Salesforce Agentforce Specialist Exam Free Dumps

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Salesforce Agentforce Specialist exam is the new name of Salesforce AI Specialist. If you decide to take this test, please choose Salesforce Agentforce Specialist exam. Learning Salesforce Agentforce Specialist exam information is the first step in your preparation. There are 60 multiple-choice questions and up to five unscored questions in real Salesforce Agentforce Specialist exam, and you have 105 minutes to answer all the questions. The passing score is 70%. We provide the latest Salesforce Agentforce Specialist exam dumps, which can ensure you pass easily. Free Salesforce Agentforce Specialist exam dumps are available below.

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1. 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

2. 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

3. Universal Containers wants to make a sales proposal and directly use data from multiple unrelated objects (standard and custom) in a 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.

4. 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 details reports on all Copilot conversations over any time period.

5. 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.

6. 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.

7. 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

8. 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.

9. 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

10. 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?

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.

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11. Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing Al-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

12. 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.

13. 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.

14. What is the role of the large language model (LLM) in executing an Einstein Copilot Action?

Find similar requests and provide actions that need to be executed

Identify the best matching actions and correct order of execution

Determine a user's access and sort actions by priority to be executed

15. 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?

Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.

Invoke a flow which 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.

16. An AI Specialist has created a copilot custom action using flow as the reference action type. However, it is not delivering the expected results to the conversation preview, and therefore needs troubleshooting.

What should the AI Specialist do to identify the root cause of the problem?

In Copilot Builder within the Dynamic Panel, turn on dynamic debugging to show the inputs and outputs.

Copilot Builder within the Dynamic Panel, confirm 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.

17. 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

18. 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 to the user.

Einstein Copilot does not have the permission to delete the user's records.

Einstein Copilot does not support the Delete Record action.

19. 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

20. Universal Containers wants to reduce overall agent handling time minimizing the time spent typing routine answers for common questions in-chat, and reducing the post-chat analysis by suggesting values for case fields.

Which combination of Einstein for Service features enables this effort?

Einstein Service Replies and Work Summaries

Einstein Reply Recommendations and Case Summaries

Einstein Reply Recommendations and Case Classification

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21. 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

22. 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?

Turn on Einstein Copilot.

Turn on Einstein Generative A

Turn on Prompt Builder.

23. 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 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 auto launched flow and invoke the prompt template using the standard “Prompt Template" flow action.

24. 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 AlI-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 summary field is not activated for that user.

The user does not have the field Generative AI User permission set assigned.

25. 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.

26. 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

27. 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 for the masked data.

Access the audit trail in Setup and export all user-generated prompts.

28. 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

29. 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

30. 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

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31. 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 LL

Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.

32. 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

33. 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

34. 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 Al-powered suggestions and guidance to users, Improving productivity and decision-making.

35. 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?

Einstein Email Replies

Einstein Service Replies for Email

Einstein Generative Service Replies for Email

36. 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

37. 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

38. 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.

39. 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?

To generate relevant content when engaging with each customer

To analyze past campaign performance

To send automated emails to all customers

40. 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 LL

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41. Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-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.

42. 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.

43. 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

44. 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

45. 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.

46. 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

Salesforce Agentforce Specialist Exam Free Dumps

Salesforce Agentforce Specialist Exam Free Dumps

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