Salesforce Agentforce Specialist Dumps Updated (2026 V14.03) – Read Salesforce Agentforce Specialist Free Dumps (Part 1, Q1-Q40) Today

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1. 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

2. 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?

Plan Canvas

Agent Settings

Event Logs

3. Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email.

After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

Make Less Formal

Enhance Friendliness

Optimize for Clarity

4. 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 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.

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

How should UC accomplish this?

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.

Create a Flex template to add resources with standard and custom objects as inputs.

Use a Record Snapshot to combine data from unrelated objects into a single prompt.

6. An Agentforce is creating a custom action in Agent.

Which option is available for the Agentforce Specialist to choose for the custom copilot action?

Apex trigger

SOQL

Flows

7. 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 Agentforce Specialist set up to enable UC's sales team?

Call Summaries

Call Explorer

Call Insights

8. Universal Containers (UC) is looking to enhance its operational efficiency. UC has recently adopted Salesforce and is considering implementing Agent to improve its processes.

What is a key reason for implementing Agent?

Improving data entry and data cleansing

Allowing AI to perform tasks without user interaction

Streamlining workflows and automating repetitive tasks

9. The sales team at a hotel resort would like to generate a guest summary about the guests’ interests and provide recommendations based on their activity preferences captured in each guest profile. They want the summary to be available only on the contact record page.

Which AI capability should the team use?

Model Builder

Agent Builder

Prompt Builder

10. When creating a custom retriever in Einstein Studio, which step is considered essential?

Select the search index, specify the associated data model object (DMO) and data space, and optionally define filters to narrow search results.

Define the output configuration by specifying the maximum number of results to return, and map the output fields that will ground the prompt.

Configure the search index, choose vector or hybrid search, choose the fields for filtering, the data space and model, then define the ranking method.

11. 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?

Agent Builder and Action: Query Records.

Einstein Prompt Builder and Prompt Templates.

Einstein Recommendation Builder.

12. 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?

Invoke a flow which makes a call to external data to create a Knowledge article.

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

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

13. What is a valid use case for Data Cloud retrievers?

Returning relevant data from the vector database to augment a prompt.

Grounding data from external websites to augment a prompt with RA

Modifying and updating data within the source systems connected to Data Cloud.

14. 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

15. 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

16. 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

17. An Agentforce 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 Agentforce 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.

18. 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?

The Apex classes must have at least 75% code coverage from unit tests, and all dependencies must be in the deployment package.

Apex classes invoked by an Agent Action may be deployed with less than 75% test coverage as long as the agent is not activated in production.

The Apex classes may bypass the 75% code coverage requirement as long as they are only used by the agent.

19. 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.

20. 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?

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.

21. 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

22. 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?

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.

23. Universal Containers (UC) wants to implement an AI-powered customer service agent that can:

Retrieve proprietary policy documents that are stored as PDFs.

Ensure responses are grounded in approved company data, not generic LLM knowledge.

What should UC do first?

Set up an Agentforce Data Library for AI retrieval of policy documents.

Expand the AI agent's scope to search all Salesforce records.

Add the files to the content, and then select the data library option.

24. An Agentforce 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 Agentforce Specialist needs to configure the system to use the most accurate and up-to-date information for email generation.

Which grounding technique should the Agentforce Specialist use?

Ground with Apex Merge Fields

Ground with Record Merge Fields

Automatic grounding using Draft with Einstein feature

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

With a preconfigured message, based on the action type.

With a general message asking the user to rephrase the request.

With a generated error message.

26. What is true of Agentforce Testing Center?

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.

27. How does the AI Retriever function within Data Cloud?

It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.

It monitors and aggregates data quality metrics across various data pipelines to ensure only high-integrity data is used for strategic decision-making.

It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.

28. When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.

Which information does the Resolution text provide?

It shows the full text that is sent to the Trust Layer.

It shows the response from the LLM based on the sample record.

It shows which sensitive data is masked before it is sent to the LL

29. 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.

30. Universal Containers (UC) recently rolled out Einstein Generative AI 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?

The prompt template version is incompatible with the chosen LL

The data being used for grounding is incorrect or incomplete.

The Einstein Trust Layer is incorrectly configured.

31. 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?

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.

32. An Agentforce wants to use the related lists from an account in a custom prompt template.

What should the Agentforce Specialist consider when configuring the prompt template?

The text encoding (for example, UTF-8, ASCII) option

The maximum number of related list merge fields

The choice between XML and JSON rendering formats for the list

33. Universal Containers (UC) wants to use Generative AI Salesforce functionality to reduce Service Agent handling time by providing recommended replies based on the existing Knowledge articles.

On which AI capability should UC train the service agents?

Service Replies

Case Replies

Knowledge Replies

34. 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.

35. An Agentforce Specialist is creating a custom action in Agentforce.

Which option is available for the Agentforce Specialist to choose for the custom Agent action?

Apex Trigger

SOQL

Flows

36. Which use case is best supported by Salesforce Agent'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

37. 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?

Select the latest Opportunities related list as a merge field.

Create a flow to retrieve the opportunity information.

Select the Account Opportunity object as a resource when creating the prompt template.

38. 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?

Record summary prompt template

Email generation prompt template

Flex prompt template

39. 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 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.

40. 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 find that the draft email contains placeholders 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?

The user does not have permission to access the fields.

The user’s locale language is not supported by Prompt Builder.

The user does not have Einstein Sales Emails permission assigned.

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