[May-2026] Pass AI-201 Exam in First Attempt Updated AI-201 Exam Questions
AI Specialist Dumps AI-201 Exam for Full Questions - Exam Study Guide
NEW QUESTION # 35
How should an organization use the Einstein Trust layer to audit, track, and view masked data?
- A. Access the audit trail in Setup and export all user-generated prompts.
- B. Utilize the audit trail that captures and stores all LLM submitted prompts in Data Cloud.
- C. In Setup, use Prompt Builder to send a prompt to the LLM requesting for the masked data.
Answer: B
Explanation:
The Einstein Trust Layer is designed to ensure transparency, compliance, and security for organizations leveraging Salesforce's AI and generative AI capabilities. Specifically, for auditing, tracking, and viewing masked data, organizations can utilize:
Audit Trail in Data Cloud: The audit trail captures and stores all prompts submitted to large language models (LLMs), ensuring that sensitive or masked data interactions are logged. This allows organizations to monitor and audit all AI-generated outputs, ensuring that data handling complies with internal and regulatory guidelines. The Data Cloud provides the infrastructure for managing and accessing this audit data.
NEW QUESTION # 36
In addition to Recipient and Sender, which object should An Agentforce utilize for inserting merge fields into a Sales email template prompt?
- A. Recipient Opportunities
- B. Recipient Account
- C. User Organization
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 # 37
Universal Containers' sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments. Which Einstein Generative AI feature should An Agentforce recommend for this request?
- A. Einstein Call Summaries
- B. Einstein Video KPI
- C. Einstein Conversation Insights
Answer: C
Explanation:
Einstein Conversation Insights analyzes sales calls (including video and voice) to capture key moments, deal terms, competitor mentions, and customer sentiment. It helps sales management quickly understand what was discussed without manually reviewing the entire call.This feature ensures actionable insights are delivered directly into the Salesforce CRM, allowing sales managers to gain a concise overview without manually reviewing long recordings.
NEW QUESTION # 38
Universal Containers (UC) is preparing to use the Agentforce Testing Center to ensure the reliability of a new agent. UC has a CSV file with test cases and is reviewing the documentation to understand best practices and limitations. Which best practice should the company follow to avoid modifying CRM data while running tests in the Testing Center?
- A. Limit the number of test cases to 50 per test to minimize data changes.
- B. Use the Testing Center only in the sandbox environment.
- C. Run tests in the production environment to ensure real-time data accuracy.
Answer: B
Explanation:
According to the AgentForce Testing and Validation Guidelines, all automated or large-scale test runs in Testing Center should be executed in a sandbox environment to prevent any unintended modifications to live CRM data.
Running tests in production can trigger record updates, create cases, or call actions that alter live data, violating best practice standards for safe validation. Testing in a sandbox ensures the environment mirrors production logic while maintaining data isolation.
NEW QUESTION # 39
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 AlI-enabled field icon next to the summary field.
What is the most likely cause of the issue?
- A. The user does not have the Prompt Template User permission set assigned.
- B. The user does not have the field Generative AI User permission set assigned.
- C. The prompt template associated with summary field is not activated for that user.
Answer: B
Explanation:
In Salesforce, Generative AI capabilities are controlled by specific permission sets. To use features such as generating summaries with AI, users need to have the correct permission sets that allow access to these functionalities.
Generative AI User Permission Set: This is a key permission set required to enable the generative AI capabilities for a user. In this case, the missing Generative AI User permission set prevents the user from seeing the generative AI-enabled field icon. Without this permission, the generative AI feature in the Competitor Analysis custom object won't be accessible.
NEW QUESTION # 40
An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.
1. Create a new Field Generation prompt template.
2. Choose Case as the object type.
3. Select the custom field AI_Analysis_c as the target field.
After creating the prompt template, the Agentforce Specialist saves, tests, and activates it.
Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When the Agentforce Specialist was editing the field, it was behaving as a normal field.
Which critical step did the Agentforce Specialist miss?
- A. They forgot to reactivate the Lightning page layout for the Case object after activating their Field Generation prompt template.
- B. They forgot to edit the Lightning page layout and associate the field to a prompt template
- C. They forgot that the Case Object is not supported for Add generation as Feinstein Service Replies should be used instead.
Answer: B
Explanation:
For Field Generation prompt templates to display the Sparkle icon (indicating AI-generated content), the target field must be explicitly associated with the prompt template on the Lightning page layout. Even if the prompt template is activated, failing to add the field to the page layout and link it to the template will result in the field behaving as a standard field. Salesforce documentation emphasizes that page layout configuration is mandatory to enable AI-driven field interactions.
NEW QUESTION # 41
Universal Containers implemented Agent for its users. One user complains that Agent is not deleting activities from the past 7 days. What is the reason for this issue?
- A. Agent Delete Record Action permission is not associated to the user.
- B. Agent does not have the permission to delete the user's records.
- C. Agent does not support the Delete Record action.
Answer: C
Explanation:
Agent currently supports various actions like creating and updating records but does not support the Delete Record action. Therefore, the user's request to delete activities from the past 7 days cannot be fulfilled using Agent.
Unsupported Action: The inability to delete records is due to the current limitations of Agent's supported actions. It is designed to assist with tasks like data retrieval, creation, and updates, but for security and data integrity reasons, it does not facilitate the deletion of records.
User Permissions: Even if the user has the necessary permissions to delete records within Salesforce, Agent itself does not have the capability to execute delete operations.
NEW QUESTION # 42
Universal Containers (UC) wants to enable its sales team to use Al to suggest recommended products from its catalog. Which type of prompt template should UC use?
- A. Record summary prompt template
- B. Email generation prompt template
- C. Flex prompt template
Answer: C
Explanation:
Universal Containers (UC) wants to enable its sales team to leverage AI to recommend products from its catalog. The best option for this use case is a Flex prompt template.
A Flex prompt template is designed to provide flexible, customizable AI-driven recommendations or responses based on specific data points, such as product information, customer needs, or sales history. This template type allows the AI to consider various inputs and parameters, making it ideal for generating product recommendations dynamically.
NEW QUESTION # 43
What should An Agentforce consider when using related list merge fields in a prompt template associated with an Account object in Prompt Builder?
- A. Prompt generation will yield no response when there is no related list associated with an Account in runtime.
- B. If person accounts have been enabled, merge fields will not be available for the Account object.
- C. The Activities related list on the Account object is not supported because it is a polymorphic field.
Answer: C
Explanation:
When using related list merge fields in a prompt template associated with the Account object in Prompt Builder, the Activities related list is not supported due to it being a polymorphic field.
Polymorphic fields can reference multiple different types of objects, which makes them incompatible with some merge field operations in prompt generation.
NEW QUESTION # 44
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?
- A. Ask it to role-play as a character in the prompt template to provide more context to the LLM.
- B. Include multiple-choice questions within the prompt to test the LLM's understanding of the context.
- C. Train LLM with data using different writing styles including word choice, intensifiers, emojis, and punctuation.
Answer: A
Explanation:
UC is using Prompt Builder with standard foundation models (e.g., via Atlas Reasoning Engine).
NEW QUESTION # 45
Universal Containers (UC) plans to automatically populate the Description field on the Account object. Which type of prompt template should UC use?
- A. Flex Prompt template
- B. Field Generation prompt template
- C. Sales Email prompt template
Answer: B
Explanation:
Universal Containers (UC) wants to automatically populate the Description field on the Account object. The AI-driven solution must generate textual data and write it directly into a field.
Field Generation Prompt Template
Primary Use Case: A Field Generation prompt template is specifically designed to create or fill in fields on a record with AI-generated text.
Auto-population: By configuring a Field Generation prompt template, admins can define the instructions, data inputs, and desired output for the AI. The resulting text then populates the specified field, such as the Account Description.
NEW QUESTION # 46
Universal Containers (UC) plans to answer questions based on similar cases that have been successfully resolved in the past. What should UC consider when implementing this approach?
- A. Create an unstructured data model object (UDMO) based on Case object and create an index on it.
- B. Create a data model object (DMO) based on Case object and create an index on it.
- C. No action is needed, as past cases are used to answer the question.
Answer: A
Explanation:
According to the AgentForce Data Configuration and Retrieval Guide, when an organization like Universal Containers wants to enable its AI agent to answer questions using historical case data, the correct implementation is to create an Unstructured Data Model Object (UDMO) based on the Case object, then index that data for retrieval.
The documentation clearly explains:
"When using previous case records to power AI-driven Q&A or similarity-based retrieval, create a UDMO mapped to the Case object. UDMOs allow the system to process and semantically index unstructured text fields such as Case Description, Resolution, and Comments, enabling the LLM to surface contextually similar resolved cases." This allows the AgentForce retrieval engine to perform semantic searches across historical support data, returning cases that are most contextually relevant to the user's query.
NEW QUESTION # 47
Which design choice MOST reduces the risk of hallucinations?
- A. Open-ended instructions
- B. Strong grounding in Salesforce data
- C. Higher temperature settings
- D. Larger prompts
Answer: B
Explanation:
Grounding responses in trusted Salesforce data significantly reduces hallucinations.
NEW QUESTION # 48
An agent must decide whether to resolve a Case automatically or escalate it to a human. Which design principle BEST supports this behavior?
- A. Anonymous execution
- B. Static response templates
- C. Human-in-the-loop design
- D. Hard-coded escalation rules
Answer: C
Explanation:
Human-in-the-loop design allows the agent to hand off to humans when confidence is low or business rules require approval.
NEW QUESTION # 49
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?
- A. SOQL
- B. Apex Trigger
- C. Flows
Answer: C
Explanation:
The Agentforce Specialist is defining a custom action for an Agentforce agent in Agent Builder.
Actions determine what the agent does (e.g., retrieve data, update records).
NEW QUESTION # 50
Coral Cloud Resorts wants to cover a broad range of user phrasing when testing its FAQ agent.
Which Testing Center feature meets that need?
- A. Al-generated synthetic test utterances based on natural language variations
- B. Uploading only a small set of manually written prompts
- C. Relying on live customer logs to capture phrasing diversity after deployment
Answer: A
Explanation:
The AgentForce Testing Center Functional Overview highlights that AI-powered synthetic test utterances allow teams to automatically generate natural language variations of existing test prompts. This feature helps validate whether the agent can correctly classify and respond to diverse user phrasing - a crucial step in ensuring conversational robustness and intent coverage.
By expanding each test case into multiple paraphrased utterances, the Testing Center evaluates how well the reasoning engine generalizes user intent, improving reliability before deployment.
NEW QUESTION # 51
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. A data stream, a search index, and a retriever
- B. A data connector, an analytics dashboard, and a workflow rule
- C. A data pipeline, an indexing engine, and a query processor
Answer: A
Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
Data Stream
This acts as the pipeline that brings data into Data Cloud.
It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
Search Index
After ingestion, data is indexed for efficient search and retrieval.
This allows AI models to perform structured queries and retrieve relevant data faster.
Retriever
The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
It ensures that AI-generated responses are grounded in structured, reliable data.
NEW QUESTION # 52
Universal Containers (UC) has configured a data library and wants to restrict indexing of knowledge articles to articles which are only publicly available in their knowledge base, UC also wants the agent to link sources that the large language model (LLM) grounded its response on.
Which settings should help UC with this?
- A. In the data library setting window, under Knowledge Settings, enable Use Public Knowledge Article. It is not possible to display articles that the LLM grounded its response in.
- B. In the data library setting window, under Knowledge Settings, enable Use Public Knowledge Article and select Show sources,
- C. Use Data Categories to categorize publicly available articles to index. Sources are automatically displayed when knowledge articles are categorized as Public.
Answer: B
Explanation:
According to the AgentForce Data Library Configuration Guide, administrators can restrict indexing and retrieval of Knowledge articles to publicly available ones and enable source visibility for LLM-grounded responses. The documentation states:
"Within the data library settings, under Knowledge Settings, enable `Use Public Knowledge Articles' to ensure only publicly visible content is indexed. To display citations, enable `Show Sources' so the agent links the specific articles or data records used to ground its response."
NEW QUESTION # 53
An Agentforce agent occasionally provides responses that reference outdated Case information.
What is the MOST effective way to reduce this issue?
- A. Disable the Einstein Trust Layer
- B. Increase prompt temperature
- C. Rely only on static instructions
- D. Improve data grounding using live Salesforce records
Answer: D
Explanation:
Grounding responses in live Salesforce CRM data ensures the agent uses current and accurate information.
NEW QUESTION # 54
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 the Agent Actions detail page.
- B. Assign the action to a Topic first on Action Builder.
- C. Assign the action to a Topic First in Agent Builder.
Answer: C
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 # 55
Universal Containers (UC) wants to create a new Sales Email prompt template in Prompt Builder using the "Save As" function. However, UC notices that the new template produces different results compared to the standard Sales Email prompt due to missing hyperparameters. What should UC do to ensure the new prompt template produces results comparable to the standard Sales Email prompts?
- A. Manually add the hyperparameters to the new template.
- B. Revert to using the standard template without modifications.
- C. Use Model Playground to create a model configuration with the specified parameters.
Answer: A
Explanation:
When Universal Containers creates a new Sales Email prompt template using the "Save As" function, missing hyperparameters can result in different outputs. To ensure the new prompt produces comparable results to the standard Sales Email prompt, the Agentforce Specialist should manually add the necessary hyperparameters to the new template.
Hyperparameters like Temperature, Frequency Penalty, and Presence Penalty directly affect how the AI generates responses. Ensuring that these are consistent with the standard template will result in similar outputs.
NEW QUESTION # 56
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