Easy To Download Salesforce AI-201 Exam Dumps Updated 315 Questions
New Updated AI-201 Exam Questions 2026
NEW QUESTION # 63
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?
- A. Ensure the input and output types are correctly chosen.
- B. Review the action Instructions to ensure they are unique.
- C. Review that the custom action Is assigned to an Agent.
Answer: B
Explanation:
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B). In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
Review Action Instructions: Ensure each custom action has distinct, context-specific instructions.
For example:
Action 1: "Summarize quarterly sales by region."
Action 2: "Generate a product-wise sales breakdown for the current fiscal year." Action 3: "Provide a comparison of sales performance between online and in-store channels." Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.
NEW QUESTION # 64
An Agentforce is tasked to optimize a business process flow by assigning actions to agents within the Salesforce Agentforce Platform. What is the correct method for the Agentforce Specialist to assign actions to an Agent?
- A. Assign the action to a Topic first on Action Builder.
- B. Assign the action to a Topic First in Agent Builder.
- C. Assign the action to a Topic first on the Agent Actions detail page.
Answer: B
Explanation:
In the Salesforce Agentforce Platform, assigning actions to Agents requires mapping them through Topics in Agent Builder. Topics act as the container that links an Agent's conversational intent with the specific actions it can perform. By first assigning an action to a Topic in Agent Builder, the Agentforce Specialist ensures that the Agent knows when and how to trigger the action during the business process flow.
NEW QUESTION # 65
A Salesforce Administrator is exploring the capabilities of Agent to enhance user interaction within their organization. They are particularly interested in how Agent processes user requests and the mechanism it employs to deliver responses. The administrator is evaluating whether Agent 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 Agent handle user requests In Salesforce?
- A. Agent analyzes the user's request and LLM technology is used to generate and display the appropriate response.
- B. Agent will perform an HTTP callout to an LLM provider.
- C. Agent will trigger a flow that utilizes a prompt template to generate the message.
Answer: A
Explanation:
Agent is designed to enhance user interaction within Salesforce by leveraging Large Language Models (LLMs) to process and respond to user inquiries. When a user submits a request, Agent analyzes the input using natural language processing techniques. It then utilizes LLM technology to generate an appropriate and contextually relevant response, which is displayed directly to the user within the Salesforce interface.
NEW QUESTION # 66
Universal Containers (UC) uses Salesforce Service Cloud to support its customers and agents handling cases. UC is considering implementing Agent and extending Service Cloud to mobile users. When would Agent implementation be most advantageous?
- A. When the goal is to streamline customer support processes and improve response times
- B. When the focus is on optimizing marketing campaigns and strategies
- C. When the main objective is to enhance data security and compliance measures
Answer: A
Explanation:
Agent implementation would be most advantageous in Salesforce Service Cloud when the goal is to streamline customer support processes and improve response times. Agent can assist agents by providing real-time suggestions, automating repetitive tasks, and generating contextual responses, thus enhancing service efficiency.
NEW QUESTION # 67
A company wants to retrieve patient history details to augment the AI agent response and plans to use the Data Cloud search index feature. What is best practice when considering retrieval- augmented generation (RAG) for information that may contain personally identifiable information (PII)?
- A. Depend on the agent's prompt to avoid exposing PII
- B. Mask sensitive fields and index only non-PII data
- C. Encrypt embeddings, but still index PII records
Answer: B
NEW QUESTION # 68
Which part of the Einstein Trust Layer architecture leverages an organization's own data within a large language model (LLM) prompt to confidently return relevant and accurate responses?
- A. Prompt Defense
- B. Dynamic Grounding
- C. Data Masking
Answer: B
Explanation:
Dynamic Grounding in the Einstein Trust Layer architecture ensures that large language model (LLM) prompts are enriched with organization-specific data (e.g., Salesforce records, Knowledge articles) to generate accurate and relevant responses. By dynamically injecting contextual data into prompts, it reduces hallucinations and aligns outputs with trusted business data.
NEW QUESTION # 69
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?
- A. Streamlining workflows and automating repetitive tasks
- B. Improving data entry and data cleansing
- C. Allowing AI to perform tasks without user interaction
Answer: A
Explanation:
The key reason for implementing Agent is its ability to streamline workflows and automate repetitive tasks. By leveraging AI, Agent can assist users in handling mundane, repetitive processes, such as automatically generating insights, completing actions, and guiding users through complex processes, all of which significantly improve operational efficiency.
NEW QUESTION # 70
Universal Containers wants to leverage the Record Snapshots grounding feature in a prompt template. What preparations are required?
- A. Configure page layout of the master record type.
- B. Create a field set for all the fields to be grounded.
- C. Enable and configure dynamic form for the object.
Answer: A
Explanation:
Record Snapshots in Salesforce Prompt Builder leverage the data visible on the user's page layout for an object to ground the prompt. This means that the fields and related lists that are configured on the page layout directly influence the data included in the snapshot.
NEW QUESTION # 71
Which configuration must An Agentforce complete for users to access generative Al-enabled fields in the Salesforce mobile app?
- A. Enable Dynamic Forms on Mobile.
- B. Enable Mobile Generative AI.
- C. Enable Mobile Prompt Responses.
Answer: B
Explanation:
Universal Containers (UC) has generative AI-enabled fields that users can access in the desktop experience.
The Agentforce Specialist needs these same fields to be visible and usable in the Salesforce Mobile App.
NEW QUESTION # 72
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?
- A. Use the Prompt Builder Scorecard to help monitor.
- B. Periodically change the templates grounding object.
- C. Monitor and refine the template based on user feedback.
Answer: A
Explanation:
To address the ineffectiveness of a prompt template reported by a customer, the Salesforce Agentforce Specialist should use the Prompt Builder Scorecard (Option B). This tool is explicitly designed to evaluate and monitor prompt templates against key criteria such as relevance, accuracy, safety, and grounding. By leveraging the scorecard, the specialist can systematically identify weaknesses in the template and make data-driven refinements. While monitoring and refining based on user feedback (Option A) is a general best practice, the Prompt Builder Scorecard is Salesforce's recommended tool for structured evaluation, aligning with documented processes for maintaining prompt effectiveness. Changing the grounding object (Option C) without proper evaluation is reactive and does not address the root cause.
NEW QUESTION # 73
An Agentforce created a custom Agent action, but it is not being picked up by the planner service in the correct order. Which adjustment should the Al Specialist make in the custom Agent action instructions for the planner service to work as expected?
- A. Specify the LLM model provider and version to be used to invoke the action.
- B. Specify the dependent actions with the reference to the action API name.
- C. Specify the profiles or custom permissions allowed to invoke the action.
Answer: B
Explanation:
When a custom Agent action is not being prioritized correctly by the planner service, the root cause is often missing or improperly defined action dependencies. The planner service determines the execution order of actions based on dependencies defined in the action instructions. To resolve this, the Agentforce Specialist must explicitly specify dependent actions using their API names in the custom action's configuration. This ensures the planner understands the sequence in which actions must be executed to meet business logic requirements.
Salesforce documentation highlights that dependencies are critical for orchestrating workflows in Einstein Bots and Agentforce. For example, if Action B requires data from Action A, Action A's API name must be listed as a dependency in Action B's instructions. The Einstein Bot Developer Guide states that failing to define dependencies can lead to race conditions or incorrect execution order.
NEW QUESTION # 74
In addition to Recipient and Sender, which object should An Agentforce utilize for inserting merge fields into a Sales email template prompt?
- A. User Organization
- B. Recipient Account
- C. Recipient Opportunities
Answer: B
Explanation:
Sales Email Template Use Case:
When creating a Sales email template (especially for outreach or follow-up), you often need to reference relevant details about the Account linked to the recipient.
Standard Merge Fields in Salesforce Email Templates:
Recipient (Contact, Lead, or Person receiving the email)
Sender (User sending the email)
Recipient Account (the Account related to that Contact, providing company-level details and other relevant data) Why Recipient Account?
For Sales communications, referencing the Account data (e.g., Account name, industry, or other custom fields) in an email is very common.
This is especially important for B2B scenarios where the Contact is tied to an Account.
"Recipient Opportunities" could be multiple, so it's less direct for standard email merges. The
"User Organization" is more generic internal information, not typically inserted for personalization to the recipient.
NEW QUESTION # 75
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?
- A. 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.
- B. 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.
- C. 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.
Answer: C
Explanation:
Why is "Salesforce Knowledge is not enabled" the correct answer?
If an administrator only sees the file upload option in Einstein Data Libraries and cannot configure a Salesforce Knowledge base, the most likely reason is that Salesforce Knowledge is not enabled in the organization.
Key Considerations for Einstein Data Libraries:
Salesforce Knowledge Integration is Optional
Einstein Data Libraries can pull knowledge data only if Salesforce Knowledge is enabled.
If Knowledge is not activated, the system will default to file uploads as the only available option.
How to Fix This Issue?
The administrator should enable Salesforce Knowledge in Setup Knowledge Settings.
Once enabled, the option to configure Knowledge-based Data Libraries will become available.
NEW QUESTION # 76
What is an appropriate use case for leveraging Agentforce Sales Agent in a sales context?
- A. Enable a sates team to use natural language to invoke defined sales tasks grounded in relevant data and be able to ensure company policies are applied. conversationally and in the now or work.
- B. Instantly review and read incoming messages or emails that are then logged to the correct opportunity, contact, and account records to provide a full view of customer interactions and communications.
- C. Enable a sales team by providing them with an interactive step-by-step guide based on business rules to ensure accurate data entry into Salesforce and help close deals fatter.
Answer: A
Explanation:
Agentforce Sales Agent is designed to let sales teams perform tasks via natural language commands, leveraging Salesforce data while adhering to policies. For example, agents can ask the AI to "update the opportunity stage to Closed Won" or "generate a quote," with the system enforcing validations and data security. This use case aligns with Salesforce's vision of conversational AI streamlining workflows without compromising compliance.
NEW QUESTION # 77
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?
- A. Create a custom Agent action which calls a flow.
- B. Configure the Integration Flow Standard Action in Agent Builder.
- C. Create a Flex prompt template in Prompt Builder.
Answer: A
Explanation:
Why is "Create a custom Agent action which calls a flow" the correct answer?
In Agentforce, the best way to allow service agents to query order fulfillment status from an external system (Oracle ERP) using natural language is to create a custom Agent action that invokes an existing autolaunched flow.
Key Considerations for This Approach:
Custom Agent Action Triggers the Flow
A custom Agent action is designed to call Salesforce flows, enabling external system integration.
The flow retrieves real-time fulfillment data from Oracle ERP and returns results to the agent.
Enables AI-Powered Query Execution
The Agent can understand natural language and map user utterances to the correct Agent action.
This ensures that agents receive accurate order fulfillment updates quickly.
No Need for Manual Data Entry
Instead of manually searching Oracle ERP, agents can query fulfillment status using AI-powered Agentforce workflows.
NEW QUESTION # 78
An account manager is preparing for an upcoming customer call and wishes to get a snapshot of key data points from accounts, contacts, leads, and opportunities in Salesforce. Which feature provides this?
- A. Work Summaries
- B. Sales Insight Summary
- C. Sales Summaries
Answer: B
Explanation:
Sales Insight Summary aggregates key data points from multiple Salesforce objects (accounts, contacts, leads, opportunities) into a consolidated view, enabling account managers to quickly access relevant information for customer calls.
NEW QUESTION # 79
Universal Containers (UC) is setting up a new Agentforce Service Agent. The company has sensitive medical product research stored internally and wants to ensure the agent cannot access it. What should UC da?
- A. Disable the Agentforce Service Agent's ability to use any Salesforce custom object or related fields.
- B. Assign the Agentforce Service Agent user the lowest possible role in the organization's hierarchy to block access.
- C. Follow the principle of least privilege and avoid granting permission to view the Medical Product object or related
Answer: C
Explanation:
The AgentForce Security and Access Control Best Practices Guide emphasizes the principle of least privilege, which means granting each agent only the permissions strictly necessary to perform its defined tasks.
To prevent unauthorized access to sensitive data such as medical research, administrators should exclude permissions for the Medical Product object and related records from the AgentForce Service Agent's permission set group. This approach ensures that even if the reasoning engine processes a related query, it cannot retrieve or expose data it lacks access to.
NEW QUESTION # 80
A sales manager needs to contact leads at scale with hyper-relevant solutions and customized communications in the most efficient manner possible. Which Salesforce solution best suits this need?
- A. Einstein Lead follow-up
- B. Prompt Builder
- C. Einstein Sales Assistant
Answer: B
Explanation:
The question specifies a sales manager's need to:
Contact leads at scale: Handle a large volume of leads simultaneously.
Hyper-relevant solutions: Deliver tailored solutions based on lead-specific data (e.g., CRM data, behavior).
Customized communications: Personalize outreach (e.g., emails, messages) for each lead.
Most efficient manner possible: Minimize manual effort and maximize automation.
This suggests a solution that leverages AI for personalization and automation for scale, ideally within the Salesforce ecosystem.
NEW QUESTION # 81
Universal Containers is setting up the data library configuration within the Agentforce Builder.
What is true regarding Agentforce Data Libraries?
- A. Each data category can only have one data library.
- B. An agent can have only one data library assigned to it.
- C. Only data library owners can assign it to the agent.
Answer: B
Explanation:
The correct statement regarding the configuration limit of Agentforce Data Libraries is that An agent can have only one data library assigned to it (C).
Agentforce Data Libraries are the mechanism by which an agent is "grounded" in an organization's internal, trusted knowledge (using Retrieval Augmented Generation or RAG). To ensure that the agent's focus remains sharp and its retrieval process is efficient and accurate, there is a one-to-one relationship between an Agentforce Agent and the Data Library it uses for grounding.
NEW QUESTION # 82
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