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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	20%	- Prompt Builder usage 1. Prompt templates and configuration 2. Field generation and flex templates - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design
Topic 2: Governance & Observability	10%	- AI governance 1. Trust layer and compliance concepts 2. Monitoring agent behavior
Topic 3: Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Testing and validation strategies 2. Sandbox to production deployment
Topic 4: AI Agents	35%	- Agent setup and orchestration 1. Standard and custom topics 2. Standard and custom agent actions - Agent behavior configuration 1. Filters and variables for deterministic behavior 2. Agent reasoning engine concepts
Topic 5: Data Cloud & Grounding	20%	- Data integration for AI agents 1. Connecting external data sources 2. Using Data Cloud for retrieval augmentation

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Salesforce Certified Agentforce Specialist Sample Questions (Q111-Q116):

NEW QUESTION # 111
An agent must comply with regional data regulations (e.g., GDPR). Which Salesforce capability MOST directly supports this?

A. Custom metadata types
B. Lightning App Builder
C. Einstein Trust Layer governance controls
D. Reports and Dashboards

Answer: C

Explanation:
The Einstein Trust Layer enforces data residency, masking, and compliance policies.

NEW QUESTION # 112
Support agents at Universal Containers are using Agentforce to find troubleshooting information.
They've reported that the agent frequently provides knowledge articles that are outdated, even when newer versions of the articles are available. The administrator has confirmed that all articles are correctly chunked and indexed. Which configuration change in the Data Cloud hybrid search index best addresses this problem?

A. Disable the keyword index to rely solely on the vector index.
B. Add a ranking factor for regency based on the LastModifiedDate field.
C. Switch the chunking strategy from section-aware to fixed-size.

Answer: B

Explanation:
The AgentForce Data Cloud Retrieval and Ranking Guide highlights that when outdated Knowledge articles appear before newer ones, administrators should configure ranking factors that prioritize content based on recency. The documentation specifies: "Adding a recency ranking factor using the LastModifiedDate or LastPublishedDate fields ensures the retrieval prioritizes the most up-to-date documents, improving response relevance."

NEW QUESTION # 113
An administrator is responsible for ensuring the security and reliability of Universal Containers' (UC) CRM data. UC needs enhanced data protection and up-to-date AI capabilities. UC also needs to include relevant information from a Salesforce record to be merged with the prompt.
Which feature in the Einstein Trust Layer best supports UC's need?

A. Dynamic grounding with secure data retrieval
B. Data masking
C. Zero-data retention policy

Answer: A

Explanation:
Dynamic grounding with secure data retrieval is a key feature in Salesforce's Einstein Trust Layer, which provides enhanced data protection and ensures that AI-generated outputs are both accurate and securely sourced. This feature allows relevant Salesforce data to be merged into the AI-generated responses, ensuring that the AI outputs are contextually aware and aligned with real-time CRM data.
Dynamic grounding means that AI models are dynamically retrieving relevant information from Salesforce records (such as customer records, case data, or custom object data) in a secure manner. This ensures that any sensitive data is protected during AI processing and that the AI model's outputs are trustworthy and reliable for business use.
The other options are less aligned with the requirement:
Data masking refers to obscuring sensitive data for privacy purposes and is not related to merging Salesforce records into prompts.
Zero-data retention policy ensures that AI processes do not store any user data after processing, but this does not address the need to merge Salesforce record information into a prompt.

NEW QUESTION # 114
Universal Containers wants an AI agent to answer questions about warranties using unstructured data stored in Data Cloud. Results must be filterable by product line and ranked by recent updates.

A. Use the default retriever which automatically accounts for recency ranking.
B. Apply semantic embeddings with default metadata filters to achieve the desired result.
C. Build a custom retriever in Einstein Studio with product line filters and recency ranking.

Answer: C

NEW QUESTION # 115
Coral Cloud Resorts wants visibility into credit usage associated with testing. Which feature supports this?

A. Agentforce Analytics
B. Testing Center
C. Digital Wallet

Answer: B

Explanation:
The AgentForce Testing Center Guide specifies that all testing activity--including prompt tests, structured batch runs, and evaluation sessions--consumes AI credits, which can be monitored directly through the Testing Center interface. The documentation states: "Testing Center provides visibility into testing performance, outcomes, and credit usage. Administrators can view test credit consumption metrics to understand resource utilization across agents and environments."

NEW QUESTION # 116
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