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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Microsoft Dynamics 365 Customer Experience Analyst |
| Exam Number: | MB-280 |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Exam Format: | Multiple-choice, Scenario-based |
| Certificate Validity Period: | 1 year (renewal available) |
| Exam Price: | $165 USD |
| Exam Duration: | 120 minutes |
| Passing Score: | 700/1000 |
| Related Certifications: | Microsoft Certified: Dynamics 365 Customer Experience Analyst Associate |
| Sample Questions: | Microsoft MB-280 Sample Questions |
| Exam Way: | Online proctored (Pearson VUE) or in-person testing center |
| Pre Condition: | Recommended: Familiarity with Microsoft Dynamics 365 Customer Insights and basic data analytics concepts. No mandatory prerequisites, but hands-on experience is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/certifications/exams/mb-280 |
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Learning knowledge is not only to increase the knowledge reserve, but also to understand how to apply it, and to carry out the theories and principles that have been learned into the specific answer environment. Studying for attending Microsoft Dynamics 365 Customer Experience Analyst exam pays attention to the method. The good method often can bring the result with half the effort, therefore we in the examination time, and also should know some test-taking skill. The MB-280 Quiz guide on the basis of summarizing the past years, found that many of the questions, the answers have certain rules can be found, either subjective or objective questions, we can find in the corresponding module of similar things in common.
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NEW QUESTION # 122
The sales team wants to see a timeline of related activities and notes on a custom Dynamics 365 Sales form.
You need to add a timeline control to the form,
Which five actions should you perform in sequence? To answer, move the five appropriate actions from the list of actions to the answer are a. Arrange the five actions in the correct order.
Answer:
Explanation:
NEW QUESTION # 123
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 # 124
You need to create a Trend chart.
Which two types of columns can you add to the Trend chart? Each correct answer presents a complete solution. (Choose two.) NOTE: Each correct selection is worth one point.
Answer: A,C
Explanation:
Only Roll up and Calculated type columns have the checkbox option for "Show in Trend Chart", for other types of columns (e.g. Quota column which has Simple type) this checkbox option is hidden as shown below:
Note:
Enhanced configuration is available for the Trend chart and Flow chart within Microsoft Dynamics 365 Sales Insights.
Enable Trend chart using the "Show in Trend Chart" checkbox setting:
The Trend chart is now available as a part of the Predictive forecasting feature.
You need to select/deselect the "Show in Trend Chart" checkbox at the time of configuring the specific column inside the forecast configuration.
Navigate to App settings > under Forecast configurations > Open the appropriate "Forecast configuration" record > navigate to the "Layout" step > under the appropriate column (e.g. Won column) > click on the setting icon as highlighted below:
Only Roll up and Calculated type columns have the checkbox option for "Show in Trend Chart", for other types of columns (e.g. Quota column which has Simple type) this checkbox option is hidden as shown below:
Reference:
https://www.inogic.com/blog/2022/10/enhanced-trend-and-flow-chart-in-sales-forecasting-within-dynamics-365-crm/
NEW QUESTION # 125
You manage a Dynamics 365 Sales environment where users can only view and edit their own records.
User2 is assisting with User1's opportunities while User1 is on vacation. User1 remains the owner of User1's opportunities.
User2 has reported that they CANNOT update User1's opportunities.
You need to diagnose the issue.
What should you do?
Answer: D
Explanation:
Dynamics 365 Sales uses the Opportunity Sales Access Team template to provide access to the opportunity record to all the users connected under the Sales team connection role category. A salesperson who might not have access to a given opportunity record by their assigned security role privileges can still get access when added as a sales team member from this subgrid. This allows the sales team member users to access and work with the opportunity record in Dynamics
365 on a per-record basis. Similarly, when an existing sales team member is deleted from the subgrid, the access to the opportunity record granted via the access team template is also removed.
Note: Use access teams and owner teams to collaborate and share information When to use access teams The teams are dynamically formed and dissolved. This typically happens if the clear criteria for defining the teams, such as established territory, product, or volume aren't provided.
The team members require different access rights on the records. You can share a record with several access teams, each team providing different access rights on the record. For example, one team is granted the Read access right on the account and another team, the Read, Write and Share access rights on the same account.
A unique set of users requires access to a single record without having an ownership of the record.
NEW QUESTION # 126
You need to configure a new Customer Insights - Journeys form to satisfy the digital sales team lead's request.
Which five required actions should you perform in sequence? To answer, move the five appropriate actions from the list of actions to the answer are a. Arrange the five actions in the correct order.
Answer:
Explanation:
NEW QUESTION # 127
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