Question 1

Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

Options :

A : Secure Data Retrieval and Grounding

B : Data Masking

C : Prompt Defense

Answer: C

Question 2

Northern Trail Outfitters (NTO) wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page. After provisioning Data Cloud, which step must an Al Specialist take to make this option available to NTO?

Options :

A : Turn on Einstein Copilot.

B : Turn on Einstein Generative AI.

C : Turn on Prompt Builder.

Answer: B

Question 3

What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

Options :

A : Find similar requested topics and provide the actions that need to be executed.

B : Identify the best matching topic and actions and correct order of execution.

C : Determine a user’s topic access and sort actions by priority to be executed.

Answer: B

Question 4

An Agentforce is tasked with analyzing Agent interactions looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the AX Specialist to achieve this?

Options :

A : User Utterances dashboard

B : Agent Event Logs dashboard

C : AI Audit & Feedback Data dashboard

Answer: A

Question 5

Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology. However, UC is concerned that public AI virtual assistants lack adequate company data to general useful responses. Which solution should UC consider?

Options :

A : fine-tune the Einstein AI model with CBM data.

B : Build Al model with Einstein discovery and deploy to sales users.

C : Enable Agentforce and deploy to sales users.

Answer: A

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