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Salesforce Agentforce Interview Questions — Complete Bank, Basic to Advanced (Summer '26)
A comprehensive Agentforce interview question bank for Salesforce professionals, current to Summer '26 and the Agentforce 360 platform. Built from real 2026 interview trends: agents vs chatbots, Subagents and Actions, the Atlas Reasoning Engine and ReAct loop, the Einstein Trust Layer prompt and response journeys, dynamic grounding and RAG, Apex InvocableMethod actions, testing, channels, security and the latest release features. Three levels, full explanations, official Salesforce doc links, progress saved on your device.
This is a comprehensive Agentforce interview question bank, organised from fundamentals to advanced architecture and built from current 2026 interview trends — current to the Summer ‘26 release and the Agentforce 360 platform. Work the levels in the recommended order: Basic establishes what Agentforce is, the building blocks and current terminology; Intermediate covers subagent classification, actions, grounding, the Trust Layer journeys and testing; Advanced moves into Agent Script hybrid reasoning, Apex action design, security context, the reasoning engine internals and the latest release features that distinguish senior candidates.
Every question explains the correct answer and why each distractor is wrong, and most include a link to the official Salesforce documentation so you can read deeper. Progress and best scores are saved on this device.
A note on currency: Agentforce changes fast. This bank uses current terminology — Subagents (formerly Topics), Data 360 (formerly Data Cloud), and the Agentforce 360 platform — and reflects the Spring ‘26 GA of Agent Script and the new Agentforce Builder. Some release features are Beta rather than GA (for example, Multi-Agent Orchestration), so always confirm Beta-versus-GA status and exact behaviour against the official Summer ‘26 release notes for your org.
Frequently asked questions
What Agentforce topics are most asked in Salesforce interviews in 2026?
The staples are the difference between an agent and a chatbot or copilot, Subagents (formerly Topics) and Actions, the Atlas Reasoning Engine and the ReAct loop, dynamic grounding and RAG, the Einstein Trust Layer prompt and response journeys, and giving an agent custom capabilities with Apex InvocableMethod or Flow actions. Current terminology and release status are tested heavily.
What is the difference between an Agentforce agent and a chatbot?
An Einstein Bot follows pre-scripted dialog paths and fails when users go off-script. An Agentforce agent uses the Atlas Reasoning Engine to interpret intent and dynamically choose which actions to use and in what order. You tell a bot exactly what to do; you teach an agent what it can do and it reasons out the rest.
What was renamed in the Agentforce 360 rebrand?
At Dreamforce 2025, Data Cloud was renamed Data 360 under the Agentforce 360 platform umbrella, and Topics were renamed Subagents in 2026. For interviews, use the current terms (Subagent, Data 360) and recognise the former ones, since some orgs still run the legacy builder.
What does the Einstein Trust Layer do?
It secures generative AI through a Prompt Journey (secure data retrieval, dynamic grounding, data masking, prompt defense, zero data retention) and a Response Journey (toxicity detection, data demasking, feedback framework, audit trail), so prompts and responses are handled safely and grounded in data the user is allowed to see.
How do you give an Agentforce agent a custom capability?
Create a custom Action from Apex (a static method annotated with InvocableMethod), a Flow, a prompt template, or an API. The action's label and description are critical because the Atlas Reasoning Engine uses them to decide when to trigger the action based on user intent.