Free Salesforce AI-Specialist Exam Questions

Become Salesforce Certified with updated AI-Specialist exam questions and correct answers

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Total 447 Questions | Updated On: Apr 01, 2026

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Question 1

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?

A : create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields: add the Wrap Up component to the Messaging Session record paae layout: and create Permission Set Assignments for the intended Agents.

B : From the Epstein setup menu, select Turn on Einstein: create custom fields to store Issue, Resolution, and Summary: create a Quick Action that updates these fields: and add the wrap up componert to the Messaging session record page layout.

C : Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page lavcut.

Answer: C

Question 2

A tech startup is building a chatbot to assist users with complex troubleshooting tasks. The team is debating between using a standard Salesforce LLM, customizing their own model, or bringing in an external LLM that was trained on a vast amount of technical documentation. Under which condition would it be most appropriate to configure a custom generative model?

A : When the startup requires the chatbot to understand and generate responses based on very specific, in-house technical terminology that standard models might not cover

B : When the startup needs the chatbot to handle basic customer inquiries that do not require technical depth

C : When the startup wants to use a model trained exclusively on general, public domain technical documents

D : When the startup has a very limited dataset and no specific customization needs

Answer: A

Question 3

A sales team needs to quickly draft personalized proposals for prospective clients. Each proposal should include tailored product recommendations and pricing based on the client’s industry and previous interactions. The team wants to streamline this process without sacrificing the quality and relevance of the content. Should the Prompt Builder be used in this scenario, and why?

A : Yes, because it can automate the generation of personalized proposals based on specific client data

B : No, because it’s better to manually create proposals to ensure accuracy

C : Yes, but only for generating standard templates without customization

D : No, because the Prompt Builder is only for marketing content

Answer: A

Question 4

A legal team is using AI to draft documents that must be grounded in the latest legal precedents and case law. What grounding technique should be applied to ensure the AI-generated documents are accurate and reliable?

A : Pulling data from internal document templates

B : Accessing an up-to-date legal database in real-time

C : Training the AI on a fixed dataset of previous cases

D : Using a generic legal language model without updates

Answer: B

Question 5

A sales representative wants to quickly generate a personalized follow-up email after a meeting with a potential client, summarizing key discussion points and proposing next steps. Which Einstein feature should the sales representative use?

A : Einstein Lead Scoring

B : Einstein Opportunity Insights

C : Einstein GPT for Sales Emails

D : Einstein Account Insights

Answer: C

Page: 1 / 90

Total 447 Questions | Updated On: Apr 01, 2026

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