Salesforce Updated Agentforce-Specialist Exam Questions and Answers by ettie

When troubleshooting a copilot custom action using flow as the reference action type, enabling dynamic debugging within Copilot Builder's Dynamic Panel is the most effective way to identify the root cause. By turning on dynamic debugging, the Agentforce Specialist can see detailed logs showing both the inputs and outputs of the flow, which helps identify where the action might be failing or not delivering the expected results.

Option B, confirming selected actions and observing the Input and Output sections, is useful for monitoring flow configuration but does not provide the deep diagnostic details available with dynamic debugging.

Option C, verifying the user utterance and reviewing session event logs, could provide helpful context, but dynamic debugging is the primary tool for identifying issues with inputs and outputs in real time.

Salesforce Agentforce Specialist References:

To explore more about dynamic debugging in Copilot Builder, see: https://help.salesforce.com/s/articleView?id=sf.copilot_custom_action_debugging.htm

For sales reps who need to draft personalized emails based on previous communications, the Agentforce Specialist should recommend the Agent Action: Draft or Revise Sales Email. This action uses AI to generate or revise email content, leveraging past successful communications to create personalized and relevant outreach to prospects or clients.

Find Similar Opportunities is used for opportunity matching, not email drafting.

Summarize Record provides a summary of customer data but does not directly help with drafting emails.

For more information, refer to Salesforce's Agent documentation on standard actions for sales teams.

The Agentforce Testing Center is a tool in Agentforce Studio for validating agent performance. Let’s evaluate the statements.

Option A: Running tests risks modifying CRM data in a production environment.Agentforce Testing Center runs synthetic interactions in a controlled environment (e.g., sandbox or isolated test space) and doesn’t modify live CRM data. It’s designed for safe pre-deployment testing, making this incorrect.

Option B: Running tests does not consume Einstein Requests.Einstein Requests are part of the usage quota for Einstein Generative AI features (e.g., prompt executions in production). Testing Center uses synthetic data to simulate interactions without invoking live AI calls that count against this quota. Salesforce documentation confirms tests don’t consume requests, making this the correct answer.

Option C: Agentforce Testing Center can only be used in a production environment.Testing Center is available in both sandbox and production orgs, but it’s primarily used pre-deployment (e.g., in sandboxes) to validate agents safely. This restriction is false, making it incorrect.

Why Option B is Correct:

Not consuming Einstein Requests is a key feature of Testing Center, allowing extensive testing without impacting quotas, as per Salesforce documentation.

UC needs an AI solution to suggest products from a catalog for its sales team. Let’s assess the prompt template types in Prompt Builder.

Option A: Record summary prompt templateRecord summary templates generate concise summaries of records (e.g., Case, Opportunity). They’re not designed for product recommendations, which require dynamic logic beyond summarization, making this incorrect.

Option B: Email generation prompt templateEmail generation templates craft emails (e.g., customer outreach). While they could mention products, they’re not optimized for standalone recommendations, making this incorrect.

Option C: Flex prompt templateFlex prompt templates are versatile, allowing custom inputs (e.g., catalog data from objects or Data Cloud) and instructions (e.g., “Suggest products based on customer preferences”). This flexibility suits UC’s need to recommend products dynamically, making it the correct answer.

Why Option C is Correct:

Flex templates offer the customization needed to suggest products from a catalog, aligning with Salesforce’s guidance for tailored AI outputs.