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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Agentforce Specialist (AI-201) |
| Exam Number: | AI-201 |
| Related Certifications: | Salesforce Certified AI Specialist |
| Passing Score: | 73% |
| Real Exam Qty: | 60-65 |
| Exam Price: | $200 USD |
| Exam Format: | Multiple Choice, Scenario-Based, Multiple Select |
| Exam Duration: | 105 minutes |
| Certificate Validity Period: | 1 year (requires annual maintenance) |
| Available Languages: | English |
| Recommended Training: | Trailhead Agentforce Specialist Certification Prep |
| Exam Registration: | Salesforce Certification Registration Pearson VUE Scheduling |
| Sample Questions: | Salesforce Agentforce-Specialist Sample Questions |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | No formal prerequisites; recommended: 6 months experience with Agentforce or Salesforce AI features |
| Official Syllabus URL: | https://trailhead.salesforce.com/credentials/certification-detail-print/?certificationId=286 |
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NEW QUESTION # 184
Choose 1 option.
Universal Containers (UC) needs to create a custom prompt template that can be called from a Lightning web component.
Which prompt template type should UC create?
Answer: A
Explanation:
The AgentForce Developer Integration Guide specifies that Flex prompt templates are the correct type for custom or embedded integrations, such as invoking a prompt from a Lightning Web Component (LWC).
Flex templates are designed for general-purpose use cases and can be called programmatically via Apex, Flow, or LWC APIs. They offer flexible input and output structures, allowing developers to integrate AgentForce reasoning into custom applications and UI components.
Option A, Field Generation, is used to populate or update Salesforce fields, not for external invocation.
Option B, Sales Email, is specific to generating pre-formatted communication messages and cannot be invoked directly from LWCs.
Therefore, the correct template type for a prompt used within a Lightning Web Component is Option C - Flex, as it is purpose-built for dynamic, reusable, and programmatic use cases.
Reference: AgentForce Developer Guide - "Using Flex Prompt Templates with Lightning Web Components."
NEW QUESTION # 185
Universal Containers has deployed Agentforce to handle customer order tracking, returns, and loyalty support.
The agent needs to balance conversational flexibility for customer inquiries with guaranteed execution of identity verification steps before accessing the account information. The development team is evaluating how to structure the agent's instruction pattern to meet both requirements.
Which statement correctly describes hybrid reasoning in Agentforce Agent Script?
Answer: A
Explanation:
Hybrid reasoning in Agent Script means combining flexible LLM-driven conversation with deterministic procedural control in the same agent logic. This is exactly why option C is correct.
Salesforce describes Agent Script as supporting business-critical logic that executes reliably while allowing conversational elements to remain flexible. The - > syntax marks executable procedural logic, so steps such as identity verification can be enforced before account access. Option A is wrong because hybrid reasoning is not about using multiple LLMs at the same time. Option B is also wrong because hybrid reasoning is a language and execution model, not a separation of capabilities between Canvas View and Script View. The core exam point is deterministic enterprise workflow control plus LLM interpretation.
NEW QUESTION # 186
Universal Containers operates in a regulated industry and has deployed an Agentforce customer service agent handling thousands of interactions per week. The operations team notices that a significant number of conversations are resulting in unexpected escalations, but cannot identify which agent subagents, formerly known as topics, or actions are consistently underperforming or misconfigured. Which Agentforce feature allows the team to cluster interaction patterns, identify performance gaps across sessions, and apply quality scoring to pinpoint where the agent's configuration needs improvement?
Answer: B
Explanation:
Agentforce Optimization is the correct feature because the requirement is not just to inspect one failed conversation; it is to analyze performance patterns across many sessions. Salesforce describes Agent Optimization as a capability used to drill into sessions, analyze quality scores, and identify patterns that improve agent performance. That directly matches the need to find recurring escalation patterns, weak subagents, and misconfigured actions. Agentforce Session Tracing is useful for deep, turn-by-turn investigation of an individual interaction, but it is not the best fit for clustering performance gaps across thousands of conversations. Agentforce Health Monitoring is too generic and does not specifically provide the optimization analysis and quality-scoring workflow described in the question.
NEW QUESTION # 187
During retrieval-augmented generation (RAG) quality testing, an Agentforce Specialist notices that tabular information from a custom Data 360 Document Ingestion Pipeline is losing its context because the data is scattered across multiple separate chunks.
What is the most appropriate approach to resolve this?
Answer: C
Explanation:
The correct answer is A. The problem is not that the retriever lacks enough sources; the problem is that the document parser is breaking structured tabular content into chunks that lose layout context.
Salesforce Data 360 includes parsing and preprocessing options for unstructured content, and the Docling parser is specifically intended for stronger layout understanding, including table-heavy or complex document structures. Option B is wrong because an ensemble retriever searches multiple retrievers or sources; it does not repair poor chunking caused by weak document parsing. Option C is also wrong because keyword-only scoring changes retrieval ranking behavior but does not preserve table relationships during ingestion. The correct fix is upstream: improve parsing before vectorization and indexing so the chunks preserve table context for RAG grounding.
NEW QUESTION # 188
Where should theAgentforce Specialistgo to add/update actions assigned to a copilot?
Answer: A
Explanation:
To add or update actions assigned to a copilot, An Agentforce can manage this through several areas:
* Copilot Actions Page: This is the central location where copilot actions are managed and configured.
* Record Page for the Copilot Action: From the record page, individual copilot actions can be updated or modified.
* Copilot Action Library Tab: This tab serves as a repository where predefined or custom actions for Copilot can be accessed and modified.
These areas provide flexibility in managing and updating the actions assigned to Copilot, ensuring that the AI assistant remains aligned with business requirements and processes.
The other options are incorrect:
* Bmisses the Copilot Action Library, which is crucial for managing actions.
* Cincludes the Copilot Detail page, which isn't the primary place for action management.
References:
* Salesforce Documentation onManaging Copilot Actions
* SalesforceAgentforce SpecialistGuide onCopilot Action Management
NEW QUESTION # 189
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