Salesforce-AI-Specialist Exam Dumps - Salesforce Certified AI Specialist Exam

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.

References:

Salesforce Prompt Builder Permissions:https://help.salesforce.com/s/articleView?id=sf.prompt_builder_permissions.htm

In this scenario, theEinstein Copilotcapability that best helps the agent is its ability toexecute tasks based on available actionsandanswer questionsusing data from Knowledge articles. Einstein Copilot can assist the service agent by providing relevant Knowledge articles on canceling and rebooking flights, ensuring that the agent has access to the correct steps and procedures directly within the workflow.

This feature leverages the agent’s existing context (the travel itinerary) and provides actionable insights or next steps from the relevant Knowledge articles to help the agent quickly resolve the customer’s needs.

The other options are incorrect:

Brefers to invoking a flow to create a Knowledge article, which is unrelated to the task of retrieving existing Knowledge articles.

Cfocuses on generating Knowledge articles, which is not the immediate need for this situation where the agent requires guidance on existing procedures.

References:

Salesforce Documentation onEinstein Copilot

Trailhead Module onEinstein for Service

Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce’s vision of conversational AI streamlining workflows without compromising compliance.

Step-by-step guides (B) are typically handled by tools like Dynamic Forms or Guided Selling, not Agentforce.

Logging messages/emails (C) is managed by Email-to-Case or Service Cloud, not a sales-specific AI agent.

To enable Sales Email prompt templates:

Permission Set: Assign the Prompt Template User permission set to the sales team to grant access to use pre-built templates.

Feature Activation: Enable Sales Emails in Salesforce Setup to activate the integration between prompt templates and email workflows.

Option B (Manager permission set): Required for creating/modifying templates, not for usage.

Option C (Data Cloud Admin): Unrelated to prompt template access.

References:

Salesforce Help: Prompt Template Permissions

Specifies that "Prompt Template User" is required to leverage templates in workflows.

Sales Email Setup outlines enabling the feature in Setup.

When implementingEinstein Generative AIfor improved customer insights and interactions, theData Cloudis a key consideration for storing and managing large-scale audit and feedback data. TheSalesforce Data Cloud(formerly known asCustomer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI-powered insights and reporting. By provisioningData Cloud, organizations likeUniversal Containers (UC)can gain real-time access to customer data, making it a central repository for unified reporting across various systems.

Audit and feedback datagenerated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and theData Cloudprovides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.

Custom objectsorSalesforce Big Objectsare not designed for the scale or the specific type of real-time, unified data processing required in such AI-driven interactions.Big Objectsare more suited for archival data, whereasData Cloudensures more robust processing, segmentation, and analysis capabilities.

References:

Salesforce Data Cloud Documentation:https://www.salesforce.com/products/data-cloud/overview/

Salesforce Einstein AI Overview:https://www.salesforce.com/products/einstein/overview/

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.

References:

Salesforce Prompt Builder Overview:https://help.salesforce.com/s/articleView?id=sf.prompt_builder_overview.htm

To create a digest of account action plans using the generative API feature,Universal Containersshould use theREST API. TheREST APIis ideal for integrating Salesforce with external systems and enabling interaction with Salesforce data, including generative capabilities like creating summaries or digests. It supports modern web standards and is suitable for flexible, lightweight interactions between Salesforce and legacy systems.

Metadata APIis used for retrieving and deploying metadata, not for data operations like generating summaries.

SOAP APIis an older API used for integration but is less flexible compared to REST for this specific use case.

For more details, refer toSalesforce REST API documentationregarding using REST for data integration and generating content.

When usingEinstein Generative AIto create personalized emails, if placeholders appear in the draft email where data from a recipient'sContactrecord should be, the most likely reason is that theuser lacks permission to access the necessary fields. Salesforce's field-level security may prevent users from viewing or utilizing certain data fields, resulting in placeholders being shown instead of the actual values.

Option Bis correct because missing field permissions will cause placeholders in email drafts.

Option A(missing Einstein Sales Emails permission) is unlikely, as this would prevent email generation altogether, not just placeholders.

Option C(locale language issues) would more likely affect language-specific issues, not field placeholders.

References:

Salesforce Email Template and Permissions Documentation:https://help.salesforce.com/s/articleView?id=sf.email_templates_field_permissions.htm