Microsoft MB-280 Practice Exam Dumps 2025

In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

Options:

Buy Now

Answer:

Explanation:

A screenshot of a computer Description automatically generated

The correct order of actions to create a sequence of tasks and assign them to lead records based on the same criteria as assignment rules is as follows:

Create a sequence.

Add tasks to the sequence.

Connect the existing segment to the sequence.

Activate the sequence.

Create a Sequence:

Start by creating a sequence in Dynamics 365 Sales. A sequence is a defined set of steps (tasks) that are applied to records in a systematic manner. It helps automate the task creation process based on predefined criteria.

[Reference: Microsoft Documentation - Create and Manage Sequences, Add Tasks to the Sequence:, After creating the sequence, add the specific tasks that need to be automatically generated and assigned to the leads. These tasks can be calls, follow-ups, emails, etc., that need to be completed as part of the sales process., Reference: Microsoft Documentation - Add Activities to a Sequence, Connect the Existing Segment to the Sequence:, Once the tasks are added, connect the sequence to the existing segment that filters the lead records based on assignment rules. This ensures that only leads within this specific segment are targeted by the sequence., The segment is a subset of leads that meet certain criteria, and connecting it to the sequence allows for automated task assignment according to the segment's filtering rules., Reference: Microsoft Documentation - Use Segments with Sequences, Activate the Sequence:, Finally, activate the sequence to begin the automated assignment of tasks to lead records that meet the segment criteria. Activation makes the sequence live, enabling the automated process to assign tasks to each lead as per the sequence setup., Reference: Microsoft Documentation - Activate Sequences, By following these steps, the sales manager can ensure that tasks are automatically generated and assigned to leads according to the same criteria used by the assignment rules, streamlining task management for the sales team., ]

Question 2

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?

Options:

Cascade All

Cascade Active

Remove Link

Restrict

Question 3

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?

Options:

Yes

Answer:

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.

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MB-280 Exam Dumps : Microsoft Dynamics 365 Customer Experience Analyst

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Microsoft Dynamics 365 Customer Experience Analyst Questions and Answers

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