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Salesforce Salesforce-AI-Specialist Exam Sample Questions

Question # 1

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

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

Explanation: When previewing aprompt templatein Salesforce, theResolutiontext provides theresponse from the LLM(Large Language Model) based on the data from a sample record. This output shows what the AI model generated in response to the prompt, giving the AI Specialist a chance to review and adjust the response before finalizing the template.
Option Bis correct becauseResolutiondisplays the actual response generated by the LLM.
Option Arefers to sending the text to theTrust Layer, but that’s not whatResolutionrepresents.
Option Crelates to data masking, which is shown elsewhere, not underResolution.

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Question # 2

An AI Specialist at Universal Containers is working on a prompt template to generate personalized emails for product demonstration requests from customers. It is important for the Al-generated email to adhere strictly to the guidelines, using only associated opportunity information, and to encourage the recipient to take the desired action. How should the AI Specialist include these instructions on a new line in the prompt template?

A. Surround them with triple quotes (""").

B. Make sure merged fields are defined.

C. Use curly brackets {} to encapsulate instructions.

Answer

A. Surround them with triple quotes (""").

Explanation: In Salesforce prompt templates, instructions that guide how the Large Language Model (LLM) should generate content (in this case, personalized emails) can be included by surrounding the instruction text with triple quotes ("""). This formatting ensures that the LLM adheres to the specific instructions while generating the email content.
The use of triple quotes allows the AI to understand that the enclosed text is a directive for how to approach the task, such as limiting the content to associated opportunity information or encouraging a specific action from the recipient.
Refer to Salesforce Prompt Builder documentation for detailed instructions on how to structure prompts for generative AI.

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Question # 3

What is an AI Specialist able to do when the “Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

A. View the user click path that led to each copilot action.

B. View session data including user Input and copilot responses for sessions over the past 7 days.

C. Generate details reports on all Copilot conversations over any time period.

Answer

B. View session data including user Input and copilot responses for sessions over the past 7 days.

Explanation: When the"Enrich event logs with conversation data"setting is enabled in Einstein Copilot, it allows an AI Specialist or admin to view session data, including both theuser inputandcopilot responsesfrom interactions over the past 7 days. This data is crucial for monitoring how the copilot is being used, analyzing its performance, and improving future interactions based on past inputs.
This setting enriches the event logs with detailed conversational data for better insights into the interaction history, helping AI specialists track AI behavior and user engagement.
Option A, viewing the user click path, focuses on navigation but is not part of the conversation data enrichment functionality.
Option C, generating detailed reports over any time period, is incorrect because this specific feature is limited to data for the past 7 days.

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Question # 4

A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. Which feature in Einstein for Service should the support team use?

A. Einstein Service Replies

B. Einstein Reply Recommendations

C. Einstein Knowledge Recommendations

Answer

B. Einstein Reply Recommendations

Explanation: The support team should useEinstein Reply Recommendationsto provide quick, relevant responses to customer inquiries that are grounded in the organization’s knowledge base. This feature leverages AI to recommend accurate and consistent replies based on historical interactions and the knowledge stored in the system, ensuring that responses are aligned with organizational standards.
Einstein Service Replies(Option A) is focused on generating replies but doesn't have the same emphasis on grounding responses in the knowledge base. Einstein Knowledge Recommendations(Option C) suggests knowledge articles to agents, which is more about assisting the agent in finding relevant articles than providing automated or AI-generated responses to customers.

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Question # 5

The AI Specialist of Northern Trail Outfitters reviewed the organization's data masking settings within the Configure Data Masking menu within Setup. Upon assessing all of the fields, a few additional fields were deemed sensitive and have been masked within Einstein's Trust Layer. Which steps should the AI Specialist take upon modifying the masked fields?

A. Turn off the Einstein Trust Layer and turn it on again.

B. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

C. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.

Answer

B. Test and confirm that the responses generated from prompts that utilize the data and masked data do not adversely affect the quality of the generated response

Explanation: After modifying masked fields in Einstein's Trust Layer, the next important step is to test and confirm that the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content.
Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.
Option Bis correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.
Option A(turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.
Option C(turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.

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