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Salesforce Agentforce-Specialist 시험요강:

주제	소개
주제 1	Multi-Agent Interoperability: This domain explains Model Context Protocol (MCP), agent-to-agent communication, and when to use Agent API for system interactions.
주제 2	Prompt Engineering: This section focuses on using Prompt Builder, managing user roles, creating prompt templates with field generation and flex types, selecting grounding techniques, and applying best practices for effective prompts.
주제 3	AI Agents: This domain covers configuring agent behavior, understanding the reasoning engine, selecting topics and actions for agent types, managing Agent User security, choosing appropriate agent types, and connecting agents to various channels.
주제 4	Development Lifecycle: This area addresses testing agents in Testing Center, deploying from sandbox to production, and managing agent adoption and monitoring.
주제 5	Data Cloud for Agentforce: This domain covers Agentforce Data Library types, improving responses with unstructured data through chunking and indexing, understanding retrievers, and selecting keyword, vector, or hybrid search types.

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최신 AI Specialist Agentforce-Specialist 무료샘플문제 (Q92-Q97):

질문 # 92
Choose 1 option.
Universal Containers' administrator has developed a new agent in a sandbox environment and now wants to deploy it to production.
What should the administrator do to deploy an agent?

A. Create an outbound change set with all the necessary agent components, then upload to production.
B. Manually recreate the agent configuration, topics, and actions in production because change sets cannot be used,
C. Export agent components as JSON files and manually import them inte production using the Metadata API.

정답：A

설명：
As per the AgentForce Deployment and Lifecycle Management Guide, AgentForce agents, including their topics, actions, and prompt templates, can be deployed from sandbox to production using Salesforce change sets.
Administrators should create an outbound change set in the sandbox environment that includes all relevant components (Agent definition, prompt templates, topic configurations, flows, and permissions) and then upload it to production for validation and deployment. This process ensures consistency, auditability, and proper dependency tracking between environments.
Option A is incorrect because manual recreation is inefficient and error-prone. Option B is not recommended, as JSON export/import is for development backups and advanced metadata operations, not for standard deployments.
Hence, the correct approach per AgentForce's best practices is Option C - Create an outbound change set and deploy it to production.
Reference: AgentForce Administration Guide - "Deploying Agents and Components via Change Sets."

질문 # 93
Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time-consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency. Which Salesforce feature should the company use to address these concerns?

A. Einstein Recommendation Builder.
B. Einstein Prompt Builder and Prompt Templates.
C. Agent Builder and Action: Query Records.

정답：B

설명：
Comprehensive and Detailed In-Depth Explanation:
UC wants to streamline the use of Generative AI by reducing the time reps spend typing prompts and ensuring consistency, leveraging their existing prompt knowledge. Let's evaluate the options.
* Option A: Agent Builder and Action: Query Records.Agent Builder in Agentforce Studio creates autonomous AI agents with actions like "Query Records" to fetch data. While this could retrieve information, it's designed for agent-driven workflows, not for simplifying manual prompt entry or ensuring consistency across user inputs. This doesn't directly address UC's concerns and is incorrect.
* Option B: Einstein Prompt Builder and Prompt Templates.Einstein Prompt Builder, part of Agentforce Studio, allows users to create reusableprompt templatesthat encapsulate specific instructions and grounding for Generative AI (e.g., using public models via the Atlas Reasoning Engine). UC can predefine prompts based on their known language, saving time for reps by eliminating repetitive typing and ensuring consistency across sales and service teams. Templates can be embedded in flows, Lightning pages, or agent interactions, perfectly addressing UC's needs. This is the correct answer.
* Option C: Einstein Recommendation Builder.Einstein Recommendation Builder generates personalized recommendations (e.g., products, next best actions) using predictive AI, not Generative AI for freeform prompts. It doesn't support custom prompt creation or address time/consistency issues for reps, making it incorrect.
Why Option B is Correct:
Einstein Prompt Builder's prompt templates directly tackle UC's challenges by standardizing prompts and reducing manual effort, leveraging their familiarity with Generative AI language. This is a core feature for such use cases, as per Salesforce documentation.
References:
Salesforce Agentforce Documentation: Einstein Prompt Builder- Details prompt templates for consistency and efficiency.
Trailhead: Build Prompt Templates in Agentforce- Explains time-saving benefits of templates.
Salesforce Help: Generative AI with Prompt Builder- Confirms use for streamlining rep interactions.

질문 # 94
Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
No data is used for LLM training or product improvements by third- party LLMs.
No data is retained outside of UC's Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should theAgentforce Specialisthighlight to UC that addresses these requirements?

A. Zero-Data Retention Policy
B. Prompt Defense
C. Data Masking

정답：A

설명：
Universal Containers (UC)has concerns about data privacy when usingSalesforce's generative AIfeatures, particularly around preventing third-party LLMs from accessing or retaining their data. TheZero-Data Retention Policyin theEinstein Trust Layeris designed to address these concerns by ensuring that:
* No data is used for trainingor product improvements by third-party LLMs.
* No data is retainedoutside of the customer's Salesforce organization.
* The LLM provider cannot access any customer data.
This policy aligns perfectly with UC's requirements for keeping their data safe while leveraging generative AI capabilities.
* Prompt DefenseandData Maskingare also security features, but they do not directly address the concerns related to third-party data access and retention.
References:
* Salesforce Einstein Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm

질문 # 95
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level.
In the score of 1 indicate?

A. The response is the most toxic.
B. The response is the least toxic Einstein Generative AI Toxicity Scoring system, what does a toxicity category.
C. The response is not toxic.

정답：A

설명：
Einstein Trust Layer's Toxicity Scoring categorizes content on a scale of 0 to 1, where 1 indicates the highest level of toxicity (e.g., harmful, biased, or inappropriate language). This scoring helps organizations filter unsafe AI-generated content. A score of 1 triggers mitigation actions, such as blocking the response or alerting administrators.
* A score of 0 would indicate no toxicity (B is incorrect).
* The scoring system does not use "least toxic" as a category (A is misleading).

질문 # 96
Universal Containers (UC) needs to create a prompt template that provides a detailed product description based on the latest product data. The description will be used in marketing materials to ensure consistency and accuracy. Which prompt template type should UC use?

A. Record Summary
B. Sales Email
C. Field Generation

정답：C

설명：
Comprehensive and Detailed Explanation From Exact Extract:
The documentation states that the Field Generation template is designed to populate a specific field on a record with generated output. "Field Generation: uses record context to autofill specific fields on a record page." (Prompt Template Types) In this scenario, UC wants to generate a detailed product description based on product data and populate that description field on the product record (or equivalent). This is exactly a field generation use#case. The Sales Email template is for generating email content, and the Record Summary template is for summarising a record rather than generating a marketing#style description. Therefore the correct answer is C.

질문 # 97
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