The problem is that calculations are performed by asynchronous workflows, which run in the background and are not guaranteed to execute immediately. This causes the observed delays. To provide real-time updates, the business logic must be executed synchronously.

A real-time workflow (Option A) is a type of synchronous workflow that runs immediately as part of the same database transaction as the triggering event. Similarly, a synchronous plug-in (Option D) executes immediately and within the transaction. Both options would force the quote total to be recalculated and displayed to the user instantly upon updating a line item, directly resolving the issue.

B. Consolidate multiple asynchronous workflows into a single asynchronous workflow.

This does not address the core problem. The process remains asynchronous and will still execute in the background with a delay, failing to meet the real-time requirement.

C. Implement a business process flow to replace the existing workflows.

Business process flows are designed to guide users through a multi-stage process. They are not the appropriate tool for executing immediate, transactional calculations upon a field change.

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1. Microsoft Learn | Power Automate Documentation. "Use real-time workflows".

Reference: Under the section "When to use real-time workflows", it states, "Unlike asynchronous workflows, real-time workflows execute immediately... They run in the same transaction as the base operation." This supports using a real-time workflow (Option A) for immediate execution.

2. Microsoft Learn | Dataverse Developer Guide. "Event framework".

Reference: In the section "Synchronous and asynchronous execution", it explains, "A plug-in can be registered to execute synchronously or asynchronously. A synchronous plug-in causes the platform to wait for the plug-in to finish execution before the main operation can continue." This supports using a synchronous plug-in (Option D) for real-time logic.

3. Microsoft Learn | Dataverse Developer Guide. "Asynchronous service in Dataverse".

Reference: The overview section states, "The asynchronous service executes long-running operations like bulk email, workflows, and bulk import, independently of the main Dataverse core operation." This explains why the current asynchronous implementation (and Option B) causes delays.