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Microsoft MB-280 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Microsoft Dynamics 365 Customer Experience Analyst
Exam Number:MB-280
Available Languages:French, Japanese, English, German, Spanish, Portuguese (Brazil), Chinese (Simplified)
Certificate Validity Period:2 years
Passing Score:700 / 1000
Exam Duration:100–120
Related Certifications:Microsoft Certified: Power Platform Functional Consultant Associate
Microsoft Certified: Dynamics 365 Sales Functional Consultant Associate
Exam Price:$165 USD
Real Exam Qty:40–60
Exam Format:Case studies, Interactive items, Multiple choice
Recommended Training:Course MB-280T01–T04
MB-280 Learning Path
Exam Registration:Pearson VUE Registration
Sample Questions:Microsoft MB-280 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:Recommended: Experience with Dynamics 365 Sales, Dataverse, and basic Power Platform knowledge; no mandatory prerequisites
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/MB-280

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Microsoft MB-280 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Configure and Customize Dataverse and Model-Driven Apps: This section covers the ability of Dynamics 365 Sales Professionals in the configuration and customization of Dataverse and model-driven apps to meet business needs.
Topic 2
  • Implement Dynamics 365 Sales: This section focuses on the essential processes for setting up and managing Dynamics 365 Sales effectively for Dynamics 365 Sales Professionals.
Topic 3
  • Demonstrate Dynamics 365 Customer Insights Capabilities: This section focuses on leveraging customer data to drive sales strategies through Dynamics 365 Customer Insights.
Topic 4
  • Implement Security and Customizations in Dynamics 365 Sales: This section addresses the implementation of security measures and customization options within Dynamics 365 Sales for Dynamics 365 Sales Professionals.
Topic 5
  • Implement the Dynamics 365 App for Outlook: This section emphasizes the integration of Dynamics 365 with Outlook to enhance productivity and streamline sales processes for Dynamics 365 Sales Professionals.

Microsoft Dynamics 365 Customer Experience Analyst Sample Questions (Q54-Q59):

NEW QUESTION # 54
You are a marketing automation consultant.
Your customer wants to understand the benefits of using the query assist feature in Dynamics 365 Customer Insights - Journeys. Why might your customer want to use this feature?

Answer: B

Explanation:
The Query Assist feature in Dynamics 365 Customer Insights - Journeys utilizes natural language processing to help marketers easily build segments.
By using simple language, marketers can describe their target audience without needing to know complex query syntax, making segmentation more accessible.
This feature is designed to streamline segment creation, allowing marketers to quickly define their audience with natural language inputs, which is particularly useful for users who may not be familiar with technical query building.
Reference: Microsoft Documentation - Use Query Assist for Segmentation in Customer Insights


NEW QUESTION # 55
A company manually assigns leads to salespeople.
The sales manager requires automated lead assignment rules. An administrator enables the feature. However, you are unable to access the Assignment rules area.
You need to request access from the administrator.
Which security role should you request?

Answer: B

Explanation:
Dynamics 365 Sales, Create and activate assignment rules
You can create and manage sequences and assignment rules through navigating to 'Personal Settings' area if users have sequence manager role.


NEW QUESTION # 56
You need to create a custom insight card to display tier change notifications per the global sales lead's request.
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 # 57
You use opportunities in Dynamics 365 Sales.
Opportunities that were closed as lost frequently come back and are eventually won.
You need to be able to track these occurrences and have insight into the process.
What happens during the reopen and close process? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:


NEW QUESTION # 58
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: 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 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.


NEW QUESTION # 59
......

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