The MB-280 exam validates your expertise as a Microsoft Dynamics 365 Customer Experience Analyst. This certification demonstrates your ability to implement, configure, and optimize Microsoft Dynamics 365 solutions for customer-facing business processes. Whether you're advancing your career in customer relationship management or preparing for a specialist role, this page provides a structured study roadmap. Use the syllabus overview, question format guidance, and preparation tips to build confidence and competency before exam day.
Use this topic map to guide your study for Microsoft MB-280 (Microsoft Dynamics 365 Customer Experience Analyst) within the Microsoft Dynamics 365 path.
The MB-280 exam uses multiple question types to assess both conceptual knowledge and practical decision-making. You will encounter scenarios that require you to analyze business requirements and select the most appropriate Dynamics 365 configuration or feature.
Questions progress in difficulty and emphasize practical application, ensuring that passing candidates can implement real solutions in production environments.
Effective preparation balances structured study with hands-on practice. Allocate 4-6 weeks to cover all topics, with time reserved for review and practice testing. Break down each domain into weekly milestones and track your progress to stay on pace.
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Implementing and configuring Dynamics 365 Sales and Dataverse typically represent the largest portion of the exam. These domains test both foundational knowledge and hands-on configuration skills. Customer Insights and advanced extensions are also important but often require fewer questions overall.
In practice, you start by designing and configuring the Dataverse data model to support your sales processes. Next, you implement Dynamics 365 Sales features on top of that foundation. As the system matures, you use Customer Insights to analyze customer data and extend Sales capabilities with custom features to meet unique business needs. Understanding these connections helps you see the exam as a cohesive system rather than isolated topics.
Hands-on experience is highly valuable; aim to spend at least 2-3 weeks working directly in a Dynamics 365 sandbox or trial environment. Prioritize labs that cover Dataverse table creation, Sales process configuration, and form customization. These foundational skills appear frequently on the exam and build confidence for scenario-based questions.
Many candidates underestimate the depth of Dataverse knowledge required and focus too heavily on Sales features alone. Others rush through scenario questions without fully reading the business requirements, leading to incorrect choices. Additionally, some candidates confuse similar features (such as business rules versus workflows) or miss the nuances of when to use each approach.
In your final week, shift from learning new content to reinforcing weak areas identified in practice tests. Review explanations for questions you missed, not just the correct answers. Complete one full-length practice test under timed conditions, then spend time on targeted review of any topic that still feels uncertain. Avoid cramming new material; instead, focus on building speed and confidence with familiar content.
A large construction company uses Dynamics 365 Sales to manage their sales pipeline.
All future jobs are logged in the system as opportunities. Depending on the type o( work, some opportunities close faster, and others take longer due to dependency on the third-party vendors.
The sales team does NOT currently use the "On hold* option, as it does NOT provide enough details.
When working with open opportunities, the sales manager wants to know whether opportunities are pending permits or require asbestos removal.
You need to ensure that a salesperson can only select the "Pending Permits" or "Asbestos Removal" option when working with their opportunities to indicate the deal is taking longer.
What should you do?
Understanding the Statuscode and Statecode Columns:
In Dynamics 365 Sales, opportunities have two primary columns related to their status: statecode and statuscode.
The statecode defines the primary state of an opportunity (e.g., Open, Won, Lost).
The statuscode provides more granular reasons associated with each primary state. For example, within the 'Open' state, you can have various reasons such as 'In Progress,' 'On Hold,' etc.
Modifying Status Reasons for Open Opportunities:
The construction company wants to indicate when opportunities are delayed due to specific external factors. To accommodate this, they need specific status reasons like 'Pending Permits' and 'Asbestos Removal.'
By adding these as status reasons under the 'Open' state, you enable sales team members to select these options directly from their current status options.
Steps to Add New Status Reasons to Open Opportunities:
Navigate to Solution: Go to the Dynamics 365 Sales app, then to Settings > Customizations > Customize the System.
Locate the Opportunity Entity: In the default solution, find and expand the 'Entities' list, then select 'Opportunity.'
Edit Statuscode Values: Within the 'Opportunity' entity, select 'Fields,' then find and edit the statuscode field. Here, you can add new options under the 'Open' status. Add 'Pending Permits' and 'Asbestos Removal.'
Publish the Changes: After adding and saving the new status reasons, publish the changes so that they are available to users.
Verifying Custom Status Reason Visibility:
Ensure the new options are available on the Opportunity form for selection.
Test by opening an Opportunity and confirming that the 'Pending Permits' and 'Asbestos Removal' options are available under the Open status reasons.
By following these steps, the sales team can now use specific status reasons to indicate why certain opportunities are delayed, providing clearer visibility into the sales pipeline's status.
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?
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.
You have opportunities that have values in multiple currencies. You manually update currency exchange rates once per month. You need to ensure that currency values are accurately reported. When is the new currency exchange rate applied to the opportunity records?
In Dynamics 365 Sales, currency exchange rates are applied to opportunity records when specific triggers occur. These exchange rates are updated manually on a periodic basis (e.g., once a month) to reflect current currency values.
Exchange rates are recalculated for an opportunity when there is a change in the status reason (e.g., from open to won or lost). This trigger ensures that the most recent exchange rate is used when key changes occur in the opportunity lifecycle, maintaining accurate currency reporting.
The remote sales workforce of your organization has been using the integrated Teams chat to collaborate internally. To save time, you indicate to the sales leader that suggested contacts can be displayed when a seller starts a new connected chat.
The sales leader asked you to configure the ability to use suggested contacts.
Which three users can you use as a rule for suggesting contacts? Each correct answer presents a complete solution. Choose three.
NOTE: Each correct selection is worth one point.
Manager on System User Record:
Suggested contacts in Teams can include users directly linked to the individual starting the chat. The manager assigned on the user's system record can be a suggested contact, as this is a common relationship that suggests frequent communication.
Record Owner of the Initiating Record:
The owner of the record being discussed or acted upon is also likely to be a suggested contact. This is because the owner has primary responsibility for the record and would commonly need to be consulted or informed about actions related to it.
Created By of the Initiating Record:
If the user is the Created By for a record, they are associated with its initial setup or creation. As a result, they may be suggested when actions on that record are taken since they are familiar with its origins.
These selections align with the rules typically used for suggesting contacts in integrated Teams chats, ensuring relevant parties are automatically suggested based on record associations and user relationships.
You are implementing Dynamics 365 Customer Insights - Data as the company's Customer Data Platform. You set up the data sources and start the unification process. You need to identify the primary table within the Matching conditions page.
Which two criteria should you use to determine the primary table? Each correct answer presents a complete solution. Choose two. NOTE: Each correct selection is worth one point.
When determining the primary table in Customer Insights during the unification process, the goal is to choose the table that provides the most robust and accurate customer profile information.
Criterion A is crucial because having complete and reliable customer profile data ensures that the unified profile is accurate and comprehensive.
Criterion C is recommended by Microsoft when using Dynamics 365 data, as the contact table often serves as the primary source of customer information within the Dynamics 365 ecosystem.
While tables with many related tables or common attributes with other tables may provide supplementary information, they do not necessarily constitute the primary source for reliable customer data.
