Cortinas de oro

An AI Specialist is tasked with configuring a generative model to crete personalized sales emails using customer data stored in Salesforce. The AI specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the clients. How should the AI Specialist integrate the custom LLM into Salesforce?. Enable model endpoint on OpenAI and make callouts to the model to generate emails. Add the fine-tuned LLM in Einstein Studio Model Builder. Create an application of the custom LLM and embed it in Sales Cloud via iFrame.

Leadership needs to populate a dynamic form field with a summary or description created by a LLM to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI Strategy. Which prompt template type should the AI Specialist recommend?. Field Generation. Record Summary. Sales Email.

Universal Containers implements Custom Copilot Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Copilot Action to ensure proper configuration and functionality. What should the development team review in the Custom Copilot Action configuration to identify one of the core components of a Custom Copilot Action?. Instructions. Action Triggers. Output Types.

NTO wants to configure Einstein Trust Layer in its production org but is unable to see the option on the Setup page. After provisioning Data Cloud, which step must an AI specialist take to make this option available to NTO?. Turn on Prompt Builder. Turn on Einstein Generative AI. Turn on Einstein Copilot.

Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a prompt battle. What should the AI Specialist recommend?. Create a Flex template to add resources with standard and custom objects as inputs. Create a prompt template passing in a special custom object that connects the records temporarily. Create a prompt template-triggered flow to access the data from standard and custom objects.

An admin is responsible for ensuring the security and reliability of UC CRM Data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt. Which feature in the Einstein Trust Layer best supports UC's need?. Data masking. Zero-data retention policy. Dynamic grounding with secure data renewal.

Which use case is best supported by Salesforce Einstein Copilot's capabilities?. Bring together a conversation interface for interacting with AI for all Salesforce users, such as developers and ecommerce retailers. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities. Enable Salesforce admin users to create and train custom LLMs using CRM data.

UC wants to implement a solution in Salesforce with a custom UX that allow users to enter a sales order number. Subsequently, the system will invoke a custom prompt template to create and display a summary of the sales order header and sales order details. Which solution should an AI Specialist implement to meet this requirement?. Create a screen flow to collect sales order number and invoke the prompt template using the standard "Prompt Template" flow action. Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action. Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action.

An AI Specialist is creating a custom action in Einstein Copilot. Which option is available for the AI Specialist to choose for the custom copilot action?. Flows. Apex Trigger. SOQL.

An AI Specialist implements Einstein Sales emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The AI Specialist needs to configure the system to use the most accurate and up-to-date information for email generation. Which grounding technique should the AI Specialist use?. Ground with Apex Merge Fields. Ground with Record Merge Fields. Automatic grounding using Draft with Einstein feature.

UC has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses. Which solution should UC use to ensure Einstein AI can draft responses from a define data source?. Service Replies. Service AI Grounding. Work Summaries.

How should an organization use the Einstein Trust layer to audit, track, and view masked data?. In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data. Access the audit trail in Setup and export all user-generated prompts. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.

A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Einstein Copilot directly interfaces with a LLM to fetch and display responses to user inquiries, facilitating a broad range of requests from users. How does Einstein Copilot handle user requests in Salesforce?. Einstein Copilot will perform an HTTP callout to an LLM provider. Einstein Copilot analyzes the user's request and LLM technology is used to generate and display the appropriate response. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.

What is the main purpose of Prompt Builder?. A tool within Salesforce offering real-time AI-powered suggestions and guidance to users, improving productivity and decision-making. A tool for developers to use in Visual Studio Code that create prompts for Apex programming, assisting developers in writing code more efficiently. A tool that enables companies to create reusable prompts for LLMs bringing generative AI responses to their flow of work.

Universal Containers wants to use an external LLM in Prompt Builder. What should an AI Specialist recommend?. Use Flow and External Services to bring data from an external LLM. Use BYO-LLM functionality in Einstein Studio. Use Apex to connect to an external LLM and ground the prompt.

An AI Specialist wants to ground a new prompt template with the User Related list. What should the AI Specialist consider?. The User related list needs to be included on the record page. The User related list should have View All access. The User related list is not supported in prompt templates.

What is an AI Specialist able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot in enabled?. View the user click path that led to each copilot action. Generate details reports on all Copilot conversations. View session data including user input and copilot responses for sessions.

Universal Containers is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes. What is a consideration for this requirement?. Storing this data requires Salesforce big objects. Storing this data requires a custom object for data to be configured. Storing this data requires Data Cloud to be provisioned.

Universal Containers is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is sales and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. What does a safety category score of 1 indicate in the Einstein Generative AI Toxicity Score?. Safe. Not Safe. Morately Safe.

Universal Containers is planning a marketing email about products that most closely match a customer's expressed interests. What should an AI Specialist recommend to generate this email?. Standard email marketing template using Apex or flows for matching interest in products. Standard email draft with Einstein and choose email template. Custom sales email template which is grounded with interest and product information.

An AI Specialist wants to use the related lists from an account in a custom prompt template. What should the AI Specialist consider when configuring the prompt template?. The choice between XML and JSON rendering formats for the list. The maximum number of related list merge fields. The text encoding (for example UTF-8, ASCII) option.

Universal Containers wants to enable its sales reps to explore opportunities that are similar to previously won opportunities by entering the utterance, "Show me other opportunities like this one". How should UC achieve this in Einstein Copilot?. Use the Standard Copilot action. Create a custom Copilot action calling a flow. Create a Custom Copilot action calling an apex class.

Universal Containers recently launched a pilot program to integrate conversation AI into its CRM business operations with Einstein Copilot. How should the AI Specialist monitor Copilot's usability and the assignment of actions?. Query the Copilot log data using the metadata API. Run a report on the Platform Debug Logs. Run Einstein Copilot Analytics.

The marketing team at UC is looking for a way to personalize emails based on customer behaviour, preferences and purchase history. Why should the team use Einstein Copilot?. To generate relevant content when engaging with each customer. To analyze past campaign performance. To send automated emails to all customer.

UC wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?. Template-triggered prompt flow. Unified-object linking flow. Data Cloud-triggered flow.

UC is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implemetnign Einstein Copilot to improve its processess. What is a key reason for implementing Einstein Copilot?. Allowing AI to perform tasks without user interaction. Improving data entry and data cleansing. Streamlining workflows and automating repetitive tasks.

UC is implementing Service AI Grounding to enhance its customer service operations. UC wants to ensure that its AI-generated responses are grounded in the most relevant data sources. The team needs to configure the system to include all supported objects for grounding. Which objects should UC select to configure Service AI Grounding?. Case and Knowledge. Case, Case Emails and Knowledge. Case, Knowledge and Case Notes.

A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about cancelling and rebooking the customer flights. Which Einstein Copilot capability helps the agent accomplish this?. Execute tasks based on avaialble actions, answering questions using information from accesible Knowledge articles. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights. Invoke a flow which makes a call to external data to create a Knowledge article.

Universal Containers' data science team is hosting a generative LLM on Amazon Web Services (AWS). What should the team use to access externally-hosted models in the Salesforce platform?. Copilot Builder. App Builder. Model Builder.

An AI Specialist built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?. The number of tokens generated by the dynamic nature of the prompt template will vary by record. The template type needs to be switched to Flex to accomodate the variable amount of tokens generated by the prompt grounding. The number of tokens that can be processed by the LLM varies with total user demand.

Universal Containers is interested in improving the sales operation efficiency by analyzing their data using AI-powered predictions in Einstein Studio. Which use case works for this scenario?. Predict customer sentiment toward a promotion message. Predict most popular products from a new catalog. Predict customer lifetime value of an account.

UC wants to offer personalized service experiences and reduce agent handling time with AI-generated email responses, grounded in Knowledge base. Which AI capability should UC use?. Einstein Service Replies for Email. Einstein Email Replies. Einstein Generative Service Replies for Emails.

Universal Containers implemented Einstein Copilot for its users. One user complains that Einstein Copilot is not deleting activities from the past 7 days. What is the reason for this issue?. Einstein Copilot Deleter Record Action permission is not associated to the user. Einstein Copilot does not have the permission to delete the user's records. Einstein Copilot does not support the Delete Record Action.

In Model Playground, which hyperparameters of an existing Salesforce-enabled foundational model can an AI Specialist change?. Temperature, top-k sampling, Presence Penalty. Temperature, Frequency Penalty, Presence penalty. Temperature, Frequency Penalty, Output Tokens.

UC 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 and customize it to fully meet the business requirement?. Clone the existing template and modify as needed. Save as New Version and edit as needed. Save as New Template and edit as needed.

An AI Specialist has created a copilot custom action using flow as the reference action type. However it is no delivering the expected results to the conversation preview, and therefore needs troubleshooting. What should the AI Specialist do to identify the root cause of the problem?. In Copilot Builder, within the Dynamic Panel, turn on the dynamic debugging to show the inputs and outputs. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information. In Copilot Builder, within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections.

Based on the user utterance, "Show me all the customers in New York", which standard Einstein Copilot action will the planner service use?. Query Records. Select Records. Fetch Records.

Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing AI-generated plans containing guidance and steps for closing deals. Which feature should the AI Specialist recommend to the sales team?. Find Similar Deals. Create Close Plan. Create Account Plan.

Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team's performance by identifying areas for improvement and competitive inteliigence. Which geature provides insights about competitor mentions and coaching opportunities?. Call Summaries. Einstein Sales Insights. Call Explorer.

Where should the AI Specialist go to add/update actions assigned to a copilot?. Copilot actions page or global actions. Copilot Detail Page, Global Actions, or the record page for the copilot action. Copilot Actions Page, the record page for the copilot action, or the copilot action library tab.

Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements. What should an AI Specialist recommend to solve the issue?. Enable data masking for sandbox refreshes. Add new data masking rules in LLM setup. Configure data masking in the Einstein Trust Layer Setup.

Universal Containers (UC) wants to enable its sales team to get insights into product and comeptitor names mentioned during calls. How should UC meet this requirement?. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets and customize insights with up to 25 products. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products. Enable Einstein Conversation Insights, assign permission sets, define recoding managers and customize insights with up to 50 competitor names.

Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishses to create a digest of account action plans using the generative API feature. Which API Service should UC use to meet this requirement?. SOAP API. REST API. Metadata API.

An AI Specialist wants to include data form the response of external service invocation (REST API Callout) into the prompt template. How should the AI Specialist meet this requirement?. Use "Add Prompt Instructions" flow element. Use External Service Record merge fields. Convert the JSON to an XML merge field.

The sales team at a hotel resort would like to generate a guest summary about the guests' interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page. Which AI capability should the team use?. Einstein Copilot. Prompt Builder. Model Builder.

UC wants to assess Salesforce's generative AI features but has concerns over its company data being exposed to third-party LLMs. Specifically, UC wants the following capabilities to be part of Einstein's generative AI service No data is used for LLM training or product improvements by third-party LLMs No data is retained outside of UC's Salesforce org The data sent cannot be accessed by the LLM provider Which property of the Einstein Trust Layer should the AI Specialist highlight to UC that addresses there requirements?. Data Masking. Prompt Defense. Zero-Data Retention Policy.

A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. Which feature in Einstein for Service should the support team use?. Einstein Reply Recommendations. Einstein Service Replies. Einstein Knowledge Recommendations.

How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses?. Responses that do not meet the relevance threshold will be automatically rejected. Masked data will be de-masked during request journey. Masked data will be de-masked during response journey.

What is the correct process to leverage Prompt Builder in a Salesforce org?. 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. Select the appropriate prompt template type to use, select one of Salesforce's standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action. Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer and associate the prompt to an Action.

What should an AI Specialsit consider when using related field list merge fields in a prompt template associated with an account object in Prompt Builder?. The Activities related list on the Account objects is not supported because it is a polymorphic field. Prompt generation will yield no response when there is not related list associated with an Account in runtime. If person accounts have been enabled, merge fields will not be available for the Account Object.

Universal Containers has seen a high adoption rate of a new feature that uses generative AI to populate a summary field of a custom object, Competitor Analysis. All sales users have the same profile but one user cannot see the generative AI-enabled field icon next to the summary field. What is the most likely cause of the issue?. The prompt template associated with summary field is not activated for that user. The user does not have the Prompt Template User permission set assigned. The user does not have the field Generative AI User permission set assigned.

An AI Specialist at Universal Containers is working on a prompt template to generate personalized emails for product demonstration requests from customers. It is important for the AI-generated email to adhere strictly to the guidelines, using only associated opportunity information, and to encourage the recipient to take the desired action. How should the AI Specialist include these instructions on a new line in the prompt template?. Surround them with triple quotes """. Make sure merged fields are defined. Use curly brackets to encapsulate instructions.

Universal Containers plans to implement prompt templates that utilize the standard foundation models. What should the AI Specialist consider when building prompt templates in Prompt Builder?. Ask it to role-play as a character in the prompt template to provide more context to the LLM. Train LLM with data using different writing styles including word choice, intensifiers, emojis and punctuation. Include multiple-choice questions within the prompt to test the LLM's understanding of the context.

Universal Containers is using Einstein Copilot for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the copilot to match opportunities. What is one criteria that Einstein Copilot for Sales users to match similar opportunities?. Matched opportunities are limited to the same account. Matched opportunities have a status of Closed Won from last 12 months. Matched opportunities were created in the last 12 months.

Universal Containers wants to reduce overall agent handling time by minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. What combiantion of Einstein for Service features enables this effort?. Einstein Reply Recommendations and Case Summaries. Einstein Reply Recommendations and Case Classification. Einstein Service Replies and Work Summaries.

An administrator wants to check the response of the Flex prompt template they've built, but the preview button is greyed out. What is the reason for this?. The prompt has not been saved and activated. The records related to the prompt have not been selected. A merge field has not been inserted in the prompt.

An AI Specialist at Universal Containers (UC) is tasked with creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI audit data is captured and monitored for adoption and possible enhancements. Which prompt template type should the AI Specialist use and which consideration should they review?. Flex, and that Dynamic Fields is enabled. Field Generation, and that Dynamic Fields is enabled. Field Generation, and that Dynamic Forms is enabled.

Universal Containers is considering leveraging the Einstein Trust Layer in conjunction with Einstein Generative AI Audit Data. Which audit data is available using the Einstein Trust Layer?. Hallucination score and bias score. Masked data and toxicity score. Response accuracy and offensiveness score.

What is the role of the LLM is executing an Einstein Copilot Action?. Identify the best matching actions and correct order of execution. Find a similar requests and provide the actions that need to be executed. Determine a user's access and sort actions by priority to be executed.

Universal Containers wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?. Make Less Formal. Optimize for clarity. Enhance Friendliness.

Universal Containers is very concerned about security compliance and wants to understand: -Which prompt text is sent to the LLM -How it is masked -The masked response What should the AI Specialist recommend?. Enable audit trail in the Einstein Trust Layer. Review the debug logs of the running user. Ingest the Einstein Shield Event.

Universal Containers tests out a new Einstein Generative AI feature for its sales team to create personalized and contextualized emails for its customers. Sometimes, users find that the draft email contains placeholders for attributes that could have been derived from the recipient's contact record. What is the most likely explanation for why the draft email shows these placeholders?. The user does not have permission to access the fields. The user's locale language is not supported by Prompt Builder. The user does not have Einstein Sales Emails permission assigned.

Universal Containers noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions. Which use case functionality of Model Builder aligns with UC's request?. Contract Renewal Date prediction. Product recommendation prediction. Customer churn prediction.

Universal Container (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Einstein Copilot and extending Service Cloud to mobile users. When would Einstein Copilot implementation be most advantageous?. When the focus is on optimizing marketing campaigns and strategies. When the goal is to streamline customer support processes and improve response times. When the main objective is to enhance data security and compliance measures.

Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?. The Einstein Trust Layer is incorrectly configured. The data being used for grounding is Incorrect or incomplete. The prompt template version is incompatible with the chosen LLM.

Universal Containers (UC) wants to improve the efficiency of addressing customer questions and reduce agent handling time with AI-generated responses. The agents should be able to leverage their existing knowledge base and identify whether the responses are coming from the large language model (LLM) or from Salesfroce Knowledge. Which step should UC take to meet this requirement?. Turn on Service AI Grounding and Grounding with Knowledge. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge. Turn on Service AI Grounding, Grounding With Case, and Service Replies.

Universal Containers implements Custom Copilot Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Copilot Action to ensure proper configuration and functionality. What should the development team review in the Custom Copilot Action configuration to identify one of the core components of a Custom Copilot Action?. Output Types. Instructions. Action Triggers.

What is the primary function of the planner service in the Einstein Copilot System?. Generating record queries based on conversation history. Offering real-time language translation during conversations. Identifying copilot actions to respond to user utterances.

A sales rep at Universal Containers is extremely busy and sometimes will have very long sales calls on voice and video calls and might miss key details. They are just starting to adopt new generative AI features Which Einstein Generative AI feature should an AI Specialist recommend to help the rep get the details they might have missed during a conversation?. Call Explorer. Call Summary. Sales Summary.

An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads based on their interactions and data stored in Salesforce. The AI Specialist needs to configure the system to use the most accurate and up-to-date information for email generation. Which grounding technique should the AI Specialist use?. Ground with Record Merge Fields. Ground with Apex Merge Fields. Automatic Grounding using Draft with Einstein feature.

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 Specialsit gather the necessary data for the prompt template¿. Select the Account Opportunity object as a resource when creating the prompt template. Create a flow to retrieve the Opportunity information. Select the latest Opporutnities related list as a merge field.

What is the correct process to leverage Prompt Builder in a Salesforce org?. Enable the target object for generative prompting, develop the prompt within the prompt workspace, select records to fine-tune and ground the response, enable the Trust Layer, and associate the prompt to an action. 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. Select the appropriate prompt template type to use, select one of Salesforce's standard prompts, determine the object to associate the prompt, select a record to validate against, and associate the prompt to an action.

Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?. Template-triggered prompt flow. Data Cloud-triggered flow. Unified object linking flow.

Where should the AI Specialist go to add/update actions assigned to a copilot?. Copilot Actions page, the record page for the copilot action, or the copilot action library tab. Copilot Detail page, Global Actions, or the record page for the copilot action. Copilot Actions page or Global Actions.

Universal Containers wants to implement a solution in Salesforce with a custom UX that allows users to enter a sales order number. Subsequently, the system will invoke a prompt template to create and display a summary of the sales order header and sales order details. Which solution should an AI Specialist implement to meet this requirement?. Create a screen flow to collect sales order number and invoke the prompt template using the standard 'Prompt Template' flow action. Create an autolaunched flow and invoke the prompt template using the standard "Prompt Template" flow action. Create a template-triggered prompt flow and invoke the prompt template using the standard "Prompt Template" flow action.

An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting. What should the AI Specialist do to identify the root cause of the problem?. Copilot Builder within the Dynamic Panel, confirm selected action and observe the values in Input and Output sections. In Copilot Builder, within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information.

What is the main purpose of Prompt Builder?. A tool that enables companies to create reusable prompt for large language models (LLMs), bringing generative AI responses to their flow of work. A tool within Salesforce offering real-time AI-powered suggestions and guidance to users, Improving productivity and decision-making. A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently.

A Salesforce Administrator is exploring the capabilities of Einstein Copilot to enhance user interaction within their organization. They are particularly interested in how Einstein Copilot processes user requests and the mechanism it employs to deliver responses. THe admininistrator is evaluating whether Einstein Copilot directly interfaces with a large language model (LLM) to fetch and display responses to user inquiries, facilitating a broad range of requests from users. How does Einstein Copilot handle user requests in Salesforce¿. Einstein Copilot will perform an HTTP callout to an LLM provider. Einstein Copilot analyzes the user's request and LLM technology is used to generate and display the appropriate response. Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message.

Universal Containers is evaluating Einstein Generative AI features to improve the productivity of the service center operation. Which features should the AI Specialist recommend?. Service Replies and Case Summaries. Reply Recommendations and Sales Summaries. Service Replies and Work Summaries.

Universal Containers plans to enhance the customer support team's productivity using AI. Which specific use case necessitates the use of Prompt Builder?. Creating a draft of a support bulletin post for new product patches. Creating an AI-generated customer support agent performance score. Estimating support ticket volume based on historical data and seasonal trends.

An AI Specialist wants to include data from the response of external service invocation (REST API callout) into the prompt template. How should the AI Specialist meet this requirement?. Convert the JSON to an XML merge field. Use External Service Record merge fields. Use "Add Prompt Instructions" flow element.

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

Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder, using the 'Save As' function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters. What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?. Revert to using the standard template without modifications. Use Model PLayground to create a model configuration with the specified parameters. Manually add the hyperparameters to the new template.

An AI Specialist needs to create a Sales Email with a custom prompt template. They need to ground on the following data. Opportunity Products Events near the customer Tone and voice examples How should the AI Specialist obtain related items¿. Call prompt initiated flow to fetch and ground the required data. Utilize a standard email template and manually insert the required data fields. Create a flex template that takes the records in question as inputs.

Universal Containers (UC) wants to enable its sales team to get insights into product and competitor names mentioned during calls. How should UC meet this requirements?. Enable Einstein Conversation Insights, assign permission sets, define recording managers and customize insights with up to 50 competitor names. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products. Enable Einstein Conversation Insights, enable sales recording, assign permission sets and customize insights with up to 50 products.

An AI Specialist turned on Einstein Generative AI in Setup. Now, the AI Specialist would like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu. What is causing the problem?. The Prompt Template Manager permission set was not assigned correctly. The Prompt Template User permission set was not assigned correctly. The Large Language Model was not configured correctly in Data Cloud.

Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?. Optimize for Clarity. Enhance Friendliness. Make Less Formal.

An AI Specialist at Universal Containers (UC) Is tasked with creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI audit data is captured and monitored for adoption and possible enhancements. Which prompt template type should the AI Specialist use and which consideration should they review?. Field Generation and that Dynamic Forms is enabled. Field Generation and that Dynamic Fields is enabled. Flex, and that Dynamic Fields is enabled.

Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields. Which combination of Einstein for Service features enables this effort?. Einstein Reply Recommendations and Case Summaries. Einstein Reply Recommendations and Case Classification. Einstein Service Replies and Work Summaries.

An AI Specialist wants to use the related lists from an account in a custom prompt template. What should the AI Specialist consider when configuring the prompt template?. The text encoding (for example, UTF-8, ASCII) option. The choice between XML and JSON rendering formats for the list. The maximum number of related list merge fields.

A support team handles a high volume of chat interactions and needs a solution to provide quick, relevant responses to customer inquiries. Responses must be grounded in the organization's knowledge base to maintain consistency and accuracy. Which feature in Einstein for Service should the support team use?. Einstein Service Replies. Einstein Knowledge Recommendations. Einstein Reply Recommendations.

An AI Specialist is considering using a Field Generation prompt template type. What should the AI specialist check before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?. That the field chosen must be a rich text field with 255 characters or more. That the lightining page layout where the field will reside has been upgraded to dynamic forms. That the org is set to API Version 59 or higher.

An AI Specialist build a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?. The number of tokens generated by the dynamic nature of the promp template will vary by record. The number of tokens that can be processed by the LLM varies with total user demand. The template type needs to be swtiched to Flex to accommodate the varibale amount of tokens generated by the prompt grounding.

Amid their busy schedules, sales reps at Universal Containers dedicate time to follow up with prospects and existing clients via email regarding renewals or new deals. They spend many hours throughout the week reviewing past communications and details about their customers before performing their outreach. Which standard Copilot action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?. Einsitein Copilot Action: Find similar Opportunities. Einstein Copilot Action: Draft or Revise Sales Email. Einstein Copilot Action: Summarize record.

An AI Specialist is reating a custom action in Einstein Copilot. Which option is available for the AI Specialist to choose for the custom copilot action?. Apex Trigger. Flows. SOQL.

An AI Specialist is tasked with configring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) in the OpenAI platform. Security and data privacy are critical concerns for the client. How should the AI Specialsit integrate the custom LLM into Salesfroce?. Add the fine-tuned LLM in Einstein Studio Model Builder. Create an application of the cusom LLM and embed it in Sales Cloud via iFrame. Enable model endpoint on OpenAI and make callouts to the model to generate emails.

When configuring a prompt template, an AI Specialist preview the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. What information does the Resolution text provide?. It shows the response from the LLM based on the sample record. It shows which sensitive data is masked before it is sent to the LLM. It shows the full text that is sent to the Trust Layer.

Leadership needs to populate a dynamic form field with a summary or description creted by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be consdiered in their AI strategy. Which prompt template type should the AI Specailist recommend?. Sales Email. Record Summary. Field Generation.

Universal Containers has a mature Salesforce org with a lot of data in cases and Knowledge articles. UC is concerned that there are many legacy fields, with data that might not be applicable for Einstein AI to draft accurate email responses. Which solution should UC use to ensure Einstein AI can draft responses from a defined data source?. Service AI Grounding. Work Summaries. Service Replies.

Before activating a custom copilot action, an AI Sepcailsit would like to undestand multiple real-world user utterances to ensure the action being selected is appropriate. Which tool should the AI Specialist recommend?. Copilot Builder. Einstein Copilot. Model Playground.

Universal Cointainers has implemented Generatvie AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information. In refininig its prompt ddesign strategy, which key practices should UC prooritize?. Submit a prompt review case to Salesforce and conduct thorough testing in the playground to refine outputs until they meet user expectations. Create concise, clear and consistent prompt templates with effective grounding, contextual role-playing, clear instructions and iterative feedback. Enable promp test mode, allocate different prompt variations to a subset of users for evaulatuion and standardize the most effective model based on performance feedback.

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 and customize it to fully meet the business requirements?. Clone the existing template and modify as needed. Save as New Version and edit as needed. Save as New Template and edit as needed.

The marketing team at Universal Containers is looking for a way to personalize emails based on customer behaviour, preferences, and puchase history. Why should the team use Einstein Copilot as the solution?. To send automated emails to all customers. To generate relevatn content when engaging with each customer. To analyze past campaign performance.

Universal Containers is looking to enhance its operational efficeincy. UC has recently adopted Salesfroce an is considering implementing Einstein Copilot to improve its processes. What is a key reason for implementing it?. Allowing AI to perform tasks without user interaction. Streamlining workflows and automating repetitive tasks. Improving data entry and cleansing.

Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency. Which Salesforce ffeature should a AI Specailist recommend to address these concerns?. Einstein Recommendation Builder. Einstein Prompt Builder and Prompt templates. Einstein Copilot Action: Query records.

Universal Containers is using Einstein Copilot for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the copilot to match opportunities. What is one criteria that Einstein Copilot for Sales uses to match similar opportunities. Matched opportunities are limited to the same account. Matched opportuniies were created in the last 12 months. Matched opportunities have a status of closed won from last 12 months.

The sales team at a hotel resort would like to generate a guest summary about the guest's interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page. Which AI capability should the team use?. Prompt Builder. Einstein Copilot. Model Builder.

Universal Containers plans to send one of three different emails to its customers based on the customer's lifetime value score and their market segment. Considering that UC are required to explain why an email was selected, which AI model should UC use to achieve this?. Predictive model and generative model. Generative model. Predictive model.

When a customer chat is initiated, which functionality in Salesforce provides generative AI replies or draft emails based on recommended Knowledge articles¿. Einstein Grounding. Einstein Service Replies. Einstein Reply Recommendations.

What is best practice when refining Einstein Copilot custom action instructions?. Use consistent introductory phrases and verbs across multiple action instructions. Provide examples of user messages that are expected to trigger the action. Specify the persona who will request the action.

Universal Containers wants to enable its sales reps to explore opportunities that are similar to previpusly won opportunities by entering the utterance 'Show me other opportunities like this one'. How should UC achieve this in Enstein Copilot?. Create a custom Copilot action calling a flow. Use the standard Copilot action. Create a custom copilot action calling an apex class.

A data scientis needs to view and manage models in Einstein Studio. The data scientist also needs to create prompt templates in Prompt Builder. Whcih permission sets should an AI Specailist assign to the data scietnsit?. Data Cloud Admin and Prompt Tmplate Manager. Prompt Template Manager and Prompt Template User. Prompt Tempalte User and Data Cloud Admin.

Universal Containers has recently received an increased number of support cases. As a result, UC has hired more customer support reps and has started to assign some of the ongoing cases to newer reps. Which generative AI solution should the new support reps use to understande the details of a case without reading through each case comment?. Einstein Work Summaries. Einstein Copilot. Einstein Sales Summaries.

A service agent is looking at a custom object that stores travel information. They recently received a weather alert and now need to cancel flights for the customers that are related with this itinerary. The service agent needs to review the Knowledge articles about cancelling and rebooking the customer flights. Which Einstein copilot capability helps the agent accomplish this?. Invoke a flow which makes a call to external data to create a Knowledge article. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles. Generate a Knowledge articles based off the prompts that the agent enters to create steps to cancel flights.

In Model Playground, which hyperparameters of an existing Salesforce-enabled foundations model can an AI Sepcailist change?. Temperature, top-k sampling, presence penalty. Temperature, Frequency penalty, output tokens. Temperature, Frequency penalty, Presence penalty.

What should an AI Specailsit consider when using related merge fields in a prompt template associated with an Account object in Prompt Builder?. Prompt generation will yield no response when there is no related list associated with an Account in runtime. The activities related list on the Account object is not supported because it is a polymorphic field. If person account have been enabled, merge fields will not be avaiaolble for the Account object.

Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities and other key info. The goal is to enhance the team's perfromance by identifying areas for imporvement and competitive intelligence. Which feature provides insights about comeptitor mentions and coaching opportunities?. Call summaries. Call Explorer. Einstein Sales Insights.

Universal Container is considering leveraging the Einstein Trust Layer in conjuction with Einstein Generative AI Audit Data. Which audit data is avaialble using the Eintein Trust Layer?. Masked data and toxicity score. Response accuracy and offensiveness score. Hallucination score and bias score.

How should an organization use the Einstein Trust layer to audit, track, and view masked data?. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud. Access the audit trail in setup and export all user-generated prompts. In Setup, use prompt Builder to send a prompt to the LLM requesting for the masked data.

Universal Containers's service team wants to customize the standard case summary response from Einstein Copilot. What should the AI Specilaist do to achieve this?. Customize the standard Record Summary template for the Case object. Create a Custom Record Summary prompt template for the Case object. Summarize the Case with a standard copilot action.

How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningunful responses?. Responses that do not meet the reelvance threshold will be automatically rejected. Masked data will be de-masked during request Journey. Masked data will be de-masked during response Journey.

The AI Specialist of TRO 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?. Turn off the Einstein Trust Layer and turn it on again. 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. Turn on Einstein Feedback so that end users can report if there are any negative side effects on AI features.

Universal Containers wants to allow its service agents to query the current fulfilment status of an order with natural language. There is an existing auto launched flow to query the information from Oracle ERP, which is the system of record for the order fulfilment process. How should an AI Specialist apply the power of conversational AI to this use case?. Create a Flex prompt template in Prompt Builder. Create a custom copilot action which calls a flow. Configure the Integration Flow Standard action in Einstein Copilot.

Universal Containers wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases. Which feature should the AI Specialist set up to enable UC's sales team?. Call Insights. Call Summaries. Call Explorer.

Based on the user utterance, "Show me all customers in New York", which standard Einstein Copilot action will the planner service use?. Select Records. Fetch Records. Query Records.

Universal Containers Is Interested in improving the sales operation effciency by analyzing the data using AI-powered predicitons in Einstein Studio. Which use case works for this scenario?. Predict customer sentiment toward a promotion message. Predict customer lifetime value of an account. Predict most popular prodcuts from new product catalog.

What is the role of the LLM in executing an Einstein Copilot Action. Determine a user's access and sort actions by priority to be executed. Identify the best matching actions and correct order of execution. Find similar requests and provide actions that need to be executed.

Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?. Data Masking. Secure Data Retrieval and Grounding. Prompt Defense.

Universal Containers wants to be able to detect with a high level confidence if content generated by a LLM contains toxic language. Which action should an AI Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?. Create a flow that sends an email to a specified address each time the toxicity core from the response exceeds a predefined threshold. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic response and their respective score.