Pass Guaranteed 2026 Salesforce Professional Test AI-201 Quiz

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: AI Agents	35%	- Agent User security and permissions - Agent types: Service, Sales, Employee - Deterministic controls: filters and variables - Channel integration: digital experience, email, Slack - Topics and actions configuration - Agent architecture and reasoning engine
Topic 2: Multi-Agent Interoperability	5%	- Agent API usage scenarios - Agent-to-agent communication - Model Context Protocol (MCP)
Topic 3: Development Lifecycle	15%	- Testing agents in Testing Center - Monitoring, adoption and optimization - Deployment: sandbox to production - Version control and maintenance
Topic 4: Prompt Engineering	20%	- Prompt management and user roles - Prompt Builder usage and use cases - Grounding techniques and best practices - Prompt template creation: field generation, flex types
Topic 5: Data Cloud for Agentforce	20%	- Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Improving response accuracy with data grounding - Agentforce Data Library types

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Salesforce Certified Agentforce Specialist Sample Questions (Q229-Q234):

NEW QUESTION # 229
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 # 230
How does Agentforce select the correct action to resolve a user's request?

A. The large language model (LLM) selects the right topic and action, if they exist. If there are no matches, the LLM attempts to answer the user's request.
B. Each topic contains a list of the matching action's user utterances so that the agent can map the user request to the right topic and action.
C. The reasoning engine identifies the agent action to be executed by its name and action input instructions.

Answer: A

Explanation:
In the AgentForce Architecture and Reasoning Engine Overview, Salesforce explains that the large language model (LLM) drives topic and action selection. The documentation states:
"AgentForce uses an LLM to interpret user intent, map it to existing topics, and trigger the appropriate action when available. If no matching topic or action is found, the LLM attempts to generate a direct response using its available context."

NEW QUESTION # 231
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?

A. Prompt Builder
B. Model Builder
C. Agent Builder

Answer: A

Explanation:
The hotel resort team needs an AI-generated guest summary with recommendations, displayed exclusively on the contact record page.

NEW QUESTION # 232
Universal Containers (UC) wants to make a marketing newsletter and directly use data from five unrelated objects (two standard and three custom) in a prompt template. How should UC accomplish this?

A. Create a prompt template-triggered flow to access the data from five objects.
B. Create a flex template and use the five objects as inputs.
C. Create a prompt template passing in special custom object that connects the records temporarily.

Answer: B

NEW QUESTION # 233
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?

A. Clone the existing template and modify as needed.
B. Save as New Template and edit as needed.
C. Save as New Version and edit as needed.

Answer: A

Explanation:
Universal Containers (UC) has a standard email prompt template (likely a prebuilt template provided by Salesforce) that isn't meeting their needs, and they want to customize it while retaining its original content as a starting point. Let's assess the options based on Agentforce prompt template management practices.

NEW QUESTION # 234
......

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