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[General] Pass Guaranteed 2026 Salesforce The Best AI-201: Exam Salesforce Certified Agent

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【General】 Pass Guaranteed 2026 Salesforce The Best AI-201: Exam Salesforce Certified Agent

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Salesforce Certified Agentforce Specialist Sample Questions (Q162-Q167):NEW QUESTION # 162
Which business requirement presents a good use case for leveraging Einstein Prompt Builder?
  • A. Forecast future sales trends based on historical data.
  • B. Send reply to a request for proposal via a personalized email.
  • C. Identify potential high-value leads for targeted marketing campaigns.
Answer: B
Explanation:
Einstein Prompt Builder is a Salesforce feature that helps generate text (summaries, email content, responses) using AI models.
The question presents three potential use cases, asking which one best fits the capabilities of Einstein Prompt Builder.
Einstein Prompt Builder Typical Use Cases
Text Generation & Summaries: Great for writing or summarizing content, like responding to an email or generating text for a record field.

NEW QUESTION # 163
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 # 164
An agent must comply with regional data regulations (e.g., GDPR). Which Salesforce capability MOST directly supports this?
  • A. Custom metadata types
  • B. Einstein Trust Layer governance controls
  • C. Lightning App Builder
  • D. Reports and Dashboards
Answer: B
Explanation:
The Einstein Trust Layer enforces data residency, masking, and compliance policies.

NEW QUESTION # 165
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?
  • A. Deploy flows, Apex, and all agent-related items using either change sets or the Salesforce CLI/Metadata API.
  • B. Deploy the flows and Apex using normal deployment tools and manually create the agent-related items in production.
  • C. Use only change sets because the Salesforce CLI does not currently support the deployment of agent-related metadata.
Answer: A
Explanation:
Why is "Deploy flows, Apex, and all agent-related items using either change sets or the Salesforce CLI/Metadata API" the correct answer?
When deploying an Agentforce Agent with multiple topics and Agent Actions that use flows and Apex, a complete deployment solution is required. Change sets and the Salesforce CLI/Metadata API support the deployment of flows, Apex code, and agent-related metadata.
Key Considerations for Agentforce Deployments:
Supports Deployment of All Required Components
Agentforce Agents include flows, Apex classes, topics, and agent actions.
Change sets and Salesforce CLI/Metadata API allow deployment of all these components together, ensuring a smooth transition to production.
Agentforce Metadata Can Be Deployed Using Standard Tools
Change Sets: Allows admins to move configurations, custom objects, and metadata between Salesforce environments.
Salesforce CLI/Metadata API: Enables scripted deployments, automating the transfer of Agentforce configurations.
Ensures a Complete Migration Without Manual Configuration
Deploying all components together reduces the risk of misconfiguration.
Automating deployments using the Metadata API ensures consistency across environments.

NEW QUESTION # 166
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?
  • A. The number of tokens that can be processed by the LLM varies with total user demand.
  • B. The number of tokens generated by the dynamic nature of the prompt template will vary by record.
  • C. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
Answer: B
Explanation:
In Salesforce Agentforce, prompt templates are used to generate dynamic responses or field values by leveraging an LLM, often with grounding data from Salesforce records or external sources. The scenario describes a Field Generation prompt template that fails intermittently with token limit errors, indicating that the issue is tied to exceeding the LLM's token capacity (e.g., input + output tokens). The random nature of these failures suggests variability in the token count across different records, which is directly addressed by Option B.
Prompt templates in Agentforce can be dynamic, meaning they pull in record-specific data (e.g., customer names, descriptions, or other fields) to generate output. Since the data varies by record-some records might have short text fields while others have lengthy ones-the total number of tokens (words, characters, or subword units processed by the LLM) fluctuates. When the token count exceeds the LLM's limit (e.g., 4,096 tokens for some models), the process fails, but this only happens for records with higher token-generating data, explaining the randomness.

NEW QUESTION # 167
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