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TEST BORRADO, QUIZÁS LE INTERESE: GenIASpecialist SFDC

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Título del Test: GenIASpecialist SFDC Descripción: 29/10/2024 Test GenIASpecialist Autor: Bele OTROS TESTS DEL AUTOR Fecha de Creación: 29/10/2024 Categoría: Informática Número Preguntas: 88

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Leadership needs to populate a dynamic form field with a summary or description created 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 considered in their AI strategy. Which prompt template type should the AI Specialist recommend? Sales Email Field Generation Record Summary . 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? Response accuracy and offensiveness score Hallucination score and bias score Masked data and toxicity score . Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) ina prompt template. 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. . What is an AI Specialist able to do when the “Enrich event logs with conversation data" setting in Einstein Copilot is enabled? View the user click path that led to each copilot action. View session data including user input and copilot responses for sessions over the past 7 days. Generate detailed reports on all Copilot conversations over any time period. 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 resolve the issue? Enable data masking for sandbox refreshes. Configure data masking in the Einstein Trust Layer setup. Add new data masking rules in LLM setup. 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 records related to the prompt have not been selected. The prompt has not been saved and activated. A merge field has not been inserted in the prompt. Universal Containers’ data science team is hosting a generative large language model (LLM) on Amazon Web Services (AWS). What should the team use to access externally-hosted models in the Salesforce Platform? Model Builder App Builder Copilot 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 accommodate 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. . An administrator is responsible for ensuring the security and reliability of Universal Containers' (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 Dynamic grounding with secure data retrieval Zero-data retention policy. 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. How does Einstein Copilot handle user requests in Salesforce? Einstein Copilot will trigger a flow that utilizes a prompt template to generate the message. 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. . 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 Account Plan Create Close Plan. How does the Einstein Trust Layer ensure that sensitive data is protected while generating useful and meaningful responses? Masked data will be de-masked during response journey. Masked data will be de-masked during request journey. Responses that do not meet the relevance threshold will be automatically rejected. 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 requirement? 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. . What is the role of the large language model (LLM) in executing an Einstein Copilot Action? Find similar requests and identify actions that need to be executed. Identify the best matching actions and the correct order of execution. Determine a user's access and sort actions by priority to be executed. . 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 to this itinerary. The service agent needs to review the Knowledge articles about canceling and rebooking the customer flights. Which Einstein Copilot capability helps the agent accomplish this? Execute tasks based on available actions, answering questions using information from accessible Knowledge articles. Invoke a flow that makes a call to external data to create a Knowledge article. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights. 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 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 dynamic debugging to show the inputs and outputs. In Copilot Builder within the Dynamic Panel, confirm the selected action and observe the values in Input and Output sections. In Copilot Builder, verify the utterance entered by the user and review session event logs for debug information. . 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 Reply Recommendations Einstein Knowledge Recommendations . 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 Delete Record Action permission is not associated with the user. Einstein Copilot does not have the permission to delete the user's records. Einstein Copilot does not support the Delete Record action. . 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 Actions page or Global Actions. Copilot Detail page, Global Actions, or the record page for the copilot action. . Universal Containers wants to reduce overall agent handling time by minimizing the time spent typing routine answers for common questions in chat, and reducing post-chat analysis by suggesting values for case fields. Which combination of Einstein for Service features enables this effort? Einstein Service Replies and Work Summaries Einstein Reply Recommendations and Case Summaries Einstein Reply Recommendations and Case Classification. Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Einstein Copilot to improve its processes. What is a key reason for implementing Einstein Copilot? Improving data entry and data cleansing Allowing AI to perform tasks without user interaction Streamlining workflows and automating repetitive tasks . Northern Trail Outfitters (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 Einstein Copilot. Turn on Einstein Generative AI. Turn on Prompt Builder. 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 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 the 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. . 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 user does not have the Prompt Template User permission set assigned. The prompt template associated with the summary field is not activated for that user. The user does not have the field Generative AI User permission set assigned. . Universal Containers (UC) 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 Data Cloud to be provisioned. Storing this data requires a custom object for data to be configured. Storing this data requires Salesforce big objects. In Model Playground, which hyperparameters of an existing Salesforce-enabled foundational model can an AI Specialist change? Temperature, Frequency Penalty, Presence Penalty Temperature, Top-k sampling, Presence Penalty Temperature, Frequency Penalty, Output Tokens . 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. In Setup, use Prompt Builder to send a prompt to the LLM requesting the masked data. Access the audit trail in Setup and export all user-generated prompts. . 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 . 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 intelligence. Which feature provides insights about competitor mentions and coaching opportunities? Call Summaries Einstein Sales Insights Call Explorer . 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 plans to implement prompt templates that utilize the standard foundation models. What should the AI Specialist consider when building prompt templates in Prompt Builder? Include multiple-choice questions within the prompt to test the LLM's understanding of the context. 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. . Universal Containers (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 defined data source? Service AI Grounding Work Summaries Service Replies . Universal Containers (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, Knowledge, and Case Notes Case and Knowledge Case, Case Emails, and Knowledge . What is the main purpose of Prompt Builder? A tool for developers to use in Visual Studio Code that creates prompts for Apex programming, assisting developers in writing code more efficiently. A tool that enables companies to create reusable prompts 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. . Universal Containers (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 Email Replies Einstein Service Replies for Email Einstein Generative Service Replies for Email . 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? Data Cloud-triggered flow Template-triggered prompt flow Unified-object linking flow . Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe 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? Not safe Safe Moderately safe. 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? Save as New Template and edit as needed. Clone the existing template and modify as needed. Save as New Version and edit as needed. . The marketing team at Universal Containers is looking for a way to personalize emails based on customer behavior, preferences, and purchase history. Why should the team use Einstein Copilot as the solution? To generate relevant content when engaging with each customer. To analyze past campaign performance. To send automated emails to all customers. Universal Containers wants to use an external large language model (LLM) in Prompt Builder. What should an AI Specialist recommend? Use Apex to connect to an external LLM and ground the prompt. Use BYO-LLM functionality in Einstein Studio. Use Flow and External Services to bring data from an external LLM. Universal Containers is interested in improving 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 customer lifetime value of an account. Predict most popular products from new product catalog. 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 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 Output Types Action Triggers. 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. 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 should have View All access. The User related list needs to be included on the record page. The User related list is not supported in prompt templates. Which use case is best supported by Salesforce Einstein Copilot's capabilities? Bring together a conversational interface for interacting with AI for all Salesforce users, such as developers and eCommerce retailers. Enable Salesforce admin users to create and train custom large language models (LLMs) using CRM data. Enable data scientists to train predictive AI models with historical CRM data using built-in machine learning capabilities. 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 maximum number of related list merge fields. The choice between XML and JSON rendering formats for the list. . 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 criterion that Einstein Copilot for Sales uses to match similar opportunities? Matched opportunities are limited to the same account. Matched opportunities were created in the last 12 months. Matched opportunities have a status of Closed Won from the last 12 months. . Universal Containers (UC) 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 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. Custom sales email template which is grounded with interest and product information. Standard email draft with Einstein and choose a standard email template. . 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? Apex trigger. SOQL. Flows. Universal Containers (UC) wants to assess Salesforce's generative AI features but has concerns over its company data being exposed to third-party large language models (LLMs). 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 these requirements? Prompt Defense. Zero-Data Retention Policy. Data Masking. CRM-derived grounding data, pick the model to use, and test and validate the generated responses. What is the correct process to leverage Prompt Builder in a Salesforce org? 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. 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. 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. 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. Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishes to create a digest of account action plans using the generative API feature. Which API service should UC use to meet this requirement? REST API Metadata API SOAP API. 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 u Einstein Copilot Prompt Builder Model Builder. An AI Specialist is tasked with configuring 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) on the OpenAI platform. Security and data privacy are critical concerns for the client. How should the AI Specialist integrate the custom LLM into Salesforce? Create an application of the custom LLM and embed it in Sales Cloud via iFrame. Add the fine-tuned LLM in Einstein Studio Model Builder. Enable model endpoint on OpenAI and make callouts to the model to generate emails. What should an AI Specialist consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder? The Activities related list on the Account object is not supported because it is a polymorphic field. If person accounts have been enabled, merge fields will not be available for the Account object. Prompt generation will yield no response when there is no related list associated with an Account in runtime. . 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? Make Less Formal Enhance Friendliness Optimize for Clarity. An HR team needs to create personalized onboarding materials for new employees across different departments. These materials should include department-specific training plans, company policies, and customized welcome messages. The team wants to ensure consistency across all documents while saving time in the creation process. Should they use Prompt Builder, and why? Yes, because Prompt Builder can generate consistent and customized onboarding materials based on predefined templates No, because onboarding materials require a personal touch that AI cannot provide Yes, but only for generating generic content like company policies, not for personalized sections No, because Prompt Builder is more suitable for customer-facing content, not internal documents. A sales team wants to ensure that their AI-generated emails are always based on the most recent customer interaction data stored in the CRM, such as recent purchases or support cases. Which grounding technique should they use to achieve this? Using static text templates Referencing historical sales reports Integrating real-time CRM data into the prompts Leveraging external data sources like social media profiles. In a scenario where customer service agents need AI-generated summaries of case details after resolving an issue, which Einstein for Service feature should be used? Einstein Reply Recommendations Einstein Case Wrap-Up Einstein Case Classification Einstein Next Best Action . A tech startup is building a chatbot to assist users with complex troubleshooting tasks. The team is debating between using a standard Salesforce LLM, customizing their own model, or bringing in an external LLM that was trained on a vast amount of technical documentation. Under which condition would it be most appropriate to configure a custom generative model? When the startup requires the chatbot to understand and generate responses based on very specific, in-house technical terminology that standard models might not cover When the startup needs the chatbot to handle basic customer inquiries that do not require technical depth When the startup wants to use a model trained exclusively on general, public domain technical documents When the startup has a very limited dataset and no specific customization needs. A customer service center wants to provide customers with immediate answers to common questions, such as business hours or return policies, even outside of normal working hours. The team needs a feature that can automate these interactions without requiring agent involvement. Which Einstein for Service feature should they implement? Einstein Case Classification Einstein Bot Einstein Article Recommendations Einstein Next Best Action . A marketing team wants to leverage a pre-trained Large Language Model (LLM) provided by Salesforce to generate personalized email content. What is the most appropriate first step in configuring this model? Re-training the model with new data Selecting the standard generative model in Salesforce Integrating an external API to modify the model's behavior Disabling all default configurations to start from scratch. A sales manager wants to ensure that all client interactions, such as emails and meetings, are automatically logged into the CRM without the need for manual input. This will help maintain accurate records and improve team efficiency. Which Einstein feature should the sales manager implement? Einstein Opportunity Scoring Einstein Activity Capture Einstein Next Best Action Einstein Email Insights. When configuring a custom generative model in Salesforce Model Builder, which step is crucial to ensure the model’s effectiveness in generating relevant outputs? Selecting the right pre-training data Choosing a model with the highest possible number of layers Integrating the model with Salesforce’s CRM data Setting the model to prioritize performance over accuracy. After implementing Einstein Copilot, your company notices that some departments are not fully utilizing the tool. To improve adoption, you want to identify the specific barriers to its usage. What is the best method to gain insights into these challenges? Implement a survey to collect feedback from users on their experience with Copilot Schedule daily meetings to discuss Copilot usage Mandate the use of Copilot in all processes without exceptions Review only the successful cases where Copilot was used . A sales team is ready to start using a new prompt template that has been created and assigned to them. What must they do to execute the prompt template in their daily workflow? Manually enter the prompt template each time Select and run the template from the available options in Salesforce Wait for the administrator to trigger the template for them Create a duplicate of the template each time they need to use it. How does the Large Language Model (LLM) in Einstein Copilot determine the appropriate action to take when a user asks for help with generating a sales report? By analyzing the user's tone and mood By recognizing specific keywords and phrases related to sales reports By executing the most frequently used command by other users By sending the query to a human supervisor for manual execution . An organization wants to delegate the execution of predefined prompt templates to specific users who will generate content using these templates without altering them. Which user role should be assigned this task? Content Creator Salesforce Developer Prompt Executor System Administrator. A financial services company needs to assess the credit risk of loan applicants based on their financial history and other relevant factors. When should they use Model Builder? When manually reviewing each applicant's credit history When calculating loan interest rates using a standard formula When developing a model to predict the likelihood of loan default based on applicant data When sending automated approval emails to low-risk applicants. Your team has successfully created and activated a prompt template in Salesforce. What is the final step to ensure that the template is utilized in the intended business process? Run a training session for all users Execute the template within the relevant Salesforce processes Send a notification to management Archive the template for future reference. A company wants to generate personalized customer emails using a pre-trained model that Salesforce provides out of the box. What is the first step they should take to configure this model? Import the company's entire customer database into the model Select the standard generative model available in Salesforce Develop custom machine learning algorithms from scratch Connect the model to an external AI service for configuration. A sales director needs to project the upcoming quarter’s sales performance based on the current pipeline, historical trends, and real-time data. The director wants to use AI to predict future revenue and identify potential risks in achieving sales targets. Which Einstein feature should the director use? Einstein Lead Scoring Einstein GPT for Sales Predictions Einstein Opportunity Insights Einstein Forecasting. Which user role is best suited to manage and maintain prompt templates within Salesforce, ensuring they align with business needs? Sales Representative Marketing Manager System Administrator Customer Service Agent. A company has rolled out Einstein Copilot and needs to ensure that its adoption leads to measurable business outcomes. The management team wants to link Copilot usage to key business metrics such as sales growth and customer satisfaction. What is the best method to achieve this? Regularly compare the performance of departments using Copilot with those that aren't Focus only on qualitative feedback from users about their Copilot experience Integrate Copilot usage data with business performance dashboards to correlate usage with key metrics Evaluate the impact of Copilot after a year of usage without intermediate checks. A retail company wants to use a large language model (LLM) to generate personalized product descriptions based on customer preferences and past purchase behavior. They are evaluating whether to configure a standard generative model provided by Salesforce, create a custom model, or implement their own Bring Your Own Large Language Model (BYOLLM). Which option should they choose if they need highly tailored outputs and want full control over the model’s behavior? Use a standard generative model provided by Salesforce Configure a custom generative model within Salesforce Implement a Bring Your Own Large Language Model (BYOLLM) Use a third-party service to generate product descriptions. What should be the primary focus when managing the adoption of Einstein Copilot across different departments? Ensuring that all departments have equal usage of Einstein Copilot Providing targeted training and support based on department-specific use cases Monitoring the overall system performance to prevent any slowdowns Forcing all employees to use Einstein Copilot regardless of their role. A company is using Salesforce Einstein to analyze customer data and generate predictive insights. They need to ensure that sensitive employee salary information is not included in any Einstein analytics due to strict internal data governance policies. How can the company implement this using the Einstein Trust Layer? Use Field-Level Security to hide the salary information from all users Apply Einstein Data Exclusion to exclude salary information from being processed by Einstein Encrypt the salary fields using Salesforce Shield Encryption Remove the salary fields from the Salesforce schema. When would it be most appropriate to create a custom copilot action in Salesforce Einstein? When you need to automate a repetitive task that is common across all industries When a specific business process requires unique data inputs and custom logic When you want to use Salesforce’s default functionalities without modification When you need to generate a standard sales report. A marketing team in a large enterprise is tasked with creating and managing AI-driven campaigns using Salesforce’s Prompt Builder. The team consists of content creators, data analysts, and a marketing manager. Which user role should be assigned to the marketing manager to ensure they can both manage and execute prompt templates effectively? Content Creator Data Analyst Prompt Template Administrator Campaign Viewer. Which of the following is the primary consideration when configuring a Bring Your Own Large Language Model (BYOLLM) in Salesforce? Ensuring the model is pre-trained on Salesforce-specific data Verifying the model complies with Salesforce’s API standards Making sure the model is deployed on a Salesforce-compatible infrastructure Ensuring the model has a high number of parameters for better accuracy. A team is tasked with creating a prompt template to be used across multiple departments, each with different objectives. What key consideration should guide the creation of this template to ensure it meets the needs of all departments? Incorporating department-specific terminology Keeping the prompt template as general as possible Limiting the template to predefined outputs Ensuring that the template is easy to modify by all users . A Salesforce implementation team is setting up a series of prompt templates that will be used across multiple departments, including marketing and customer service. They need to ensure that only qualified users can modify these templates while allowing broader access for execution. Which user role should be assigned the responsibility of modifying and managing these prompt templates? Marketing Specialist Salesforce Consultant Content Editor IT Manager. An organization wants to monitor the adoption of Einstein Copilot among its customer service agents and identify areas for improvement. What is the most appropriate approach for tracking and evaluating Copilot usage? Analyze the frequency of Copilot actions across all agents using Salesforce dashboards Conduct weekly surveys asking agents if they are using Copilot Set monthly targets for Copilot usage and penalize agents who do not meet them Assign a team member to manually track Copilot usage by observing agent workflows. When a user asks Einstein Copilot to schedule a follow-up meeting with a client, how does the large language model (LLM) execute this action? The LLM directly modifies the user’s calendar in Salesforce without further verification The LLM interprets the user’s request, identifies the appropriate action, and uses Salesforce’s scheduling API to create a calendar event The LLM sends a generic email to the client requesting a meeting time The LLM requires manual input from the user to execute the scheduling. A customer support team is integrating Salesforce Einstein Copilot into their operations. They plan to use standard copilot actions to automate ticket creation and follow-ups but also need to create custom actions for handling escalations based on specific criteria, such as issue severity and customer status. What is the best approach for implementing these actions? Apply standard copilot actions for both routine and complex tasks to simplify the process Focus on developing custom copilot actions for all tasks to ensure full customization Leverage standard copilot actions for routine tasks and create custom actions for escalations that require specific handling Use a manual process for all tasks to ensure accuracy and control over the support process.

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