Free Salesforce Agentforce Specialist Practice Questions

Question 1

Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses.

What is causing this issue?

1. The related list is not on the parent object’s page layout.
2. The related list prompt template option is not enabled.
3. The related list is Read Only.

Question 2

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?

1. Agent Action: Draft or Revise Sales Email
2. Agent Action: Summarize Record
3. Agent Action: Find Similar Opportunities

Question 3

Universal Containers has an active standard email prompt template that does not fully deliver on the business requirements.

Which steps should an Agentforce Specialist take to use the content of the standard prompt email template in question and customize it to fully meet the business requirements?

1. Save as New Version and edit as needed.
2. Clone the existing template and modify as needed.
3. Save as New Template and edit as needed.

Question 4

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?

1. The prompt template version is incompatible with the chosen LLM.
2. The Einstein Trust Layer is incorrectly configured.
3. The data being used for grounding is incorrect or incomplete.

Question 5

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?

1. Ask it to role-play as a character in the prompt template to provide more context to the LLM.
2. Include multiple-choice questions within the prompt to test the LLM’s understanding of the context.
3. Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.

Question 6

Universal Containers implements Custom Agent Actions to enhance its customer service operations. The development team needs to understand the core components of a Custom Agent Action to ensure proper configuration and functionality.

What should the development team review in the Custom Agent Action configuration to identify one of the core components of a Custom Agent Action?

1. Instructions
2. Output Types
3. Action Triggers

Question 7

What is true of Agentforce Testing Center?

1. Running tests risks modifying CRM data in a production environment.
2. Agentforce Testing Center can only be used in a production environment.
3. Running tests does not consume Einstein Requests.

Question 8

Universal Containers 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?

1. The number of tokens that can be processed by the LLM varies with total user demand.
2. The number of tokens generated by the dynamic nature of the prompt template will vary by record.
3. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.

Question 9

Universal Containers (UC) is 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 UC use and which consideration should UC review?

1. Flex, and that Dynamic Fields is enabled
2. Field Generation, and that Dynamic Forms is enabled
3. Field Generation, and that Dynamic Fields is enabled

Question 10

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?

1. Manually add policy responses into the AI model to prevent hallucinations.
2. Set up an Agentforce Data Library to store and index policy documents for AI retrieval.
3. Enable the agent to search all internal records and past customer inquiries.

Question 11

Universal Containers (UC) has a legacy system that needs to integrate with Salesforce. UC wishes to create a digest of account action plans using the generative API feature.

Which API service should UC use to meet this requirement?

1. REST API
2. SOAP API
3. Metadata API

Question 12

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?

1. Enable Einstein Conversation Insights, enable sales recording, assign permission sets, and customize insights with up to 50 products.
2. Enable Einstein Conversation Insights, connect a recording provider, assign permission sets, and customize insights with up to 25 products.
3. Enable Einstein Conversation Insights, assign permission sets, define recording managers, and customize insights with up to 50 competitor names.

Question 13

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?

1. Check that the agent has the PDF file field permission access for the data library.
2. Verify the retriever’s filter criteria and data source connection.
3. Analyze the data mapping between source fields and Data Cloud object fields.

Question 14

Universal Containers (UC) currently tracks Leads with a custom object. UC is preparing to implement the Sales Development Representative (SDR) Agent.

Which consideration should UC keep in mind?

1. Agentforce SDR only supports custom objects associated with Accounts.
2. Agentforce SDR only works with the standard Lead object.
3. Agentforce SDR only works on Opportunities.

Question 15

Universal Containers recently launched a pilot program to integrate conversational AI into its CRM business operations with Agentforce Agents.

How should the Agentforce Specialist monitor Agents' usability and the assignment of actions?

1. Run Agent Analytics.
2. Run a report on the Platform Debug Logs.
3. Query the Agent log data using the Metadata API.

Question 16

Cloud Kicks (CK) recently finished the development of a new prompt template that uses its own large language model (LLM). CK is deploying a prompt template from a sandbox to a production org, and is receiving an error.

When trying to deploy the change set, CK is getting an error related to the LLM used in the prompt template.

What is the cause of the error?

1. BYOLLM is not yet supported in prompt templates in production.
2. The name of the LLM does not match in sandbox and production.
3. The prompt does not specify that it is a custom LLM.

Question 17

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?

1. General CRM topic and Answers Questions with LLM Action
2. General FAQ topic and Answer Questions with Knowledge Action
3. General Q&A topic and Knowledge Article Answers action

Question 18

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?

1. Flex prompt template
2. Email generation prompt template
3. Record summary prompt template

Question 19

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?

1. Create a custom Agent action which calls a flow.
2. Create a Flex prompt template in Prompt Builder.
3. Configure the Integration Flow Standard Action in Agent Builder.

Question 20

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 with 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?

1. Execute tasks based on available actions, answering questions using information from accessible Knowledge articles.
2. Invoke a flow which makes a call to external data to create a Knowledge article.
3. Generate a Knowledge article based off the prompts that the agent enters to create steps to cancel flights.

Question 21

Universal Containers (UC) has a new AI project.

What should UC consider when adding a related list on the Account object to be used in the prompt template?

1. After selecting a related list from the Account, use the field picker to choose merge fields in Prompt Builder.
2. Prompt Builder must be used to assign the fields from the related list as a JSON format.
3. The fields for the related list are based on the default page layout of the Account for the current user.

Question 22

How does the AI retriever function within Data Cloud?

1. It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.
2. It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.
3. It monitors and aggregates data quality metrics across various data pipelines to ensure only high-integrity data is used for strategic decision-making.

Question 23

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 AI-enabled field icon next to the summary field.

What is the most likely cause of the issue?

1. The prompt template associated with the summary field is not activated for that user.
2. The user does not have the Prompt Template User permission set assigned.
3. The user does not have the field Generative AI User permission set assigned.

Question 24

For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?

1. Indexes the uploaded files in Salesforce File Storage
2. Indexes the uploaded files in a location specified by the user
3. Indexes the uploaded files into Data Cloud

Question 25

Universal Containers wants to leverage the Record Snapshots grounding feature in a prompt template.

What preparations are required?

1. Enable and configure dynamic form for the object
2. Create a field set for all the fields to be grounded
3. Configure page layout of the master record type

Question 26

Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mentions of competitors, products, and other custom phrases.

Which feature should the company use to enable the sales team?

1. Call Explorer
2. Call Summaries
3. Call Insights

Question 27

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?

1. Agent Builder and Action: Query Records
2. Einstein Prompt Builder and Prompt Templates
3. Einstein Recommendation Builder

Question 28

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 Agentforce for Service should the support team use?

1. Einstein Reply Recommendations
2. Einstein Service Replies
3. Einstein Knowledge Recommendations

Question 29

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

1. With a preconfigured message, based on the action type
2. With a generated error message
3. With a general message asking the user to rephrase the request

Question 30

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 with Agents?

1. Use the standard Agent action.
2. Create a custom Agent action calling a flow.
3. Create a custom Agent action calling an Apex class.

Question 31

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

1. Select the search index, specify the associated data model object (DMO) and data space, and optionally define filters to narrow search results.
2. Configure the search index, choose vector or hybrid search, choose the fields for filtering, the data space and model, then define the ranking method.
3. Define the output configuration by specifying the maximum number of results to return, and map the output fields that will ground the prompt.

Question 32

Universal Containers needs its sales reps to be able to only execute prompt templates.

What should the company use to achieve this requirement?

1. Prompt Template User permission set
2. Prompt Template Manager permission set
3. Prompt Execute Template permission set

Question 33

Based on the user utterance, ‘Show me all the customers in New York’, which standard Agent action will the planner service use?

1. Query Records
2. Select Records
3. Fetch Records

Question 34

Universal Containers recently added a custom flow for processing returns and created a new Agent Action.

Which action should the company take to ensure the Agentforce Service Agent can run this new flow as part of the new Agent Action?

1. Recreate the flow using the Agentforce Agent user.
2. Assign the Run Flows permission to the Agentforce Agent user.
3. Assign the Manage Users permission to the Agentforce Agent user.

Question 35

Which object stores the conversation transcript between the customer and the agent?

1. Messaging Session
2. Messaging End User
3. Case

Question 36

Coral Cloud Resorts (CCR) sees the agent forgot the dietary/activity preferences gathered earlier. They need those preferences to persist throughout the session.

What should CCR implement?

1. Create a context variable to capture/store customer preferences as action outputs.
2. Configure custom variables to capture/store customer preferences from action outputs.
3. Rely on natural conversation memory and instruct the agent to look back.

Question 37

Universal Containers (UC) stores case details and updates in several custom fields and custom objects related to the case. UC would like its Agentforce Service Agent to be able to provide information in these fields and related records as part of an answer back to its customers when the customer is asking for updates.

Which best practice should UC follow to grant access to this information for the Agentforce Service Agent?

1. Update the Object and Field access in the AgentforceServiceAgentUserPsg permission set group that is already assigned to the Agentforce Service Agent user.
2. Update the Object and Field access in the Einstein Agent User Profile so that the Agentforce Service Agents will always get the necessary access.
3. Create a new permission set with the Einstein Agent License and enable Read access to the custom fields and custom objects, and assign it to the Agentforce Service Agent user.

Question 38

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?

1. Create a Sales Email prompt template type.
2. Create a Field Generation prompt template type.
3. Use Sales Email standard templates.

Question 39

When is the Agent to Agent (A2A) protocol an appropriate communication choice?

1. When agents need to access tools
2. When agents need to invoke third-party APIs
3. When agents need to collaborate

Question 40

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?

1. Review the Action Instructions to ensure they are unique.
2. Ensure the input and output types are correctly chosen.
3. Review that the custom action is assigned to an Agent.

Question 41

Universal Containers' service team wants to customize the standard case summary response from Agentforce.

What should the Agentforce Specialist do to achieve this?

1. Summarize the Case with a standard Agent action.
2. Create a custom Record Summary prompt template for the Case object.
3. Customize the standard Record Summary template for the Case object.

Question 42

What is automatically created when a custom search index is created in Data Cloud?

1. A dynamic retriever to allow runtime selection of retriever parameters without manual configuration
2. A retriever that shares the name of the custom search index
3. A predefined Apex retriever class that can be edited by a developer to meet specific needs

Question 43

What is the purpose of applying filters in a custom retriever configuration?

1. Filters reformat and aggregate multiple documents into a single summary output to streamline and unify retriever output for more efficient and accurate AI grounding.
2. Filters automatically encrypt and mask sensitive fields in the search index to ensure that only non-confidential information is retrieved for public queries.
3. Filters narrow the search results by applying up to 10 conditions based on fields defined in the search index, thereby enhancing the relevancy of the content returned.

Question 44

Universal Containers (UC) 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?

1. The user's locale language is not supported by Prompt Builder.
2. The user does not have permission to access the fields.
3. The user does not have Einstein Sales Emails permission assigned.

Question 45

Universal Containers plans to enhance the customer support team’s productivity using AI.

Which specific use case necessitates the use of Prompt Builder?

1. Creating a draft of a support bulletin post for new product patches
2. Creating an AI-generated customer support agent performance score
3. Estimating support ticket volume based on historical data and seasonal trends

Question 46

Universal Containers would like to route a service agent conversation to a human agent queue.

Which tool connects the service agent to the human agent queue for escalation?

1. Outbound Omni-Channel Flow
2. Screen Flow
3. Prompt Flow

Question 47

Universal Containers has created an Employee Agent.

Which step should an Agentforce Specialist take to connect the agent with a Slack channel?

1. Create an Omni-Channel flow and connection between Salesforce and the Slack workspace.
2. Create an embedded service deployment and connection between Salesforce and the Slack workspace.
3. Create a connection between Salesforce and the Slack workspace.

Question 48

Before activating a custom Agent action, an Agentforce Specialist would like to understand multiple real-world user utterances to ensure the action is being selected appropriately.

Which tool should the Agentforce Specialist recommend?

1. Agentforce
2. Model Playground
3. Agent Builder

Question 49

Universal Containers (UC) wants to empower its marketing team with AI capabilities that help employees quickly find campaign data, generate creative content, and manage project tasks. The solution should also allow marketers to receive personalized support, surface relevant information, and complete work directly in Salesforce.

Which AI solution should UC implement?

1. Employee Agent
2. Sales Coach Agent
3. Service Agent

Question 50

Which element in the Omni-Channel flow should be used to connect the flow with the agent?

1. Decision
2. Route Work Action
3. Assignment

Question 51

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

1. Data preparation focuses on real-time data ingestion and dynamic indexing to generate dynamic grounding reference data without preprocessing steps.
2. Data preparation entails aggregating, normalizing, and encoding structured datasets to ensure compliance with data governance and security protocols.
3. Data preparation involves loading, chunking, vectorizing, and storing content in a search-optimized manner to support retrieval from the vector database.

Question 52

Universal Containers would like to route SMS text messages to a service rep from an Agentforce Service Agent.

Which Service Channel should the company use in the flow to ensure it’s routed properly?

1. Live Agent
2. Messaging
3. Route Work Action

Question 53

Universal Containers has multiple Salesforce orgs, each with a unique customer service agent where a verification agent must pass customer identity data to downstream agents handling account modifications. The customer ID must remain secure and persistent across agent handoffs without exposure to large language model (LLM) modification.

What is the most appropriate configuration?

1. Use the Agent API to start the downstream agent’s session and pass the verified customer ID as a read only context variable, ensuring security and preventing LLM alteration.
2. Store customer identity information in conversation variables created by the first agent and have other agents read those same conversation variables.
3. Implement a custom object to temporarily store verification status and have each agent query it via SOQL actions during execution.

Question 54

Universal Containers (UC) is expanding its Agentforce for Service capabilities to include case management. For security purposes, UC wants the agent to verify a customer’s identity before providing any case related information. The verification must be deterministic, ensuring that no case details are shared unless identity verification has been successfully completed.

Which approach best meets this requirement?

1. Store the verification status in a custom variable and set a global instruction that the agent should check this variable before sharing case information.
2. Create a variable to store the verification status, set it as output from a “Verify Identity” action, and apply a filter so any case-related actions only run when the variable confirms verification.
3. Use keywords such as “Always” and “Never” to write clear logic in Topic Instructions to verify user identity before providing any case information.

Question 55

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

1. Identifying agent topics and actions to respond to user utterances
2. Offering real-time natural language response during conversations
3. Generating record queries based on conversation history

Question 56

What considerations should an Agentforce Specialist be aware of when using Record Snapshots grounding in a prompt template?

1. Empty data, such as fields without values or sections without limits, is filtered out.
2. Email addresses associated with the object are excluded.
3. Activities such as tasks and events are excluded.

Question 57

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

1. 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.
2. When data is being retrieved from Snowflake using zero-copy for vectorization and retrieval.
3. 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.

Question 58

Coral Cloud Resorts is implementing Agentforce retrieval. Customers sometimes type ambiguous terms (for example, “package” could mean vacation package or baggage).

Which retrieval strategy best balances precision and contextual disambiguation?

1. Use keyword search only, which prioritizes exact term matching but risks missing contextual meaning.
2. Use semantic search only, which captures intent but may struggle with ambiguous terms when no context is provided.
3. Use hybrid search, which combines keyword matching for precision with semantic embeddings for context.

Question 59

When a verified customer in a help center says, “I want to upgrade my service plan,” an AI agent needs to complete the following tasks:

• Verify identity and entitlement.

• Create a new quote.

• Calculate a prorated upgrade amount.

• Escalate to an Account Executive (AE) only if the reorder exceeds US$25,000.

Which type of agent should an Agentforce Specialist build to support this use case?

1. Employee Agent to orchestrate internal logistics and finance
2. Service Agent to resolve the case end-to-end and create a new opportunity for the sales team
3. Sales Agent to handle the upsell and large-deal escalation

Question 60

Universal Containers wants to reduce overall customer support handling time by 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 Agentforce for Service features enables this effort?

1. Einstein Reply Recommendations and Case Classification
2. Einstein Reply Recommendations and Case Summaries
3. Einstein Service Replies and Work Summaries

Question 61

What is a valid use case for Data Cloud retrievers?

1. Modifying and updating data within the source systems connected to Data Cloud
2. Grounding data from external websites to augment a prompt with RAG
3. Returning relevant data from the vector database to augment a prompt

Question 62

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 field is missing.

How should UC resolve this?

1. Update the search index to include the desired field.
2. Create a new custom Data Cloud object that includes the desired field.
3. Modify the retriever’s configuration to include the desired field.

Question 63

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?

1. Plan Canvas
2. Event Logs
3. Agent Settings

Question 64

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

1. Identify the best matching topic and actions and correct order of execution
2. Determine a user’s topic access and sort actions by priority to be executed
3. Find similar requested topics and provide the actions that need to be executed