EMT Practice Test

1. Question Content...

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Question1: 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. Thegoal is to enhance the team'sperformance by identifying areas for improvement and competitive intelligence.
Which feature provides insights about competitor mentions and coaching opportunities?

Question2: 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 Al Specialist take to make this option available to NTO?

Question3: How does the Einstein Trust Layer ensure that sensitive data isprotected while generating useful and meaningful responses?

Question4: An AI Specialist wants to include data from the response ofexternal service invocation (REST API callout) into the prompt template.
How should the AI Specialist meet this requirement?

Question5: 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?

Question6: 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?

Question7: 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 findthat the draft email containsplaceholders 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?

Question8: The AI Specialist of 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 the AI Specialist take upon modifying the masked fields?

Question9: 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?

Question10: 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?

Question11: 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?

Question12: 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?

Question13: 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?

Question14: Universal Containers is very concerned about security compliance and wants to understand:
Which prompt text is sent to the large language model (LLM)
* How it is masked
* The masked response
What should the AI Specialist recommend?

Question15: Which feature in the Einstein Trust Layer helps to minimize the risks of jailbreaking and prompt injection attacks?

Question16: 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?

Question17: 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?

Question18: 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?

Question19: 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?

Question20: Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questionsin-chat, and reducing the post-chat analysis by suggesting values for case fields.
Which combination of Einstein for Service features enables this effort?

Question21: 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?

Question22: 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?

Question23: 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?

Question24: 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?

Question25: An AI Specialist implements Einstein Sales Emails for a sales team. The team wants to send personalized follow-up emails to leads basedon their interactions and data stored in Salesforce. The AI Specialist needsto configure the system to use the most accurate and up-to-date information for email generation.
Which grounding technique should the AI Specialist use?

Question26: 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 andcustomize it to fully meet thebusiness requirements?

Question27: 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?

Question28: 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 beapplicable for Einstein AI todraft accurate email responses.
Which solution should UC use to ensure Einstein AI can draft responsesfrom a defined data source?

Question29: Universal Containers' service team wants to customize the standard case summary response from Einstein Copilot.
What should the AI Specialist do to achieve this?

Question30: 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?

Question31: 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?

Question32: How should an organization use theEinstein Trust layer to audit,track, and view masked data?

Question33: What should an AI Specialist consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?

Question34: Universal Containers (UC) 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?

Question35: 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?

Question36: 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?

Question37: 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?

Question38: 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?

Question39: 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?

Question40: 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?

Question41: 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?

Question42: An AI Specialist wants to ground a new prompt template with the User related list.
What should the AI Specialist consider?

Question43: 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?

Question44: Universal Containers implements Custom Copilot Actions to enhance its customer service operations.The development team needs tounderstand 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?