What is the role of the large language model (LLM) in understanding intent and executing an Agent Action?

Identify the best matching topic and actions and correct order of execution.

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) 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?

Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.

Create a new permission set that assigns 'Manage Knowledge' and assign it to the Agentforce Service Agent User.

Ensure the assigned User permission set includes access to the prompt template used to access the Knowledge articles.

Ensure the Data Cloud User permission set has been assigned to the Agentforce Service Agent User.

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

Create a custom Record Summary prompt template for the Case object.

Summarize the Case with a standard Agent action.

Customize the standard Record Summary template for the Case object.

Universal Containers (UC) wants to limit an agent's access to Knowledge articles while deploying the 'Answer Questions with Knowledge' action. How should UC achieve this?

Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.

Define scope instructions to the agent specifying a list of allowed article titles or IDs.

Update the Data Library Retriever to filter on a custom field on the Knowledge article.

Assign Data Categories to Knowledge articles, and define Data Category filters in the Agentforce Data Library.

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, connect a recording provider, assign permission sets, and customize insights with up to 25 products.

Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.

Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.

Universal Containers (UC) plans to implement prompt templates that utilize the standard foundation models. What should UC consider when building prompt templates in Prompt Builder?

Ask it to role-play as a character in the prompt template to provide more context to the LLM.

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 plans to enhance its sales team's productivity using AI. Which specific requirement necessitates the use of Prompt Builder?

Creating a draft newsletter for an upcoming tradeshow.

Predicting the likelihood of customers churning or discontinuing their relationship with the company.

Creating an estimated Customer Lifetime Value (CLV) with historical purchase data.

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

Ensure all dependencies are included, Apex classes meet 75% test coverage, and configuration settings are aligned with production. Plan for version management and post-deployment activation.

Deploy agent components without a test run in staging, relying on production data for reliable results. Sandbox configuration alone ensures seamless production deployment.

Ensure all dependencies are included, Apex classes meet 75% test coverage, and configuration settings are aligned with production. Plan for version management and post-deployment activation.

Deploy flows or Apex after agents, topics, and Agent Actions to avoid deployment failures and potential production agent issues requiring complete redeployment.

Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply. How should UC address this issue?

Use the default retriever, as it already searches the entire search index and provides broad coverage.

Modify the search index to only store documents from the last year and remove older records.

Create a custom retriever in Einstein Studio, and apply filters for publication date and product line.

Use the default retriever, as it already searches the entire search index and provides broad coverage.

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?

General FAQ topic and Answers Questions with Knowledge Action.

General Q&A topic and Knowledge Article Answers action.

General CRM topic and Answers Questions with LLM Action.

General FAQ topic and Answers Questions with Knowledge Action.

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?

Matched opportunities have a status of Closed Won from the last 12 months.

Matched opportunities are limited to the same account.

Matched opportunities were created in the last 12 months.

Universal Containers needs its sales reps to be able to only execute prompt templates. What should the company use to achieve this requirement?

Prompt Template User permission set

Prompt Execute Template permission set

Prompt Template User permission set

Prompt Template Manager permission set

What is true of Agentforce Testing Center?

Running tests does not consume Einstein Requests.

Running tests risks modifying CRM data in a production environment.

Running tests does not consume Einstein Requests.

Agentforce Testing Center can only be used in a production environment.

Universal Containers (UC) wants to enable its sales team to use AI to suggest recommended products from its catalog. Which type of prompt template should UC use?

Email generation prompt template

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?

Data Cloud Admin and Prompt Template Manager

Prompt Template Manager and Prompt Template User

Data Cloud Admin and Prompt Template Manager

Prompt Template User and Data Cloud Admin

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

Create a field set for all the fields to be grounded.

Configure page layout of the master record type.

Create a field set for all the fields to be grounded.

Enable and configure dynamic form for the object.

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

When the AI agent must provide answers based on a curated set of policy documents that are stored, regularly updated, and indexed in the data library.

When the AI agent needs to combine data from disparate sources based on mutually common data, such as Customer Id and Product Id for grounding.

When data is being retrieved from Snowflake using zero-copy for vectorization and retrieval.

Universal Containers (UC) wants to build an Agentforce Service Agent that provides the latest, active, and relevant policy and compliance information to customers. The agent must:Semantically search HR policies, compliance guidelines, and company procedures.Ensure responses are grounded on published Knowledge.Allow Knowledge updates to be reflected immediately without manual reconfiguration.What should UC do to ensure the agent retrieves the right information?

Set up an Agentforce Data Library to store and index policy documents for AI retrieval.

Enable the agent to search all internal records and past customer inquiries.

Set up an Agentforce Data Library to store and index policy documents for AI retrieval.

Manually add policy responses into the AI model to prevent hallucinations.

Universal Containers deploys a new Agentforce Service Agent into the company's website but is getting feedback that the Agentforce Service Agent is not providing answers to customer questions that are found in the company's Salesforce Knowledge articles. What is the likely issue?

The Agentforce Service Agent user was not given the Allow View Knowledge permission set.

The Agentforce Service Agent user is not assigned the correct Agent Type License.

The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.

The Agentforce Service Agent user was not given the Allow View Knowledge permission set.

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?

Agent Action: Draft or Revise Sales Email

Agent Action: Find Similar Opportunities

Agent Action: Draft or Revise Sales Email

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

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

View session data including user Input and copilot responses for sessions over the past 7 days.

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.

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?

Configure data masking in the Einstein Trust Layer setup.

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.

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?

Dynamic grounding with secure data retrieval

Universal Containers aims to streamline the sales team's daily tasks by using AI.When considering these new workflows, which improvement requires the use of Prompt Builder?

Populate an AI generated summary field for sales contracts.

Populate an Al-generated time-to close estimation to opportunities

Populate an AI generated summary field for sales contracts.

Populate an Al generated lead score for new leads.

A sales manager is using Agent Assistant to streamline their daily tasks. They ask the agent to Show me a list of my open opportunities.How does the large language model (LLM) in Agentforce identify and execute the action to show the sales manager a list of open opportunities?

The LLM interprets the user's request, generates a plan by identifying the apcMopnete topics and actions, and executes the actions to retrieve and display the open opportunities

The LLM uses a static set of rules to match the user's request with predefined topics and actions, bypassing the need for dynamic interpretation and planning.

Using a dialog pattern. the LLM matches the user query to the available topic, action and steps then performs the steps for each action, such as retrieving a fast of open opportunities.

Universal Containers, dealing with a high volume of chat inquiries, implements Einstein Work Summaries to boost productivity.After an agent-customer conversation, which additional information does Einstein generate and fill, apart from the 'summary''

Sentiment Analysis and Emotion Detection

What does it mean when a prompt template version is described as immutable?

Prompt template version is activated; no further changes can be saved to that version.

Only the latest version of a template can be activated.

Every modification on a template will be saved as a new version automatically.

Prompt template version is activated; no further changes can be saved to that version.

A Salesforce Administrator wants to generate personalized, targeted emails that incorporate customer interaction data. The admin wants to leverage large language models (LLMs) to write the emails, and wants to reuse templates for different products and customers.Which solution approach should the admin leverage?

Create a Sales Email prompt template type.

Use sales Email standard templates

Create a t field Generation prompt template type

Create a Sales Email prompt template type.

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 analyzes the user's request and LLM technology is used to generate and display the appropriate response.

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.

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.

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

Identify the best matching actions and correct order of execution

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

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?

Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

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.

Salesforce Agentforce Specialist Practice Test 2 - Free Online Exam Questions 41-80

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

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