Single Choice Moderate

Q

A company uses Microsoft Dynamics 365 Sales and Microsoft Dynamics 365 Customer Service in separate Microsoft Power Platform production environments. Each environment is deployed to a different geographic region and uses a separate Microsoft Dataverse database.

Users on the sales team must see support case statuses, and users on the customer service team must see current opportunity values. The solution must provide cross-environment data access without replicating data and must minimize integration components and administrative overhead.

You need to recommend a solution design that meets the requirements.

What should you recommend?

ID: #26654 Practice Assessment for Exam AB-100: Agentic AI Business Solutions Architect 4 views
Question Info
#26654Q ID
ModerateDifficulty
Practice Assessment for Exam AB-100: Agentic AI Business Solutions ArchitectTopic

Choose the Best Option

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  • A Keep separate production environments per region and sync data by using scheduled integration flows. ✔ ✖
  • B Create a shared production environment that has a unified Dataverse database and migrate the data to the database. ✔ ✖
  • C Keep separate production environments per region and use Dataverse virtual tables to access data across the environments. ✔ ✖
  • D Move both Microsoft Dynamics 365 Sales and Microsoft Dynamics 365 Customer Service solutions into a single production environment and restrict access by using security roles. ✔ ✖
Correct Answer

Explanation

Objective:

1.2 Design overall AI strategy for business solutions

What This Item Tests:

Design AI solutions that use multiple Dynamics 365 apps

Additional Reading:

Get product-specific guidance for your Dynamics 365 environment strategy

Modernize applications with Power Platform

Rationale:

Using Dataverse virtual tables enables real-time access to data across environments without replicating it, while maintaining separate regional environments and minimizing integration complexity and administrative overhead; Moving both applications into a single environment removes regional separation and may violate geographic or organizational constraints; Syncing data by using scheduled integration flows introduces data duplication and additional integration overhead; Creating a shared environment and migrating data increases complexity and contradicts the requirement to avoid data replication.

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