Which three components analyze feedback and trigger escalation?
A company plans to implement an automated process to retrieve and analyze customer feedback. The company requires a solution that: Autonomously analyzes feedback. Stores results for reporting. Triggers an escalation for negative sentiment. You need to design the solution. Which three components should you use? Each correct answer presents part of the solution. (Choose three.) NOTE: Each correct selection is worth one point.
Community Insight
The question tests mapping each stated requirement to a Power Platform component; the trap is selecting a canvas app or business rule for automation or storage.
The design needs an AI Builder prompt to analyze customer feedback, a cloud flow to automate processing and escalation, and a Dataverse table to persist results for reporting. This page confirms that A, B, and E together satisfy the autonomous analysis, storage, and negative-sentiment escalation requirements.
A common wrong choice is Canvas app (C), because it can display feedback but does not autonomously analyze it, store results, or trigger escalation. Business rule (D) is also tempting, but it only enforces logic on Dataverse records and cannot orchestrate the end-to-end process.
Community Discussion (1 comments)
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Expert Analysis
Why the Answer Is Correct
AI Builder prompt (A) provides the autonomous analysis capability for customer feedback, including sentiment evaluation. Cloud flow (B) orchestrates retrieval of the feedback, invokes the prompt, evaluates the result, and triggers escalation when negative sentiment is detected. Dataverse table (E) stores the analysis output so it can be used for reporting and follow-up. Together these three components match the three explicit requirements without adding unnecessary UI or data-rule features.Why the Other Options Are Wrong
Canvas app (C) is a user-interface layer; it can help users view or submit feedback but does not autonomously analyze feedback or run background escalation logic. Business rule (D) validates or sets behavior at the Dataverse table level, but it cannot retrieve external feedback, call an AI prompt, or orchestrate a cloud workflow. Neither option fills the automation-plus-storage gap that the cloud flow and Dataverse table cover.Community Comment Notes
As aed747e noted, an AI Builder prompt "autonomously analyzes customer feedback sentiment" while a cloud flow "orchestrates the end-to-end automation" and triggers escalation. The same comment correctly identifies the Dataverse table as the place that stores analysis results for enterprise reporting. The A, B, E selection is consistent with the requirement breakdown in the question and the community explanation.Official Reference
Exam Strategy
Break the scenario into three verbs: analyze, store, and escalate. Assign autonomous analysis to AI Builder prompt, orchestration and escalation to cloud flow, and reporting storage to Dataverse table, then reject UI or rule-only options that cannot perform background automation.
Frequently Asked Questions
Why isn't a canvas app one of the three components?
A canvas app is a user interface; the scenario needs autonomous background analysis, orchestration, and storage, which are handled by AI Builder, cloud flow, and Dataverse.
Can a business rule replace the cloud flow for escalation?
No. A business rule enforces logic on Dataverse records but cannot retrieve external feedback, call an AI prompt, or orchestrate an escalation workflow.