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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. 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?
This solution also includes transforming headers and defining column types, along with creating merged columns. However, it still does not remove rows with a high proportion of nulls. Addressing null values is important for data quality and ensuring accurate unification.
Without removing rows with many nulls, the data may still have integrity issues that could impact the unification process. As a result, this solution does not completely meet the goal.
One of the data sources being ingested into Dynamics 365 Customer Insights - Data is Microsoft Dataverse. During the unification process, you need to identify the primary key.
Which three data types can you use as a primary key attribute? Each correct answer presents a complete solution. Choose three. NOTE: Each correct selection is worth one point.
In Dynamics 365 Customer Insights - Data, primary key attributes must uniquely identify records and be consistent across the data source.
Whole Number and GUID are commonly used data types for primary keys because they can uniquely identify records and are natively supported for primary keys in databases.
String can also be used as a primary key if it uniquely identifies each record (e.g., an email address).
Integer and Boolean are generally not used as primary keys in Customer Insights because they may not provide unique identifiers suitable for all scenarios.
A company plans to use server-side synchronization to synchronize emails, tasks, and appointments between Microsoft Exchange and Dynamics 365 Sales.
The salespeople want to know when their emails will be synced.
You need to describe the server-side synchronization frequency for the salespeople.
How should you describe the frequency?
Server-side synchronization typically syncs at equal intervals, which can be configured in Dynamics 365. These intervals determine how often data is synchronized between Microsoft Exchange and Dynamics 365 Sales, affecting emails, tasks, and appointments.
The synchronization frequency can be adjusted by the administrator but operates at consistent, regular intervals by default.
You need to build a trigger-based journey to send the "Getting started" emails requested by the global sales lead. Which trigger should you use to start the journey?
To build a trigger-based journey that sends 'Getting started' emails when an opportunity is marked as 'Won,' the appropriate trigger to use is the Dataverse record change trigger. This trigger is specifically designed to initiate actions based on changes in Microsoft Dataverse records, which are integral to Dynamics 365.
Here's the detailed reasoning:
Dataverse Record Change Trigger:
The Dataverse record change trigger is used to initiate journeys when there is a change in a record within Dataverse, such as an opportunity's status.
Since the requirement is to send a 'Getting started' email once an opportunity status changes to 'Won,' this trigger can detect the status update in real-time.
Using this trigger, you can specify the criteria for the journey to start, such as filtering for opportunities with a status of 'Won,' thus automating the email sending based on this condition.
Why Not Other Triggers?
Custom trigger with lead profile data and Custom trigger with contact profile data: These are generally used for initiating journeys based on custom events or data points outside of standard Dataverse records, which isn't applicable here as the journey is triggered by an opportunity status change, a native Dataverse record.
Email Link Clicked Interaction Trigger: This trigger is used to follow up after an email link is clicked, which does not align with the scenario. The journey must start based on an opportunity status change, not email interaction.
Microsoft Dynamics 365 Reference:
Create and manage trigger-based journeys
Work with Dataverse triggers in journeys
By using the Dataverse record change trigger, you ensure that the journey aligns directly with the sales process and automatically sends the 'Getting started' email when an opportunity reaches the 'Won' status, as requested by the global sales lead.
You need to ensure the active stage of the business process flow is visible in the view. Which two actions should you perform? Each correct answer presents a complete solution. Choose two. NOTE: Each correct selection is worth one point.
Adding Columns to the Active Onboard New Pet View (Option B):
To display the current active stage of the 'Onboard new pet' business process flow, you need to ensure that the Active Onboard new pet view includes relevant columns from the Pet table, specifically those tracking process flow stages.
Creating and Adding a New 'Onboarding Stage' Column (Option D):
Creating a column such as 'Onboarding stage' on the Pet table helps track the active stage of the onboarding process directly within the view. This allows users to see at a glance which stage each pet is in without navigating away from the main view.
Other Options:
Option A (Adding a page) refers to modifying the app's navigation, which doesn't directly impact the visibility of the business process flow stage.
Option C (All Onboard New Pet View) may not be as relevant if you only need to focus on active onboarding records rather than all records.
Reference from Microsoft Documentation:
For configuring views and columns in Dynamics 365, refer to Create and edit views.
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