Free AI-201 sample questions
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Showing 8 of 17 free sample questions.
Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses.What is causing this issue?
Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach.Which standard Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications? A.Agent Action: Draft of Revise Sales EmailB.Agent Action: Summarize RecordC.Agent Action: Find Similar Opportunities
Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements? A.Save as New Version and edit as needed.B.Clone the existing template and modify as needed.C.Save as New Template and edit as needed.
Universal Containers (UC) recently rolled out Einstein Generative AI capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information.What is a possible explanation for the poor prompt performance? A.The prompt template version is incompatible with the chosen LLM.B.The Einstein Trust Layer is incorrectly configured.C.The data being used for grounding is incorrect or incomplete.
Helios Aerospace is implementing an Agentforce solution to assist their procurement team. They have a strict requirement that the AI agent must only access vendor data for vendors rated 'Class A' in their ERP system. This data is synchronized to Salesforce nightly. The Agentforce Specialist needs to ensure the agent respects this data visibility constraint without creating separate agent configurations for different users. Which approach adheres to the principle of least privilege while meeting the requirement?
A developer at Nebulon Systems is troubleshooting an Agentforce agent that fails to execute a custom Flow action. The Flow works correctly when debugged manually by the administrator. The agent's trace logs show the plan identifying the correct action, but the execution step fails with an 'Insufficient Privileges' error. What is the most likely cause of this issue?
Quantico Logistics wants to use a Prompt Builder template to generate a complex 'Bill of Lading' summary. This summary requires combining data from the Shipment record, the related Account record, and a real-time API call to an external weather service to check for shipping delays. Which grounding technique is appropriate for this scenario?
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