Model Builder 8%

Question 1

Universal Containers (UC) noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a
proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions.

Which use case functionality of Model Builder aligns with UC’s request?

Answer 1

Customer churn prediction

Question 2

An AI Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.

How should the AI Specialist integrate the custom LLM into Salesforce?

A. Add the fine-tuned LLM in Einstein Studio Model Builder.
B. Enable model endpoint on OpenAl and make callouts to the model to generate emails.
C. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.

Answer 2

A. Add the fine-tuned LLM in Einstein Studio Model Builder.

Question 3

When configuring a prompt template, an AI Specialist previews the results of the prompt template they’ve written.
They see two distinct text outputs: Resolution and Response.

Which information does the Resolution text provide?

A. It shows the full text that is sent to the Trust Layer.
B. It shows the response from the LLM based on the sample record.
C. It shows which sensitive data is masked before it is sent to the LLM.

Answer 3

B. It shows the response from the LLM based on the sample record.