Become Salesforce Certified with updated AI-Specialist exam questions and correct answers
A sales team wants to ensure that their AI-generated emails are always based on the most recent customer interaction data stored in the CRM, such as recent purchases or support cases. Which grounding technique should they use to achieve this?
How can an organization best assess the overall effectiveness of Einstein Copilot after a few months of deployment?
A sales manager wants to ensure that their team focuses on the most promising leads. Which generative AI feature in Einstein for Sales should they use to identify leads that are most likely to convert?
A sales team is preparing proposals for potential clients and needs to include personalized sections for each client, such as specific product recommendations, pricing, and benefits based on their industry. The team wants to automate this process to save time while ensuring accuracy and relevance. Is it appropriate to use Prompt Builder in this scenario, and why?
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. The AI Specialist is 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 the AI Specialist take in the sandbox that can be deployed to the production org?
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