Microsoft MB-280 Study & Exam Dumps 2025

Microsoft Dynamics 365 Customer Experience Analyst Questions and Answers

Question 1

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 area. Arrange the five actions in the correct order.

Options:

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Question 2

DRAG DROP

A company uses Dynamics 365 Sales to manage product lines.

You need to set up the product catalog, including the ability for sellers to apply quantity discounts.

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.

NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

Options:

Answer:

Explanation:

A screenshot of a computer Description automatically generated

The correct order of actions to set up a product catalog, including the ability for sellers to apply quantity discounts, is as follows:

Create units.

Add products.

Create price lists.

Add price list items.

Create discount lists.

Create Units:

Start by defining units (e.g., each, box, dozen) for your products. Units specify how products are measured and sold, which is essential for setting pricing and discounts.

This step ensures that all products have consistent units of measure before adding them to the catalog.

[Reference: Microsoft Documentation - Set Up Units in Dynamics 365 Sales, Add Products:, After units are created, add products to the catalog. Each product will have an associated unit and a description that defines it within the catalog., Ensure products are added with complete details to enable proper pricing and discounting later., Reference: Microsoft Documentation - Create and Manage Products, Create Price Lists:, Next, create price lists that define the pricing for products. Price lists can be specific to regions, customer types, or other criteria and are essential for associating products with prices., A price list is necessary for assigning product prices, enabling you to link prices with discount lists in the subsequent steps., Reference: Microsoft Documentation - Set Up Price Lists, Add Price List Items:, Add price list items to assign specific products to price lists and set their prices. This links each product with its pricing based on the price list created earlier., It allows flexibility to have different pricing structures for the same product across multiple price lists if needed., Reference: Microsoft Documentation - Add Price List Items, Create Discount Lists:, Finally, create discount lists to apply quantity discounts on products. Discount lists define percentage or flat rate discounts based on purchase quantities, which can then be applied when products are added to sales orders or quotes., This step ensures that sellers can apply quantity-based discounts, meeting the requirement for the product catalog setup., Reference: Microsoft Documentation - Create and Configure Discount Lists, By following these steps in the specified order, you can set up a product catalog that includes units, products, price lists, price list items, and discount lists, allowing sellers to manage product pricing and apply quantity discounts effectively., , ]

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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