How should an AI Specialist obtain related items for creating a Sales Email with a custom prompt template? Utilize a standard email template and manually insert the required data fields. Call a prompt initiated flow to fetch and ground the required data. Create a flex template that takes the records in question as inputs. Use a pre-defined template without modifications.

Call a prompt initiated flow to fetch and ground the required data.

What could be a possible explanation for poor prompt performance when case summaries generated by Einstein Generative AI are not returning appropriate information? The Einstein Trust Layer is incorrectly configured. The prompt template version is incompatible with the chosen LLM. The data being used for grounding is incorrect or incomplete. The user permissions are not set correctly.

The data being used for grounding is incorrect or incomplete.

Why might the preview button be greyed out when checking the response of a Flex prompt template? The records related to the prompt have not been selected. The prompt has not been saved and activated. The template is not linked to any data source. A merge field has not been inserted in the prompt.

The records related to the prompt have not been selected.

Which AI capability should Universal Containers use to offer personalized service experiences and reduce agent handling time with AI-generated email responses? Einstein Service Replies for Email Einstein Automated Responses Einstein Generative Service Replies for Email Einstein Email Replies

Einstein Service Replies for Email

How should an AI Specialist begin validating that the correct fields are being masked in Data Masking within the Einstein Trust Layer? Use a Flow-based resource in Prompt Builder to debug the fields merge values using Flow Debugger. Manually check each field for masking compliance. Request the Einstein Generative AI Audit Data from the Security section of the Setup menu. Enable the collection and storage of Einstein Generative AI Audit Data on the Einstein Feedback setup page.

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

How should an AI Specialist gather the necessary data for a prompt template to fill a custom field named Latest Opportunities Summary on the Account object? Select the latest Opportunities related list as a merge field. Select the Account Opportunity object as a resource when creating the prompt template. Use a standard report to gather the data. Create a flow to retrieve the opportunity information.

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

Why should the marketing team at Universal Containers use Einstein Copilot to personalize emails based on customer behavior, preferences, and purchase history? To generate relevant content when engaging with each customer To analyze past campaign performance To send automated emails to all customers To track email open rates

To generate relevant content when engaging with each customer

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Cards in this deck(73)

How should an AI Specialist obtain related items for creating a Sales Email with a custom prompt template?

What could be a possible explanation for poor prompt performance when case summaries generated by Einstein Generative AI are not returning appropriate information?

Why might the preview button be greyed out when checking the response of a Flex prompt template?

Which AI capability should Universal Containers use to offer personalized service experiences and reduce agent handling time with AI-generated email responses?

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

How should an AI Specialist gather the necessary data for a prompt template to fill a custom field named Latest Opportunities Summary on the Account object?

Which AI model should Universal Containers use to send different emails to customers based on their lifetime value score and market segment, while explaining why an email was selected?

Which AI capability should the sales team at a hotel resort use to generate a guest summary about interests and provide recommendations based on activity preferences?

Which grounding technique should an AI Specialist use to configure the system for sending personalized follow-up emails to leads based on interactions and data stored in Salesforce?

Why should the marketing team at Universal Containers use Einstein Copilot to personalize emails based on customer behavior, preferences, and purchase history?

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

Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

What is best practice when refining Einstein Copilot custom action instructions?

How should an AI Specialist integrate a custom LLM into Salesforce, considering security and data privacy concerns?

What is the cause of random failures with token limit errors in a Field Generation prompt template?

Which solution should Universal Containers use to reduce overall agent handling time by minimizing time spent typing routine answers for common questions in-chat?

How does Einstein Copilot handle user requests in Salesforce?

What should an AI Specialist recommend to allow sales reps to only execute prompt templates?

Which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles when a customer chat is initiated?

Which API service should Universal Containers use to create a digest of account action plans using the generative API feature?

After provisioning Data Cloud, which step must an AI Specialist take to make the Einstein Trust Layer option available to Northern Trail Outfitters?

Which permission sets should an AI Specialist assign to a data scientist who needs to view and manage models in Einstein Studio and create prompt templates in Prompt Builder?

Which action should an AI Specialist take in the Trust Layer to confirm that toxicity is being appropriately managed when detecting toxic language in content generated by an LLM?

Which solution should Universal Containers use to ensure Einstein AI can draft responses from a defined data source, given concerns about legacy fields with potentially irrelevant data?

What should an AI Specialist check before creating a Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?

Which use case functionality of Model Builder aligns with Universal Containers' request to address customer contract cancellations by implementing a proactive outreach program?

Which prompt template type should an AI Specialist use to populate a field with generated output, considering the Einstein Trust Layer is enabled?

Which type of flow should Universal Containers use to bring data from unified Data Cloud objects to prompt templates?

Which Salesforce feature should a Salesforce AI Specialist recommend to address the time-consuming process of typing prompts for public Generative AI models?

Which feature should the AI Specialist recommend to the sales team to help sales reps reach their sales quotas by providing AI-generated plans?

Which use case is best supported by Salesforce Einstein Copilot's capabilities?

Which option is available for an AI Specialist to choose for a custom copilot action in Einstein Copilot?

Which objects should Universal Containers select to configure Service AI Grounding to ensure AI-generated responses are grounded in the most relevant data sources?

How should an AI Specialist monitor Copilot's usability and the assignment of actions in a pilot program integrating conversational AI with Einstein Copilot?

Which tool should an AI Specialist recommend to understand multiple real-world user utterances before activating a custom copilot action?

What should the AI Specialist recommend to understand how prompt text is sent to the LLM, how it is masked, and the masked response?

What is the primary function of the planner service in the Einstein Copilot system?

What is the correct process to leverage Prompt Builder in a Salesforce org?

What should an AI Specialist recommend to use an external large language model (LLM) in Prompt Builder?

Which audit data is available using the Einstein Trust Layer when leveraging it with Einstein Generative AI Audit Data?

What should an AI Specialist recommend to make a sales proposal and directly use data from multiple unrelated objects in a prompt template?

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

Which steps should an AI Specialist take to use the content of a standard email prompt template and customize it to fully meet business requirements?

What should the development team review in the Custom Copilot Action configuration to identify one of the core components of a Custom Copilot Action?

How does a template work in relation to universal and service?

What is the primary function of the planner service in the Einstein Copilot system?

When configuring a prompt template, what information does the Resolution text provide?

What should the AI Specialist do to customize the standard case summary response from Einstein Copilot?

What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?

What should an AI Specialist consider when grounding a new prompt template with the User related list?

Which features should the AI Specialist recommend to improve the productivity of the service center operation using Einstein Generative AI?

How should an AI Specialist apply the power of conversational AI to allow service agents to query the current fulfillment status of an order with natural language?

Which prompt template type should the AI Specialist recommend to populate a dynamic form field with a summary or description created by a large language model (LLM)?

What is an AI Specialist able to do when the 'Enrich event logs with conversation data' setting in Einstein Copilot is enabled?

What should an AI Specialist recommend to resolve the issue of current AI data masking rules not aligning with organizational privacy and security policies?

What should the data science team use to access externally-hosted models in the Salesforce Platform when hosting a generative LLM on Amazon Web Services (AWS)?

Which feature in the Einstein Trust Layer best supports Universal Containers' need for enhanced data protection and up-to-date AI capabilities?

How can you improve sales in relation to data integration?

Which Einstein Copilot capability helps a service agent review Knowledge articles about canceling and rebooking customer flights?

What should the AI Specialist do to identify the root cause of a copilot custom action not delivering expected results in the conversation preview?

Which feature in Einstein for Service should the support team use to provide quick, relevant responses to customer inquiries grounded in the organization's knowledge base?

What is the reason for Einstein Copilot not deleting activities from the past 7 days for a user?

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

What is a key reason for implementing Einstein Copilot to enhance operational efficiency in Universal Containers?

Which solution should an AI Specialist implement to allow users to enter a sales order number and create a summary of the sales order header and details?

What is the most likely cause of one user not seeing the generative AI-enabled field icon next to the summary field, despite a high adoption rate of the feature?

What is a consideration for storing audit and feedback data for reporting purposes when implementing Einstein Generative AI?

Which hyperparameters of an existing Salesforce-enabled foundational model can an AI Specialist change in Model Playground?

How should an organization use the Einstein Trust layer to audit, track, and view masked data?

Which feature provides insights about competitor mentions and coaching opportunities by analyzing voice and video call records?

What should the AI Specialist consider when building prompt templates in Prompt Builder that utilize the standard foundation models?

Which objects should Universal Containers select to configure Service AI Grounding to ensure AI-generated responses are grounded in the most relevant data sources?

What is the main purpose of Prompt Builder?

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