Prueba 1 Agentforce Specialist

Which configuration must an AI Specialist complete for users to access generative Al-enabled fields in the Salesforce mobile app?. Enable Mobile Generative AI. Enable Mobile Prompt Responses. Enable Dynamic Forms on Mobile.

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.

Salesforce Administrator is exploring the capabilities of Agentforce to enhance user interaction within their organization. They are particularly interested in how Agentforce processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Agentforce 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 Agentforce handle user requests in Salesforce?. Agentforce analyzes the user's request and LLM technology is used to generate and display the appropriate response. Agentforce will perform an HTTP callout to an LLM provider. Agentforce will trigger a flow that utilizes a prompt template to generate the message.

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 Einstein Sales Emails permission assigned. The user does not have permission to access the fields. The user's locale language is not supported by Prompt Builder.

Universal Containers (UC) is looking to improve its sales team's productivity by providing real-time insights and recommendations during customer interactions. Why should UC consider using Agentforce Sales Agent?. To track customer interactions for future analysis. To streamline the sales process and increase conversion rates. To automate the entire sales process for maximum efficiency.

An AI Specialist is creating a custom action for Agentforce. Which setting should the AI Specialist test and iterate on to ensure the action performs as expected?. Action Input. Action Instructions. Action Name.

Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. The AI Specialist is tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production. Which other configuration steps should the AI Specialist take in the sandbox that can be deployed to the production org?Universal Containers has a strict change management process that requires all possible configuration to be completed in a sandbox which will be deployed to production. The AI Specialist is tasked with setting up Work Summaries for Enhanced Messaging. Einstein Generative AI is already enabled in production, and the Einstein Work Summaries permission set is already available in production. Which other configuration steps should the AI Specialist take in the sandbox that can be deployed to the production org?. Create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields; add the Wrap Up component to the Messaging Session record page layout; and create Permission Set Assignments for the intended agents. From the Einstein Setup menu, select “Turn on Einstein”; create custom fields to store Issue, Resolution, and Summary; create a Quick Action that updates these fields; and add the Wrap Up component to the Messaging Session record page layout. Create custom fields to store issue, Resolution, and Summary; create a Quick Action that updates these fields: and ado the Wrap up component to the Messaging session record page layout.

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 Toxicity Score?. Not safe. Safe. Moderately safe.

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?. A merge field has not been inserted in the prompt. The records related to the prompt have not been selected. The prompt has not been saved and activated.

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 User permission set was not assigned correctly. The Prompt Template Manager permission set was not assigned correctly. The large language model (LLM) was not configured correctly in Data Cloud.

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.

A data science team has trained an XGBoost classification model for product recommendations onDatabricks. The AI Specialist is tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO). How should the AI Specialist set this up?. Create the serving endpoint in Databricks, then configure the model using Model Builder. Create the serving endpoint in Einstein Studio, then configure the model using Model Builder. Create the serving endpoint in Databricks, then configure the model using a Python SDK connector.

Which mechanism within the Einstein Trust Layer helps to ensure that personal data is handled in compliance with data protection regulations like GDPR?. Data Masking. Prompt Defense. Toxicity Scoring.

Anadministrator 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.

What is the best practice when refining Agentforce 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 (UC) has implemented Generative AI within Salesforce to enable summarization of a custom object called Guest. Users have reported mismatches in the generated information. In refining its prompt design strategy, which key practices should UC prioritize?. 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 prompt test mode, allocate different prompt variations to a subset of users for evaluation, and standardize the most effective model based on performance feedback.

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. Prompt generation will yield no response when there is no related list associated with an Account in runtime. If person accounts have been enabled, Account object fields will not be available for the prompt.

An Al 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 OpenAl and make callouts to the model to generate emails.

Which business requirement presents a good use case for leveraging Einstein Prompt Builder?. Send a reply to a request for proposal via a personalized email. Identify potential high-value leads for targeted marketing campaigns. Forecast future sales trends based on historical dataForecast future sales trends based on historical data.

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 Al-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.

Which use case is best supported by Salesforce Agentforce'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.

Universal Containers implemented Agentforce for its users. One user complains that an Agent is not deleting activities from the past 7 days. What is the reason for this issue?. Agentforce Delete Record Action permission is not associated with the user. Agentforce does not have the permission to delete the user's records. Agentforce does not have a standard Delete Record action.

Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?. Field Generation prompt template. Flex Prompt template. Sales Email prompt template.

Universal Containers is rolling out a new generative AI initiative. Which Prompt Builder limitations should the AI Specialist be aware of?. Creations or updates to the prompt templates are not recorded in the Setup Audit Trail. Custom objects are supported only for Flex template types. Rich text area fields are only supported in Flex template types.

Universal Containers (UC) has effectively utilized prompt templates to update summary fields on Lightning record pages. An admin now wishes to incorporate similar functionality into UC's automation processes using Flow. How can the admin get a response from this prompt template from within a flow to use as part of UC's automation?. Flow Action. Invocable Apex. Einstein for Flow.

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.

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 AI Specialist is setting up a new org and needs to ensure that users can create and execute prompt templates. The AI Specialist is unsure which roles are necessary for these tasks. Which permission sets should the AI Specialist assign to users who need to create and execute prompt templates?. Prompt Template Manager for creating templates and Prompt Template User for executing templates. Data Cloud Admin for creating templates and Prompt Template User for executing templates. Prompt Template Manager for creating templates and Data Cloud Admin for executing templates.

Universal Containers' sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments. Which Einstein Generative AI feature should an AI Specialist recommend for this request?. Einstein Conversation Insights. Einstein Video KPI. Einstein Call Summaries.

Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary. Generation is grounded with conversation context, Knowledge articles, and cases. Generation is grounded with existing conversation context only. Generation is grounded with conversation context and Knowledge articles.

Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (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 these requirements?. Prompt Defense. Zero-Data Retention Policy. Data Masking.

Universal Containers is interested in using Call Explorer to quickly gain insights from meetings recorded by its sales team. What should the AI Specialist be aware of before enabling this feature?. Call Explorer operates independently of Salesforce Knowledge, requiring no prior setup. Custom Call Explorer actions need to be built before it can be configured. Call Explorer requires the Einstein Conversation Insights permission set to be enabled.

Universal Containers' internal auditing team asks an AI Specialist to verify that address information is properly masked in the generated prompt. How should the AI Specialist verify the privacy of the masked data in the Einstein Trust Layer?. Inspect the AI audit trail. Enable data encryption on the address field. Review the platform event logs.

Universal Containers (UC) 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?. Customer churn prediction. Product recommendation prediction. Contract Renewal Date prediction.

What is a Salesforce AI Specialist able to configure in Data Masking within the Einstein Trust Layer?. The encryption keys for masking. The profiles exempt from masking. The privacy data entities to be masked.

Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides. What should the AI Specialist do to meet this requirement?. Publish product tutorials and guides as Knowledge articles. Add an Answer Questions custom field in the product object for tutorial instructions. Create a prompt template for product tutorials and guides.

Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM). What is an important consideration for this requirement?. CRM data to JSON" checkbox must be selected when creating a prompt template. JSON format should be enabled in Prompt Builder Settings. Apex code can be used to return a JSON-formatted merge field.

Universal Containers plans to enhance its sales team's productivity using AI. Which specific requirement necessitates the use of Prompt Builder?. Creating an estimated Customer Lifetime Value (CLV) with historical purchase data. Creating a draft newsletter for an upcoming tradeshow. Predicting the likelihood of customers churning or discontinuing their relationship with the company.

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 AI Audit Data. Turn on Prompt Builder. Turn on Einstein Generative AI.

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 Al capability should the team use?. Model Builder. Einstein Copilot. Prompt Builder.

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 Lightning page layout where the field will reside has been upgraded to Dynamic Forms. That the field chosen must be a rich text field with 255 characters or more. That the org is set to API version 59 or higher.

Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting. Which business requirement would lead an AI Specialist to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?. UC wants to change the frequency penalty of the model. UC wants a model fine-tuned using company data. UC wants to fine-tune model temperature.

What can an AI Specialist do when the "Enrich event logs with conversation data" setting in the Agentforce configuration is enabled?. View the user click path that led to each Agent action. Generate details reports on all Agent conversations over any time period. View session data including user input and Agent responses for sessions over the past 7 days.

Universal Containers wants to create a marketing newsletter and directly use data from five unrelated objects (two standard and three custom) in a prompt template. What should the AI Specialist recommend?. Create a flex template and use the five objects as inputs. Create a prompt template-triggered flow to access the data from the five objects. Create a prompt template passing in a special custom object that connects the records temporarily.

Universal Containers has a new AI project. What should an AI Specialist consider when adding a related list on the Account object to be used in the prompt template?. Prompt Builder must be used to assign the fields from the related list as a JSON format. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder. The fields for the related list are based on the default page layout of the Account for the current user.

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 Salesforce Knowledge. Which step should UC take to meet this requirement?. Turn on Service AI Grounding, Grounding with Case, and Service Replies. Turn on Service AI Grounding and Grounding with Knowledge. Turn on Service Replies, Service AI Grounding, and Grounding with Knowledge.

Universal Containers (UC) is building a Flex prompt template. UC needs to use data returned by the flow in the prompt template. Which flow element should UC use?. Add Flex Instructions. Add Prompt Instructions. Add Flow Instructions.

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?. Unified-object linking flow. Template-triggered prompt flow. Data Cloud-triggered flow.

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 with Agents?. Use the standard Agent action. Create a custom Agent action calling a flow. Create a custom Agent action calling an Apex class.

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 the response journey. Masked data will be de-masked during the request journey.

Universal Containers needs to provide insights on the usability of Agents to drive adoption in the organization. What should the AI Specialist recommend?. Agent Analytics. Agentforce Analytics. Agent Studio Analytics.

Universal Containers (UC) needs to improve agent productivity in replying to customer chats. Which generative AI feature should help UC address this issue?. Case Summaries. Service Replies. Case Escalation.

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.

What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?. Find similar requested topics and provide the actions that need to be executed. Identify the best matching topic and actions and correct order of execution. Determine a user's topic access and sort actions by priority to be executed.

Universal Containers (UC) is tracking web activities in Data Cloud for a unified contact, and wants to use that in a prompt template to help extract insights from the data. Assuming that the Contact object is one of the objects associated with the prompt template, what is a valid way for UC to do this?. Create a prompt template that takes a list of all Data Cloud activity records as input to pass to the large language model (LLM). Call the prompt directly from Data Cloud with a web tracking activity included in the prompt definition. Add the activity records as an enrichment related list to the Contact, then pass the Contact into a prompt template workspace using related list grounding.

How does an Agent respond when it can't understand the request or find any requested information?. With a generated error message. With a general message asking the user to rephrase the request. With a preconfigured message, based on the action type.

Universal Containers (UC) wants to improve the productivity of its sales team with generative AI technology. However, UC is concerned that public AI virtual assistants lack adequate company data to generate useful responses. Which solution should UC consider?. Fine-tune the Einstein AI model with CRM data. Enable Agentforce and deploy to sales users. Build an AI model with Einstein Discovery and deploy to sales users.

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

Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the AI Specialist investigate as the root cause?. Ensure the input and output types are correctly chosen. Review the Action Instructions to ensure they are unique. Review that the custom action is assigned to an Agent.

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 Generative Service Replies for Email. Einstein Service Replies for Email.