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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist Sample Questions (Q53-Q58):

NEW QUESTION # 53
Universal Containers is using Agentforce for Sales to find similar opportunities to help close deals faster. The team wants to understand the criteria used by the Agent to match opportunities.

A. Matched opportunities have a status of Closed Won from the last 12 months.
B. Matched opportunities were created in the last 12 months.
C. Matched opportunities are limited to the same account.

Answer: A

NEW QUESTION # 54
Once a data source is chosen for an Agentforce Data Library, what is true about changing that data source later?

A. The Data Retriever can be reconfigured to use a different data source.
B. The data source can be changed through the Data Cloud settings.
C. The data source cannot be changed after it is selected.

Answer: C

Explanation:
Why is "The data source cannot be changed after it is selected" the correct answer?
When configuring an Agentforce Data Library, the data source selection is permanent. Once a data source is set, it cannot be modified or replaced. This design ensures data consistency, security, and reliability within Salesforce's AI-driven environment.
Key Considerations in Agentforce Data Library
Data Source Lock-In
The chosen data source remains fixed to maintain data integrity and avoid inconsistencies.
Any updates or modifications require creating a new Data Library instead of modifying the existing one.
Why Can't the Data Source Be Changed?
The data source defines the foundation of AI-driven workflows, and any modification would disrupt processing logic.
Agentforce tools rely on structured datasets to enable AI-powered recommendations, and changing data sources could lead to inconsistencies in grounding techniques.
Workarounds for Changing Data Sources
If an organization needs to use a different data source, a new Agentforce Data Library must be created and configured from scratch.
Old data can be manually migrated into the new data source for continuity.

NEW QUESTION # 55
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

A. Make Less Formal
B. Optimize for Clarity
C. Enhance Friendliness

Answer: A

Explanation:
When Universal Containers uses the Draft with Einstein feature in Sales Cloud to create a personalized email, the predefined adjustment to Make Less Formal is the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
Enhance Friendliness would make the tone more positive, but not necessarily more casual.
Optimize for Clarity focuses on making the draft clearer but doesn't adjust the tone.

NEW QUESTION # 56
Universal Containers deploys a new Agentforce Service Agent into the company's website but is getting feedback that the Agentforce Service Agent is not providing answers to customer questions that are found in the company's Salesforce Knowledge articles. What is the likely issue?

A. The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.
B. The Agentforce Service Agent user is not assigned the correct Agent Type License.
C. The Agentforce Service Agent user was not given the Allow View Knowledge permission set.

Answer: C

Explanation:
Universal Containers (UC) has deployed an Agentforce Service Agent on its website, but it's failing to provide answers from Salesforce Knowledge articles.

NEW QUESTION # 57
Universal Containers wants to incorporate CRM data as well-formatted JSON in a prompt to a large language model (LLM). What is an important consideration for this requirement?

A. "CRM data to JSON" checkbox must be selected when creating a prompt template.
B. Apex code can be used to return a JSON formatted merge field.
C. JSON format should be enabled in Prompt Builder Settings.

Answer: B

Explanation:
Universal Containers (UC) wants to send well-formatted JSON data in a prompt to a large language model (LLM).
The question is about an important technical or design consideration for including CRM data as JSON in that prompt.

NEW QUESTION # 58
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