePoint document management in Dynamics 365 Sales to store contracts.
The company wants only the contracts team to have access to the documents. The contracts team has a custom security role.
You need to restrict privileges to secure the documents.
What should you do?
Answer: C
Explanation:
* Since the company uses Microsoft SharePoint for document storage, access to documents is controlled through SharePoint permissions rather than Dynamics 365 security roles.
* To restrict document access to only the contracts team, you should update the users list in the SharePoint site where the documents are stored. This involves configuring SharePoint permissions to ensure that only the contracts team (or a specific SharePoint group associated with them) has access to the document library where contracts are stored.
NEW QUESTION # 77
In the weeks leading up to the holiday season, the marketing department sets up a new segment-based journey.
The journey sends a marketing email to all wine enthusiasts who meet the following requirements:
1. The wine enthusiasts have a recorded wine order against their contact record.
2. The wine enthusiasts live in Europe.
You need to ensure that newly added wine enthusiasts also receive this email automatically.
How should you set up the segment?
Answer: B
NEW QUESTION # 78
A marketing user wants to target two groups of customers:
1. All customers that live in Paris.
2. All customers that have made more than ten online purchases.
You decide to meet this requirement by making quick segments.
Which two options should you use as the base in the quick segments? Each correct answer presents part of the solution. (Choose two.) NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
* All customers that live in Paris.
Customer profile data has address information.
* All customers that have made more than ten online purchases.
Incorrect:
Not Data tables [Not available for Quick Segments]
Not Enrichments [Not available for Quick Segments]
Note:
Quick segments let you build simple segments with a single operator quickly for faster insights.
Quick segments are only supported in environments for individual customers.
Create a new segment with quick segments
1. Go to Insights > Segments.
2. Select New > Create from.
Select the Profiles option to build a segment that is based on the unified customer table.
Select the Measures option to build a segment around measures you have previously created.
Select the Insights option to build a segment around one of the output tables you generated using either the Predictions or Custom Models capabilities.
3. In the New quick segment dialog box, select an attribute from the Field dropdown.
Etc.
NEW QUESTION # 79
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 forest.
Does this meet the goal?
Answer: A
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.
--
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 # 80
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