Download SalesForce Certified AI Specialist.SalesForce-Certified-AI-Specialist.ExamTopics.2026-07-17.37q.vcex
| Vendor: | Salesforce |
| Exam Code: | SalesForce-Certified-AI-Specialist |
| Exam Name: | SalesForce Certified AI Specialist |
| Date: | Jul 17, 2026 |
| File Size: | 137 KB |
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Demo Questions
Question 1
Which configuration must an AI Specialist complete for users to access generative AI-enabled fields in the Salesforce mobile app?
- Enable Dynamic Forms on Mobile.
- Enable Mobile Generative AI.
- Enable Mobile Prompt Responses.
Correct answer: B
Question 2
Universal Containers’ sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments.
Which Einstein Generative AI feature should an AI Specialist recommend for this request?
- Einstein Call Summaries
- Einstein Conversation Insights
- Einstein Video KPI
Correct answer: A
Question 3
Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization.
What should the AI Specialist recommend?
- Agent Analytics
- Agentforce Analytics
- Agent Studio Analytics
Correct answer: A
Question 4
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 Al Specialist is tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative Al 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?
- From the Einstein setup menu, select Turn on Einstein; create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these files; and add the Wrap Up component to the Messaging Session record page layout.
- Create custom fields to store Issue, Resolution and Summary; create a Quick Action that updates these fields; and add the Wrap Up component to the Messaging Session record page layout.
- 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 page layout; and create Permission Set Assignments for the intended Agents.
Correct answer: C
Question 5
How does an Agent respond when it can’t understand the request or find any requested information?
- With a general message asking the user to rephrase the request.
- With a generated error message.
- With a preconfigured message, based on the action type.
Correct answer: A
Question 6
A Salesforce Administrator is exploring the capabilities of Agentforce to enhance user interaction within their organization. They are particularly interested in how Agentforce processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Agentforce directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.
How does Agentforce handle user requests In Salesforce?
- Agentforce analyzes the user’s request and LLM technology is used to generate and display the appropriate response.
- Agentforce will trigger a flow that utilizes a prompt template to generate the message.
- Agentforce will perform an HTTP callout to an LLM provider.
Correct answer: A
Question 7
Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team’s performance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?
- Einstein Sales Insights
- Call Explorer
- Call Summaries
Correct answer: B
Question 8
When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles?
- Einstein Service Replies
- Einstein Grounding
- Einstein Reply Recommendations
Correct answer: A
Question 9
What is the role of the large language model (LLM) in executing an Einstein Copilot Action?
- Determine a user’s access and sort actions by priority to be executed
- Find similar requests and provide the actions that need to be executed
- Identify the best matching actions and correct order of execution
Correct answer: C
Question 10
A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users.
How does Einstein Copilot handle user requests in Salesforce?
- Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.
- Einstein Copilot analyzes the user’s request and LLM technology is used to generate and display the appropriate response.
- Einstein Copilot will perform an HTTP callout to an LLM provider.
Correct answer: B
Question 11
Before activating a custom copilot action, an AI Specialist would like to understand multiple real-world user utterances to ensure the action is being selected appropriately.
Which tool should the AI Specialist recommend?
- Einstein Copilot
- Copilot Builder
- Model Playground
Correct answer: C
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