Universal Containers (UC) is implementing generative AI and wants to leverage a prompt template to provide responses to customers that gives personalized product recommendations to website visitors based on their browsing history.Which initial step should UC take to ensure the chatbot can deliver accurate recommendations'

Collect and analyze browsing data.

Design universal product recommendations.

Write a response scrip for the chatbot.

Collect and analyze browsing data.

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

AI Audit & Feedback Data dashboard

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 Agentforce Specialist investigate as the root cause?

Review the action Instructions to ensure they are unique.

Review that the custom action Is assigned to an Agent.

Review the action Instructions to ensure they are unique.

Ensure the input and output types are correctly chosen.

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 DC to do this?

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.

Call the prompt directly from Data Cloud with a web tracing 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.

Create a prompt template that takes a list of all Data Cloud activity records as input to pass to the large language model (LLM).

What is a Salesforce Agentforce Specialist able to configure in Data Masking within the Einstein Trust Layer?

The privacy data entities to be masked

The profiles exempt from masking

The encryption keys for masking

The privacy data entities to be masked

Universal Containers is interested in using Call Explorer to quickly gain insights from meetings recorded by its sales team.What should the Agentforce Specialist be aware of before enabling this feature?

Call Explorer requires the Einstein Conversation Insights permission set to be enabled.

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 (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 general useful responses.Which solution should UC consider?

fine-tune the Einstein AI model with CBM data.

Build Al model with Einstein discovery and deploy to sales users.

Enable Agentforce and deploy to sales users.

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?

After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.

Prompt Builder must be used to assign the fields from the related list as a JSON format.

The fields for the related list are based on the default page layout of the Account for the current user.

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 does not have a standard Delete Record action.

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

Agentforce Delete Record Action permission is not associated to the user.

Agentforce does not have a standard Delete Record action.

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 Agentforce 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 Agentforce 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: and ado the Wrap up component to the Messaging session record page lavcut.

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 paae layout: and create Permission Set Assignments for the intended Agents.

From the Epstein 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 componert 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 lavcut.

Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?

Enable Mobile Prompt Responses.

Enable Dynamic Forms on Mobile.

Universal Containers wants support agents to use Agentforce to ask questions about its product tutorials and product guides.What should the Agentforce Specialist do to meet this requirement?

Publish product tutorials and guides as Knowledge articles.

Create a prompt template for product tutorials and guides.

Add an Answer Questions custom field in the product object for tutorial instructions.

Publish product tutorials and guides as Knowledge articles.

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

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?

Apex code can be used to return a JSON formatted merge field.

'CRM data to JSON' checkbox must be selected when creating a prompt template.

Apex code can be used to return a JSON formatted merge field.

JSON format should be enabled in Prompt Builder Settings.

Which business requirement presents a good use case for leveraging Einstein Prompt Builder?

Send reply to a request for proposal via a personalized email.

Forecast future sales trends based on historical data.

Identify potential high-value leads for targeted marketing campaigns.

Send reply to a request for proposal via a personalized email.

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 the Agentforce Specialist consider about the running user's data access?

The custom action adheres to the permissions, held-level security, and sharing settings configured in the flow.

The flow must have the 'with sharing' permission selected m the advanced settings for the permissions, field-level security, and sharing settings to be respected.

The custom action adheres to the permissions, held-level security, and sharing settings configured in the flow.

The Agent will always run flows in system mode so the running user's data access will not affect the data returned.

Universal Containers (UC) is using standard Service AI Grounding. UC created a custom rich text field to be used with Service AI Grounding.What should UC consider when using standard Service AI Grounding?

Service AI Grounding only supports String and Text Area type fields.

Service AI Grounding only works with Case and Knowledge objects.

Service AI Grounding only supports String and Text Area type fields.

Service AI Grounding visibility works m system mode.

Universal Containers wants to incorporate the current order fulfillment status into a prompt for a large language model (LLM). The order status is stored in the external enterprise resource planning (ERP) system.Which data grounding technique should the Agentforce Specialist recommend?

Eternal Object Record Merge Fields

A Universal Containers administrator is setting up Einstein Data Libraries. After creating a new library, the administrator notices that only the file upload option is available; there is no option to configure the library using a Salesforce Knowledge base.What is the most likely cause of this Issue?

Salesforce Knowledge is not enabled in the organization; without Salesforce Knowledge enabled, the Knowledge-based data source option will not be available in Einstein Data Libraries.

The current Salesforce org lacks the necessary Einstein for Service permissions that support the Knowledge-based Data Library option, so only the file upload option is presented.

Salesforce Knowledge is not enabled in the organization; without Salesforce Knowledge enabled, the Knowledge-based data source option will not be available in Einstein Data Libraries.

The administrator is not using Lightning Experience, which is required to display all data source options, Including the Knowledge base option, when configuring Einstein Data Libraries.

Universal Containers wants its AI agent to answer customer questions with precise and up-to-date information. How does an Agentforce Data Library simplify and enable this?

It automates the ingestion, Indexing of data, and creates a default retriever to be used in prompts and agents for grounding with relevant information.

It automates the ingestion, taxonomical classification and storage of knowledge in Data Cloud for precision keyword search retrieval to ground prompts and agents with relevant information.

It automates the ingestion, Indexing of data, and creates a default retriever to be used in prompts and agents for grounding with relevant information.

It automates the ingestion and optical character recognition (OCR) processing of any PDF, and indexes them to enable regular SQL query retrieval to ground prompts and agents with relevant information.

Once a data source is chosen for an Agentforce Data Library, what is true about changing that data source later?

The data source cannot be changed after it is selected.

The data source can be changed through the Data Cloud settings.

The Data Retriever can be reconfigured to use a different data source.

The data source cannot be changed after it is selected.

How is Data Cloud leveraged by the Answer Questions with Knowledge action in Agentforce?

Data Cloud stores and manages the Indexed Knowledge articles.

Data Cloud is not required; the articles can be accessed directly from the CRM by the agent.

Data Cloud stores and manages the Indexed Knowledge articles.

Data Cloud provides the real-time data streams that update the Knowledge articles.

Universal Containers (UC) wants its AI agent to return responses quickly. UC needs to optimize the retriever's configuration to ensure minimal latency when grounding AI responses.Which configuration aspect should UC prioritize?

Ensure the retriever's filters are defined to limit the scope of each search efficiently.

Configure the retriever to operate in dynamic mode so that it modifies the search Index structure at runtime.

Ensure the retriever's filters are defined to limit the scope of each search efficiently.

Increase the recency bias setting for the retriever limiting scope to more recent data.

Universal Containers (UC) users are complaining that agent answers are not satisfactory. The agent is using PDF files as a knowledge source.How should UC troubleshoot this issue?

Verify the retriever's filter criteria and data source connection.

Analyze the data mapping between source fields and Data Cloud object fields.

Check that the agent has the PDF file field permission access for the data library.

Verify the retriever's filter criteria and data source connection.

What is the primary function of the reasoning engine in Agentforce?

Identifying agent topics and actions to respond to user utterances

Offering real-time natural language response during conversations

Generating record queries based on conversation history

An Agentforce Service Agent, who has been successfully assisting customers with service requests in Salesforce, is now unable to help customers with issues related to a new product replacement process. The company recently implemented a custom Product Replacement object in Salesforce to track and manage these replacements. Which Agentforce Agent User change must be implemented to address this issue?

The permission set assigned to the Agent User needs Read access to the custom Product Replacement object.

The permission set group assigned to the Agent User needs to grant access to the Product Replacement flow.

The permission set assigned to the Agent User needs Read access to the custom Product Replacement object.

The profile assigned to the Agentforce Agent User needs AI training permission to the custom Product Replacement object.

In the context of retriever and search indexes, what best describes the data preparation process in Data Cloud?

Data preparation Involves loading, chunking, vectorizing, and storing content in a search-optimized manner to support retrieval from the vector database.

Data preparation focuses on real-time data ingestion and dynamic indexing to generate dynamic grounding reference data without preprocessing steps.

Data preparation entails aggregating, normalizing, and encoding structured datasets to ensure compliance with data governance and security protocols.

Data preparation Involves loading, chunking, vectorizing, and storing content in a search-optimized manner to support retrieval from the vector database.

What is the main benefit of using a Knowledge article in an Agentforce Data Library?

It provides a structured, searchable repository of approved documents so the agent can retrieve reliable information for each inquiry..

Only the retriever for Knowledge articles allows for agents to access Knowledge from both inside the platform and on a customer's website.

It provides a structured, searchable repository of approved documents so the agent can retrieve reliable information for each inquiry..

The retriever for Knowledge articles has better accuracy and performance than the default retriever.

An Agentforce Agent has been developed with multiple topics and Agent Actions that use flows and Apex. Which options are available for deploying these to production?

Deploy flows, Apex, and all agent-related items using either change sets or the Salesforce CLI/Metadata API.

Deploy the flows and Apex using normal deployment tools and manually create the agent-related items in production.

Use only change sets because the Salesforce CLI does not currently support the deployment of agent-related metadata.

Deploy flows, Apex, and all agent-related items using either change sets or the Salesforce CLI/Metadata API.

Universal Containers (UC) configured a new PDF file ingestion in Data Cloud with all the required fields, and also created the mapping and the search Index. UC Is now setting up the retriever and notices a required fleld is missing.How should UC resolve this?

Update the search index to include the desired field.

Create a new custom Data Cloud object that includes the desired field.

Update the search index to include the desired field.

Modify the retriever's configuration to include the desired field..

After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?

A data stream, a search index, and a retriever

A data pipeline, an indexing engine, and a query processor

A data connector, an analytics dashboard, and a workflow rule

A data stream, a search index, and a retriever

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 Agentforce 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.

Salesforce Agentforce Specialist Practice Test 5 - Free Online Exam Questions 161-200

A Salesforce Agentforce Specialist is reviewing the feedback from a customer about the ineffectiveness of the prompt template.

What should the Agentforce Specialist do to ensure the prompt template's effectiveness?

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