For Northern Trail Outfitters (NTO) to configure the Einstein Trust Layer , the Einstein Generative AI feature must be enabled. The Einstein Trust Layer is closely tied to generative AI capabilities, ensuring that AI-generated content complies with data privacy, security, and trust standards.

Option A (Turning on Einstein Copilot) is unrelated to the setup of the Einstein Trust Layer, which focuses more on generative AI interactions and data handling.

Option C (Turning on Prompt Builder) is used for configuring and building AI-driven prompts, but it does not enable the Einstein Trust Layer.

Salesforce AI Specialist References: For more details on the Einstein Trust Layer and setup steps: https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_overview.htm

To ensure a custom action in Agentforce performs as expected, the AI Specialist must focus on  Action Instructions . Here ' s why:

Action Instructions  define the logic, parameters, and steps the AI should follow to execute the action. They include:

How input data is processed.

API calls or Apex invocations.

Conditional logic (e.g., decision trees). Testing and iterating on these instructions ensures alignment with the intended workflow. For example, incorrect API endpoint references or misconfigured parameters in the instructions will cause failures.

Action Input  (Option A) refers to the data provided to the action. While validating input formats is important, inputs are static once defined. The primary issue lies in whether the instructions correctly  use  the inputs.

Action Name  (Option B) is a descriptive label and does not affect functionality.

Salesforce Documentation Support :

Salesforce Einstein Bots & Custom Actions Guide highlights that  Action Instructions  are where the " core logic " resides, requiring rigorous testing (Source:  Einstein Bots Developer Guide ).

Trailhead Module " Build Custom Actions for Einstein Bots " emphasizes refining instructions to handle edge cases and validate outputs (Source:  Trailhead ).

By iterating on  Action Instructions , the AI Specialist ensures the action’s logic, integrations, and error handling are robust.

The " Create Close Plan " feature is designed to help sales reps by providing AI-generated strategies and steps specifically focused on closing deals. This feature leverages AI to analyze the current state of opportunities and generate a plan that outlines the actions, timelines, and key steps required to move deals toward closure. It aligns directly with the sales team’s need to meet quotas by offering actionable insights and structured plans.

Find Similar Deals (Option A) helps sales reps discover opportunities similar to their current deals but doesn’t offer a plan for closing.

Create Account Plan (Option B) focuses on long-term strategies for managing accounts, which might include customer engagement and retention, but doesn’t focus on deal closure.

Salesforce AI Specialist References: For more information on using AI for sales, visit: https://help.salesforce.com/s/articleView?id=sf.einstein_for_sales_overview.htm

To enable Universal Containers ' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases , the AI Specialist should set up Call Insights . Call Insights analyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.

Call Summaries provide a general overview of the call but do not specifically highlight keywords or topics.

Call Explorer is a tool for navigating through call data but does not focus on automatic insights.

For more information, refer to Salesforce ' s Call Insights documentation regarding the analysis of call content and extracting actionable information.

Knowledge Replies  is the Einstein Generative AI capability that generates recommended responses for service agents by grounding responses in the organization’s  Knowledge articles . This reduces handling time by providing contextually accurate suggestions sourced directly from approved content. Salesforce documentation states that Knowledge Replies leverage natural language processing (NLP) to match customer inquiries with relevant articles and draft replies, ensuring consistency and compliance.

Case Replies  (A) focus on generating responses based on case data (e.g., case fields, history) but do not explicitly ground responses in Knowledge articles.

Service Replies  (C) is not a standard Einstein capability tied to Knowledge-driven responses.

When previewing a prompt template in Salesforce, the Resolution text provides the response 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 B is correct because Resolution displays the actual response generated by the LLM.

Option A refers to sending the text to the Trust Layer , but that’s not what Resolution represents.

Option C relates to data masking, which is shown elsewhere, not under Resolution .

References :

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

Einstein Call Summaries is the best option for this scenario because it leverages Salesforce ' s AI capabilities to automatically summarize key details of video or voice calls. It includes details like deal terms, customer sentiments, follow-up tasks, and other crucial information. This feature is designed to help sales teams focus on their strategies rather than taking extensive manual notes during conversations.

Einstein Call Summaries: Automatically generates summaries for calls, identifying critical points such as next steps and follow-ups, enhancing efficiency and understanding of deal progression.

Einstein Conversation Insights: While it provides insights into customer sentiment and engagement, it is more suited for analyzing patterns across conversations rather than summarizing specific call details.

Einstein Video KPI: Focuses on analyzing key performance indicators within video calls but does not offer summarization features needed for deal terms or sentiment tracking.

This feature ensures actionable insights are delivered directly into the Salesforce CRM, allowing sales managers to gain a concise overview without manually reviewing long recordings.

Universal Containers needs to generate a sales proposal using data from multiple unrelated standard and custom objects within a prompt template. The most effective way to achieve this is by using a Flex template .

Flex templates in Salesforce allow AI specialists to create prompt templates that can accept inputs from multiple sources, including various standard and custom objects. This flexibility enables the direct use of data from unrelated objects without the need to create intermediary custom objects or complex flows.

References:

Salesforce AI Specialist Documentation - Flex Templates: Explains how Flex templates can be utilized to incorporate data from multiple sources, providing a flexible solution for complex data requirements in prompt templates.

To allow a data scientist to view and manage models in Einstein Studio and create prompt templates in Prompt Builder , the AI Specialist should assign the Data Cloud Admin and Prompt Template Manager permission sets.

Data Cloud Admin provides access to manage and oversee models within Einstein Studio .

Prompt Template Manager gives the user the ability to create and manage prompt templates within Prompt Builder .

Option A is correct because it assigns the necessary permissions for both managing models and creating prompt templates.

Option B and Option C are incorrect as they do not provide the correct combination of permissions for managing models and building prompts.

References :

Salesforce Permissions Documentation: https://help.salesforce.com/s/articleView?id=sf.perm_sets_overview.htm

Context of the Question Universal Containers (UC) wants to include details from a related list on the Account object in a prompt template. This is typically done via Prompt Builder in Salesforce’s generative AI setup.

Prompt Builder Behavior

Selecting a Related List : Within Prompt Builder, you can navigate to the object (Account) and choose which related list (e.g., Contacts, Opportunities) you want to reference.

Field Picker : Once a related list is chosen, Prompt Builder provides a field picker interface, allowing you to select specific fields from that related list. These fields then become available for merge fields or dynamic insertion within your prompt.

Why Option A is Correct

Direct Alignment with the Standard Process : The recommended approach in Salesforce’s documentation is to select a related list and then use the field picker to add the necessary fields into your AI prompt. This ensures the prompt has exactly the data you need from that related list.

Why Not Option B (JSON Formatting)

No Mandatory JSON Requirement : Although you can structure data as JSON if you desire advanced formatting, Prompt Builder does not require you to manually assign the fields from the related list in JSON. The platform automatically handles how the data is passed along in the background.

Why Not Option C (Default Page Layout)

Independent of Page Layout : Prompt Builder does not rely strictly on the default page layout for fields. You can configure the fields you want from the related list, independent of how the user’s page layout is set up in the UI.

Conclusion Since the official Salesforce approach involves selecting a related list and then using the field picker to insert merge fields, Option A is the correct and verified answer.

Salesforce AI Specialist References & Documents

Salesforce Official Documentation: Prompt Builder Basics Explains how to reference objects and related lists when building AI prompts.

Salesforce Trailhead: Get Started with Prompt Builder Provides hands-on exercises demonstrating how to pick fields from related objects or lists.

Salesforce AI Specialist Study Guide Outlines best practices for referencing related records and fields in generative AI prompts.