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Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. TheAgentforce Specialistis tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production. Which other configuration steps should theAgentforce Specialisttake in the sandbox that can be deployed to the production org?
Correct Answer: C
* Context of the Question * Universal Containers (UC) has a strict change management process that requires all possible configuration be completed in a sandbox and deployed to Production. * Einstein Generative AI is already enabled in Production, and the "Einstein Work Summaries" permission set is already available in Production. * TheAgentforce Specialistneeds to configureWork Summaries for Enhanced Messagingin the sandbox. * What Can Actually Be Deployed from Sandbox to Production? * Custom Fields: Metadata that is easily created in sandbox and then deployed. * Quick Actions: Also metadata-based and can be deployed from sandbox to production. * Layout Components: Page layout changes (such as adding the Wrap Up component) can be added to a change set or deployment package. * Why Option C is Correct * No Need to Turn on Einstein in Sandbox for Deployment: Einstein Generative AI is already enabled in Production; turning it on in the sandbox is typically a manual step if you want to test, but that step itself is not "deployable" in the sense of metadata. * Permission Set Assignments(as in Option A) are not deployable metadata. You can deploy the Permission Set itself but not the specific user assignments. Since the question specifically asks "Which other configuration steps should be takenin the sandboxthatcanbe deployed to the production org?", user assignment is not one of them. * Why Not Option A or B? * Option A: Mentions creating permission set assignments for agents. This cannot be directly deployed from sandbox to Production, as permission set assignments are user-specific and considered "data," not metadata. * Option B: Mentions "Turn on Einstein." But Einstein Generative AI is already enabled in Production. Additionally, "Turning on Einstein" is typically an org-level setting, not a deployable metadata item. * ConclusionThe main deployable items you can reliably create and test in a sandbox, and then migrate to Production, are: * Custom Fields(Issue, Resolution, Summary). * A Quick Actionthat updates those fields. * Page Layout Changeto include the Wrap Up component. Therefore,Option Cis correct and focuses on actions that are truly deployable as metadata from a sandbox to Production. SalesforceAgentforce SpecialistReferences & Documents * Salesforce Trailhead:Work Summaries with Einstein GPTProvides an overview of how to configure Work Summaries, including the need for custom fields, quick actions, and UI components. * Salesforce Documentation:Deploying Metadata Between OrgsExplains what can and cannot be deployed via change sets (e.g., custom fields, page layouts, quick actions vs. user permission set assignments). * SalesforceAgentforce SpecialistStudy GuideOutlines which Einstein Generative AI and Work Summaries configurations are deployable as metadata.