Salesforce-AI-Specialist Practice Test

B.   Select the appropriate prompt template type to use, develop the prompt within the prompt workspace, select resources to dynamically insert CRM-derived grounding data, pick the model to use, and test and validate the generated responses.

Explanation: When usingPrompt Builderin a Salesforce org, the correct process involves several important steps:
Select the appropriate prompt template typebased on the use case.
Develop the promptwithin theprompt workspace, where the template is created and customized.
Select CRM-derived grounding datato be dynamically inserted into the prompt, ensuring that the AI-generated responses are based on accurate and relevant data.
Pick the model to usefor generating responses, either using Salesforce's built-in models or custom ones.
Test and validatethe generated responses to ensure accuracy and effectiveness. Option Bis correct as it follows the proper steps for usingPrompt Builder.
Option AandOption Cdo not capture the full process correctly.

C.   Masked data and toxicity score

Explanation: Universal Containers is considering the use of the Einstein Trust Layer along with Einstein Generative AI Audit Data. The Einstein Trust Layer provides a secure and compliant way to use AI by offering features like data masking and toxicity assessment.
The audit data available through the Einstein Trust Layer includes information about masked data—which ensures sensitive information is not exposed—and thetoxicity score , which evaluates the generated content for inappropriate or harmful language.

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.

B.   The Prompt Template Manager permission set was not assigned correctly.

Explanation: In order to access and create custom prompt templates inPrompt Builder, the AI Specialist must have thePrompt Template Managerpermission set assigned.
Without this permission, they will not be able to accessPrompt Builderin the Setup menu, even thoughEinstein Generative AIis enabled.
Option Bis correct because thePrompt Template Managerpermission set is required to usePrompt Builder.
Option A(Prompt Template User permission set) is incorrect because this permission allows users to use prompts, but not create or manage them.
Option C(LLM configuration in Data Cloud) is unrelated to the ability to accessPrompt Builder.

C.   Einstein Prompt Builder and Prompt Templates

Explanation: For Universal Containers (UC), to reduce the time and ensure prompt consistency when using public generative AI models, the recommended feature is Einstein Prompt Builder and Prompt Templates. This feature allows teams to create reusable and consistent prompts for generative AI tasks, ensuring that all users receive uniform responses without having to type in detailed prompts manually every time.
Einstein Prompt Builders implies the creation of prompts, and Prompt Templates standardize the inputs, saving time for sales and service reps.
Option A (Einstein Recommendation Builder)is more focused on recommendations, not prompt standardization.
Option B (Einstein Copilot Action: Query Records)is for querying records, not generating AI-driven prompts.