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Salesforce Salesforce-AI-Specialist Exam Sample Questions

Question # 1

An AI Specialist needs to create a prompt template to fill a custom field named Latest Opportunities Summary on the Account object with information from the three most recently opened opportunities. How should the AI Specialist gather the necessary data for the prompt template?

A. Create a flow to retrieve the opportunity information.

B. Select the Account Opportunity object as a resource when creating the prompt template.

C. Select the latest Opportunities related list as a merge field.

Answer

A. Create a flow to retrieve the opportunity information.

Explanation:

To gather the necessary data for populating theLatest Opportunities Summarycustom field on theAccountobject with information from the three most recently opened opportunities, the AI Specialist shouldcreate a flow. Aflowcan be configured to query and retrieve the required opportunity records based on criteria such as their open date. Once the flow has gathered the necessary data, it can be used in aprompt template or other automation processes to populate the custom field on the Account record. Option Ais correct because creating a flow allows for dynamic data retrieval and control over the logic for selecting the most recent opportunities. Option BandOption Cdo not provide sufficient control or data retrieval capabilities needed for this scenario.

References:

Salesforce Flow

Documentation:https://help.salesforce.com/s/articleView?id=sf.flow.htm

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Question # 2

An AI Specialist configured Data Masking within the Einstein Trust Layer. How should the AI Specialist begin validating that the correct fields are being masked?

A. Use a Flow-based resource in Prompt Builder to debug the fields’ merge values using Flow Debugger.

B. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.

C. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

Answer

B. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu.

Explanation:

To begin validating that the correct fields are being masked in Einstein Trust Layer, the AI Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the AI Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.

Option B is correct because it allows for the retrieval of audit data that can be used to validate data masking.

Option A (Flow Debugger) and Option C (Einstein Feedback) do not relate to validating field masking in the context of the Einstein Trust Layer.

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Question # 3

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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Question # 4

Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements. Which steps should an AI Specialist take to use the content of the standard prompt email template in question andcustomize it to fully meet thebusiness requirements?

A. Save as New Template and edit as needed.

B. Clone the existing template and modify as needed.

C. Save as New Version and edit as needed.

Answer

B. Clone the existing template and modify as needed.

Explanation: When an active standard email prompt template doesn’t meet the business requirements, the best approach is toclone the existing templateand modify it as needed.
Cloning allows the AI Specialist to preserve the original template while making adjustments to fit specific business needs. This ensures that any customizations are applied without altering the original standard template.
Saving as a new versionis typically used for versioning changes in the same template, whileSave as New Templatecreates a brand-new template without linking to the existing one.Cloningprovides a balance, allowing modifications while retaining the original structure for future reference.
For more details, refer toSalesforce Prompt Builder documentationfor guidance on cloning and modifying templates.

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Question # 5

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

A. Secure Data Retrieval and Grounding

B. Data Masking

C. Prompt Defense

Answer

C. Prompt Defense

Explanation: Prompt Defenseis a feature in theEinstein Trust Layerthat helps minimize the risks ofjailbreakingandprompt injection attacks. These attacks occur when malicious users try to manipulate the AI model by providing unintended inputs.Prompt Defense ensures that the prompts are processed securely, protecting the system from such vulnerabilities.
Option A(Secure Data Retrieval and Grounding) relates to ensuring that data used by AI is securely retrieved but does not address prompt security.
Option B(Data Masking) focuses on protecting sensitive information but does not prevent injection attacks.
For more information, refer toSalesforce's Einstein Trust Layer documentationon Prompt Defenseand security features.

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