EMT Practice Test

1. Question Content...

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Question1: TheAgentforce Specialistof Northern Trail Outfitters 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 theAgentforce Specialisttake upon modifying the masked fields?

Question2: Universal Containers (UC) 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 e-mail was selected, which AI model should UC use to achieve this?

Question3: Universal Containers (UC) needs to improve the agent productivity in replying to customer chats.
Which generative AI feature should help UC address this issue?

Question4: Universal Containers (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?

Question5: Universal Containers (UC) has configured an Agentforce Data Library using Knowledge articles. When testing in Agent Builder and the Experience Cloud site, the agent is not responding with grounded Knowledge article information. However, when tested in Prompt Builder, the response returns correctly. What should UC do to troubleshoot the issue?

Question6: 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?

Question7: What is An Agentforce able to do when the "Enrich event logs with conversation data" setting in Einstein Copilot is enabled?

Question8: 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 Agentforce recommend for this request?

Question9: 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?

Question10: 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 Agentforce recommend to help the rep get thedetails they might have missed during a conversation?

Question11: Universal Containers has implemented an agent that answers questions based on Knowledge articles. Which topic and Agent Action will be shown in the Agent Builder?

Question12: After creating a foundation model in Einstein Studio, which hyperparameter should An Agentforce use to adjust the balance between consistency and randomness of a response?

Question13: For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?

Question14: Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements. Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?

Question15: Universal Containers wants to use an external large language model (LLM) in Prompt Builder.
What should An Agentforce recommend?

Question16: A data scientist needs to view and manage models in Einstein Studio, and also needs to create prompt templates in Prompt Builder. Which permission sets should an Agentforce Specialist assign to the data scientist?

Question17: How does the AI Retriever function within Data Cloud?

Question18: 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 Agentforce Specialist implement to meet this requirement?

Question19: An Agentforce 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 theAgentforce Specialistdo to identify the root cause of the problem?

Question20: An Agentforce at Universal Containers (UC) is building with no-code tools only. They have many small accounts that are only touched periodically by a specialized sales team, and UC wants to maximize the sales operations team's time. UC wants to help prep the sales team for the calls by summarizing past purchases, interests in products shown by the Contact captured via Data Cloud, and a recap of past email and phone conversations for which there are transcripts.
Which approach should theAgentforce Specialistrecommend to achieve this use case?

Question21: Universal Containers recently added a custom flow for processing returns and created a new Agent Action.
Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

Question22: Universal Containers (UC) wants to offer personalized service experiences and reduce agent handling time with Al-generated email responses, grounded in Knowledge base.
Which AI capability should UC use?

Question23: A SalesforceAgentforce Specialistis reviewing the feedback from a customer about the ineffectiveness of the prompt template.
What should theAgentforce Specialistdo to ensure the prompt template's effectiveness?

Question24: Universal Containers wants to utilize Agentforce for Sales to help sales reps reach their sales quotas by providing AI-generated plans containing guidance and steps for closing deals. Which feature meets this requirement?

Question25: An Agentforce is considering using a Field Generation prompt template type.
What should theAgentforce Specialistcheck before creating the Field Generation prompt to ensure it is possible for the field to be enabled for generative AI?

Question26: 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 canceling and rebooking the customer flights.
Which Einstein Copilot capability helps the agent accomplish this?

Question27: Universal Containers' Agent Action includes several Apex classes for the new Agentforce Agent. What is an important consideration when deploying Apex that is invoked by an Agent Action?

Question28: What should Universal Containers consider when deploying an Agentforce Service Agent with multiple topics and Agent Actions to production?

Question29: An Agentforce Specialist wants to troubleshoot their Agent's performance. Where should the Agentforce Specialist go to access all user interactions with the Agent, including Agent errors, incorrectly triggered actions, and incomplete plans?

Question30: 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 theAgentforce Specialistinvestigate as the root cause?

Question31: Universal Containers (UC) is discussing its AI strategy in an agile Scrum meeting.
Which business requirement would lead An Agentforce to recommend connecting to an external foundational model via Einstein Studio (Model Builder)?

Question32: Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses. What is causing this issue?

Question33: The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history.
Why should the team use Einstein Copilot as the solution?

Question34: 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 Agent action helps sales reps draft personalized emails to prospects by generating text based on previous successful communications?

Question35: Universal Containers' current AI data masking rules do not align with organizational privacy and security policies and requirements.
What should An Agentforce recommend to resolve the issue?

Question36: Universal Containers has a new AI project.
What should An Agentforce consider when adding a related list on the Account object to be used in the prompt template?

Question37: 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?

Question38: Which scenario best demonstrates when an Agentforce Data Library is most useful for improving an AI agent' s response accuracy?

Question39: 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 theAgentforce Specialisthighlight to UC that addresses these requirements?

Question40: 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 feature should the company use to address these concerns?

Question41: Where should theAgentforce Specialistgo to add/update actions assigned to a copilot?

Question42: A data science team has trained an XGBoost classification model for product recommendations on Databricks. TheAgentforce Specialistis tasked with bringing inferences for product recommendations from this model into Data Cloud as a stand-alone data model object (DMO).
How should theAgentforce Specialistset this up?

Question43: How does an Agent respond when it can't understand the request or find any requested information?

Question44: What is the primary function of the planner service in the Einstein Copilot system?

Question45: What is the main purpose of Prompt Builder?

Question46: In addition to Recipient and Sender, which object should An Agentforce utilize for inserting merge fields into a Sales email template prompt?

Question47: 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?

Question48: An Agentforce is setting up a new org and needs to ensure that users can create and execute prompt templates.
TheAgentforce Specialistis unsure which roles are necessary for these tasks.
Which permission sets should theAgentforce Specialistassign to users who need to create and execute prompt templates?

Question49: 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 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?

Question50: An Agentforce configured Data Masking within the Einstein Trust Layer.
How should theAgentforce Specialistbegin validating that the correct fields are being masked?

Question51: An Agentforce is creating a custom action for Agentforce.
Which setting should theAgentforce Specialisttest and iterate on to ensure the action performs as expected?

Question52: Universal Containers (UC) currently tracks Leads with a custom object. UC is preparing to implement the Sales Development Representative (SDR) Agent. Which consideration should UC keep in mind?

Question53: 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?

Question54: Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

Question55: A customer service representative 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 representative needs to review the Knowledge articles about canceling and rebooking the customer flights.
Which Agentforce capability helps the representative accomplish this?

Question56: Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality. What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?

Question57: What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounding in a prompt template?

Question58: 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?

Question59: An Agentforce is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform.
What is the correct method for theAgentforce Specialistto assign actions to an Agent?

Question60: Universal Container's internal auditing team asks An Agentforce to verify that address information is properly masked in the prompt being generated.
How should theAgentforce Specialistverify the privacy of the masked data in the Einstein Trust Layer?

Question61: An Agentforce 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 Agentforce Specialist gather the necessary data for the prompt template?

Question62: Universal Containers plans to enhance the customer support team's productivity using AI.
Which specific use case necessitates the use of Prompt Builder?

Question63: Universal Containers (UC) wants to ensure the effectiveness, reliability, and trust of its agents prior to deploying them in production. UC would like to efficiently test a large and repeatable number of utterances.
What should the Agentforce Specialist recommend?

Question64: 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?

Question65: Universal Containers (UC) would like to implement the Sales Development Representative (SDR) Agent.
Which channel consideration should UC be aware of while implementing it?

Question66: Which element in the Omni-Channel Flow should be used to connect the flow with the agent?

Question67: Universal Containers has a custom Agent action calling a flow to retrieve the real-time status of an order from the order fulfillment system.
For the given flow, what should theAgentforce Specialistconsider about the running user's data access?

Question68: 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?

Question69: Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities. What is one criterion that Agentforce for Sales uses to match similar opportunities?

Question70: Universal Containers wants to leverage the Record Snapshots grounding feature in a prompt template. What preparations are required?

Question71: What is the correct process to leverage Prompt Builder in a Salesforce org?

Question72: Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides.
What should theAgentforce Specialistdo to meet this requirement?

Question73: Universal Containers' service team wants to customize the standard case summary response from Agentforce.
What should the Agentforce Specialist do to achieve this?

Question74: After a successful implementation of Agentforce Sates Agent with sales users. Universal Containers now aims to deploy it to the service team.
Which key consideration should theAgentforce Specialistkeep in mind for this deployment?

Question75: 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. TheAgentforce Specialistis 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 theAgentforce Specialisttake in the sandbox that can be deployed to the production org?

Question76: An Agentforce Specialist is tasked with analyzing Agent interactions, looking into user inputs, requests, and queries to identify patterns and trends. What functionality allows the Agentforce Specialist to achieve this?

Question77: An Agentforce 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 theAgentforce Specialistobtain related items?

Question78: When creating a custom retriever in Einstein Studio, which step is considered essential?

Question79: An Agentforce turned on Einstein Generative AI in Setup. Now, theAgentforce Specialistwould like to create custom prompt templates in Prompt Builder. However, they cannot access Prompt Builder in the Setup menu.
What is causing the problem?

Question80: Universal Containers (UC) plans to automatically populate the Description field on the Account object.
Which type of prompt template should UC use?

Question81: 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?