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| Certification Vendor: | Salesforce |
|---|---|
| Exam Name: | Salesforce Certified Agentforce Specialist (AI-201) |
| Exam Number: | AI-201 |
| Related Certifications: | Salesforce Platform App Builder Salesforce Platform Administrator Salesforce AI Associate (retired) Salesforce AI Specialist (retired) |
| Passing Score: | 72%-73% |
| Exam Format: | Scenario-based Questions, Multiple Select, Multiple Choice |
| Exam Duration: | 105 minutes |
| Real Exam Qty: | 60 multiple-choice questions + up to 5 unscored questions |
| Exam Price: | USD 200 |
| Available Languages: | English, Japanese, French |
| Recommended Training: | Salesforce Trailhead Agentforce Learning Paths Agentforce Specialist Exam Prep |
| Exam Registration: | Salesforce Certification Registration Certification Exam Guide |
| Sample Questions: | Salesforce Agentforce-Specialist Sample Questions |
| Exam Way: | Online proctored or onsite testing center |
| Pre Condition: | None |
| Official Syllabus URL: | https://help.salesforce.com/s/articleView?id=005298924&type=1 |
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NEW QUESTION # 326
Choose 1 option.
Universal Containers (UC) wants to ensure its compliance team can retrieve exact matches of policy clause numbers from a structured legal document library.
Which search type should UC implement?
Answer: B
Explanation:
According to the AgentForce Search Optimization Guide, when the use case requires retrieving exact matches (such as policy clause numbers, legal identifiers, or invoice IDs) from structured data, the recommended approach is to use keyword search. The documentation specifies: "Keyword search ensures deterministic retrieval of exact term matches from structured fields, preserving precision for identifiers, numeric values, and code references." Semantic search (Option C) uses contextual understanding and synonym expansion, which may yield near matches but not exact ones. Hybrid search (Option B) combines both semantic and keyword results for general knowledge retrieval, but it introduces probabilistic ranking-not suitable for exact legal or compliance queries.
Therefore, for the compliance use case where exact clause number matching is required, keyword search guarantees accuracy, speed, and compliance integrity.
References (AgentForce Documents / Study Guide):
AgentForce Search and Retrieval Guide: "Choosing Between Keyword, Semantic, and Hybrid Search" AgentForce Compliance and Legal Data Search Best Practices AgentForce Study Guide: "Optimizing Structured Data Search for Exact Matches"
NEW QUESTION # 327
Universal Containers is very concerned about security compliance and wants to understand:
Which prompt text is sent to the large language model (LLM)
* How it is masked
* The masked response
What should theAgentforce Specialistrecommend?
Answer: B
Explanation:
To addresssecurity complianceconcerns and provide visibility into theprompt text sent to the LLM, how it ismasked, and themasked response, theAgentforce Specialistshould recommend enabling theaudit trail in the Einstein Trust Layer. This feature captures and logs the prompts sent to the large language model (LLM) along with the masking of sensitive information and the AI's response. This audit trail ensures full transparency and compliance with security requirements.
* Option A (Einstein Shield Event logs)is focused on system events rather than specific AI prompt data.
* Option B (debug logs)would not provide the necessary insight into AI prompt masking or responses.
For further details, refer toSalesforce's Einstein Trust Layer documentationabout auditing and security measures.
NEW QUESTION # 328
An Al Specialist is tasked with configuring a generative model to create personalized sales emails using customer data stored in Salesforce. The AI Specialist has already fine-tuned a large language model (LLM) on the OpenAI platform. Security and data privacy are critical concerns for the client.
How should theAgentforce Specialistintegrate the custom LLM into Salesforce?
Answer: A
Explanation:
Since security and data privacy are critical, the best option for theAgentforce Specialistis to integrate the fine- tunedLLM (Large Language Model)into Salesforce by adding it toEinstein Studio Model Builder.Einstein Studioallows organizations to bring their own AI models (BYOM), ensuring the model is securely managed within Salesforce's environment, adhering to data privacy standards.
* Option A(embedding via iFrame) is less secure and doesn't integrate deeply with Salesforce's data and security models.
* Option C(making callouts to OpenAI) raises concerns about data privacy, as sensitive Salesforce data would be sent to an external system.
Einstein Studioprovides the most secure and seamless way to integrate custom AI models while maintaining control over data privacy and compliance. More details can be found inSalesforce's Einstein Studio documentationon integrating external models.
NEW QUESTION # 329
Universal Containers (UC) would like to implement the Sales Development Representative (SDR) Agent.
Which channel consideration should UC be aware of while implementing it?
Answer: C
Explanation:
Universal Containers (UC) is implementing the Agentforce Sales Development Representative (SDR) Agent, a prebuilt AI agent designed to qualify leads and schedule meetings. Channel considerations are critical for deployment. Let's evaluate the options based on official Salesforce documentation.
Option A: SDR Agent must be deployed in the Messaging channel.The Agentforce SDR Agent is designed to engage prospects in real-time conversations, primarily through the Messaging channel (e.g., Salesforce Messaging for in-app or web chat). This aligns with its purpose of qualifying leads interactively and scheduling meetings, as outlined in Agentforce for Sales documentation. While it may leverage email for follow-ups, its core deployment and interaction occur via Messaging, making this a key consideration UC must be aware of. This is the correct answer.
Option B: SDR Agent only works in the Email channel.The SDR Agent is not limited to email. While it can send emails (e.g., follow-ups after lead qualification), its primary function-real-time lead engagement- relies on Messaging. Stating it "only works in the Email channel" is inaccurate and contradicts its documented capabilities, making this incorrect.
Option C: SDR Agent must also be deployed on the company website.While the SDR Agent can be embedded on a company website via Messaging (e.g., as a chat widget), this is an implementation choice, not a mandatory requirement. The agent's deployment is channel-specific (Messaging), and website integration is optional, not a "must." This option overstates the requirement, making it incorrect.
Why Option A is Correct:
The SDR Agent's primary deployment in the Messaging channel is a documented consideration for its real- time lead qualification capabilities. UC must plan for this channel to ensure effective implementation, as per Salesforce guidelines.
References:
Salesforce Agentforce Documentation: SDR Agent Setup > Channels - Specifies Messaging as the primary channel.
Trailhead: Explore Agentforce Sales Agents - Notes SDR Agent's Messaging focus for lead engagement.
Salesforce Help: Agentforce for Sales > SDR Agent - Confirms Messaging deployment requirement.
NEW QUESTION # 330
Choose 1 option.
Universal Containers wants to systematically validate agent responses before deployment using a scalable testing process.
Which Testing Center approach should the company implement?
Answer: C
Explanation:
Per the AgentForce Testing Center Operations Guide, the batch testing feature allows organizations to upload structured CSV test templates containing real-world user utterances, expected classifications, and desired outcomes. Once uploaded, these test cases are executed in bulk within the Testing Center to validate agent accuracy, reasoning consistency, and grounding before activation.
This structured approach supports repeatable, scalable testing and ensures objective evaluation across multiple topics and scenarios.
Option B (manual testing) is suitable for early prototyping but not scalable or auditable. Option C (relying on pilot feedback) occurs post-deployment and risks exposing users to unverified behavior.
Therefore, the recommended approach is Option A - Upload a structured CSV test template and run batch test cases in Testing Center.
Reference: AgentForce Testing Guide - "Using CSV Test Templates for Automated Batch Evaluation."
NEW QUESTION # 331
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