Salesforce Salesforce AI Specialist Salesforce Certified AI Specialist Exam Online Training

Question #11

Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing Al-generated plans containing guidance and steps for closing deals.

Which feature should the AI Specialist recommend to the sales team?

A . Find Similar Deals
B . Create Account Plan
C . Create Close Plan

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Question #12

How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?

A . Masked data will be de-masked during response journey.
B . Masked data will be de-masked during request journey.
C . Responses that do not meet the relevance threshold will be automatically rejected.

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Correct Answer: A
A

Explanation:

The Einstein Trust Layer ensures that sensitive data is protected while generating useful and meaningful responses by masking sensitive data before it is sent to the Large Language Model (LLM) and then de-masking it during the response journey.

How It Works:

Data Masking in the Request Journey:

Sensitive Data Identification: Before sending the prompt to the LLM, the Einstein Trust Layer scans the input for sensitive data, such as personally identifiable information (PII), confidential business information, or any other data deemed sensitive.

Masking Sensitive Data: Identified sensitive data is replaced with placeholders or masks. This ensures that the LLM does not receive any raw sensitive information, thereby protecting it from potential exposure.

Processing by the LLM:

Masked Input: The LLM processes the masked prompt and generates a response based on the masked data.

No Exposure of Sensitive Data: Since the LLM never receives the actual sensitive data, there is no risk of it inadvertently including that data in its output. De-masking in the Response Journey:

Re-insertion of Sensitive Data: After the LLM generates a response, the Einstein Trust Layer replaces the placeholders in the response with the original sensitive data.

Providing Meaningful Responses: This de-masking process ensures that the final response is both meaningful and complete, including the necessary sensitive information where appropriate. Maintaining Data Security: At no point is the sensitive data exposed to the LLM or any unintended recipients, maintaining data security and compliance.

Why Option A is Correct:

De-masking During Response Journey: The de-masking process occurs after the LLM has generated its response, ensuring that sensitive data is only reintroduced into the output at the final stage, securely and appropriately.

Balancing Security and Utility: This approach allows the system to generate useful and meaningful responses that include necessary sensitive information without compromising data security.

Why Options B and C are Incorrect:

Option B (Masked data will be de-masked during request journey):

Incorrect Process: De-masking during the request journey would expose sensitive data before it reaches the LLM, defeating the purpose of masking and compromising data security.

Option C (Responses that do not meet the relevance threshold will be automatically rejected): Irrelevant to Data Protection: While the Einstein Trust Layer does enforce relevance thresholds to filter out inappropriate or irrelevant responses, this mechanism does not directly relate to the protection of sensitive data. It addresses response quality rather than data security.

Reference: Salesforce AI Specialist Documentation – Einstein Trust Layer Overview:

Explains how the Trust Layer masks sensitive data in prompts and re-inserts it after LLM processing to protect data privacy.

Salesforce Help – Data Masking and De-masking Process:

Details the masking of sensitive data before sending to the LLM and the de-masking process during the response journey.

Salesforce AI Specialist Exam Guide – Security and Compliance in AI:

Outlines the importance of data protection mechanisms like the Einstein Trust Layer in AI

implementations.

Conclusion:

The Einstein Trust Layer ensures sensitive data is protected by masking it before sending any prompts to the LLM and then de-masking it during the response journey. This process allows Salesforce to generate useful and meaningful responses that include necessary sensitive information without exposing that data during the AI processing, thereby maintaining data security and compliance.

Question #13

Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls.

How should UC meet this requirement?

A . Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.
B . Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
C . Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

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Question #14

What is the role of the large language model (LLM) in executing an Einstein Copilot Action?

A . Find similar requests and provide actions that need to be executed
B . Identify the best matching actions and correct order of execution
C . Determine a user’s access and sort actions by priority to be executed

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Question #15

A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights.

Which Einstein Copilot capability helps the agent accomplish this?

A . Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
B . Invoke a flow which makes a call to external data to create a Knowledge article.
C . Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

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Question #16

An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.

What should the AI Specialist do to identify the root cause of the problem?

A . In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.
B . Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.
C . In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.

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Question #17

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

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Question #18

Universal Containers implemented Einstein Copilot for its users.

One user complains that Einstein Copilot is not deleting activities from the past 7 days.

What is the reason for this issue?

A . Einstein Copilot Delete Record Action permission is not associated to the user.
B . Einstein Copilot does not have the permission to delete the user’s records.
C . Einstein Copilot does not support the Delete Record action.

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Question #19

Where should the AI Specialist go to add/update actions assigned to a copilot?

A . Copilot Actions page, the record page for the copilot action, or the Copilot Action Library tab
B . Copilot Actions page or Global Actions
C . Copilot Detail page, Global Actions, or the record page for the copilot action

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Question #20

Universal Containers wants to reduce overall agent handling time minimizing the time spent typing

routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields.

Which combination of Einstein for Service features enables this effort?

A . Einstein Service Replies and Work Summaries
B . Einstein Reply Recommendations and Case Summaries
C . Einstein Reply Recommendations and Case Classification

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Salesforce Salesforce AI Specialist Salesforce Certified AI Specialist Exam Online Training

Salesforce Salesforce AI Specialist Online Training

The questions for Salesforce AI Specialist were last updated at Jun 03,2025.

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