Salesforce Certified AI Specialist Practice Test - Questions Answers, Page 12

List of questions
Question 111

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?
Question 112

An AI Specialist is setting up a new org and needs to ensure that users can create and execute prompt templates. The AI Specialist is unsure which roles are necessary for these tasks.
Which permission sets should the AI Specialist assign to users who need to create and execute prompt templates?
Question 113

Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization.
What should the AI Specialist recommend?
Question 114

Universal Container's internal auditing team asks an AI Specialist to verify that address information is properly masked in the prompt being generated.
How should the AI Specialist verify the privacy of the masked data in the Einstein Trust Layer?
Question 115

Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?
Question 116

An AI Specialist is creating a custom action for Agentforce.
Which setting should the AI Specialist test and iterate on to ensure the action performs as expected?
Question 117

Universal Containers (UC) is looking to improve its sales team's productivity by providing real-time insights and recommendations during customer interactions.
Why should UC consider using Agentforce Sales Agent?
Question 118

Universal Containers is rolling out a new generative AI initiative.
Which Prompt Builder limitations should the AI Specialist be aware of?
Question 119

Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting.
Which business requirement would lead an AI Specialist to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?
Question 120

A data science team has trained an XGBoost classification model for product recommendations on Databricks. The AI Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).
How should the AI Specialist set this up?
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