AI-201软件版，AI-201考試內容

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Prompt Engineering	30%	- Prompt Builder & Template Creation 1. Best practices - Agentforce AI Setup & Configuration 1. Advanced implementation strategies
Topic 2: Reasoning Engine & AI Actions		- Workflow mastery 1. Standard Agent actions 2. Custom Agent actions (Flows) 3. Custom Agent actions (Apex)
Topic 3: Agent Force Concepts	30%	- Data Cloud & Grounding Techniques 1. Real-world applications - Einstein GPT Integration 1. Advanced implementation strategies
Topic 4: Einstein Trust Layer & Security		- Trust Layer & Security Features 1. Enterprise-grade deployment - Data Masking 1. Configuration of privacy data entities

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AI-201考試內容，AI-201題庫分享

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最新的 AI Specialist AI-201 免費考試真題 (Q93-Q98):

問題 #93
In a Knowledge-based data library configuration, what is the primary difference between the identifying fields and the content fields?

A. Identifying fields categorize articles for indexing purposes, while content fields provide a brief summary for display.
B. Identifying fields highlight key terms for relevance scoring, while content fields store the full text of the article for retrieval.
C. Identifying fields help locate the correct Knowledge article, while content fields enrich AI responses with detailed information.

答案：C

解題說明：
In Agentforce, a Knowledge-based data library (e.g., via Salesforce Knowledge or Data Cloud grounding) uses identifying fields and content fields to support AI responses.

問題 #94
Universal Containers is planning a marketing email about products that most closely match a customer's expressed interests. What should An Agentforce recommend to generate this email?

A. Custom sales email template which is grounded with interest and product information
B. Standard email draft with Einstein and choose standard email template
C. Standard email marketing template using Apex or flows for matching interest in products

答案：A

解題說明：
To generate an email about products that closely match a customer's expressed interests, An Agentforce should recommend using a custom sales email template that is grounded with interest and product information. This ensures that the email content is personalized based on the customer's preferences, increasing the relevance of the marketing message.
Using grounding ensures that the generative AI pulls the correct data related to customer interests and product matches, making the email more effective.

問題 #95
Which element in the Omni-Channel Flow should be used to connect the flow with the agent?

A. Decision
B. Route Work Action
C. Assignment

答案：B

解題說明：
UC is integrating an Agentforce agent with Omni-Channel Flow to route work.

問題 #96
Which statement explains why a company might prefer a hybrid search index in Data Cloud for Agentforce?

A. Vector embedding in hybrid search are prefiltered by keyword matches, reducing computational overhead and improving response accuracy.
B. Hybrid search indexes process queries faster than vector search because they eliminate the need for semantic embedding.
C. Hybrid search indexes support both literal keyword matches and semantic recall, useful when queries mix specific terms and intent.

答案：C

解題說明：
According to the AgentForce Data Cloud Search Indexing Guide and RAG Optimization Framework, a hybrid search index combines both keyword-based (lexical) and vector-based (semantic) search capabilities. This dual-mode retrieval enables AgentForce to interpret user intent while still honoring exact keyword matches.
In many enterprise scenarios, queries contain a mixture of specific terms (e.g., "contract ID
54321") and semantic intent (e.g., "renew my subscription"). A purely vector search might overlook exact keywords, while a keyword-only search might miss semantically relevant results.
Hybrid indexing ensures that both types of retrieval are available simultaneously - providing the best balance of precision and contextual understanding.

問題 #97
Coral Cloud Resorts is implementing Agentforce retrieval. Customers sometimes type ambiguous terms (for example, "package" could mean vacation package or baggage). Which retrieval strategy best balances precision and contextual disambiguation?

A. Use semantic search only, which captures intent but may struggle with ambiguous terms when no context is provided.
B. Use keyword search only, which prioritizes exact term matching but risks missing contextual meaning.
C. Use hybrid search, which combines keyword matching for precision with semantic embeddings for context.

答案：C

解題說明：
According to the AgentForce Retrieval Optimization Guide, when handling ambiguous search terms such as "package," which may refer to multiple concepts, the recommended approach is to use hybrid search. The documentation defines hybrid search as: "A combined retrieval method that leverages keyword-based precision and semantic embeddings to capture contextual intent.
This approach ensures high recall while maintaining exact-term precision." This method allows AgentForce to resolve ambiguity by using semantic context to interpret meaning while maintaining keyword-based precision for deterministic matching. The guide further notes: "Hybrid retrieval offers the optimal balance between contextual understanding and exact- term accuracy, especially in multi-domain or ambiguous queries." In contrast, semantic search only may misinterpret terms without adequate context, and keyword search only lacks the contextual reasoning to differentiate between meanings. Thus, Option A aligns with Salesforce's documented best practice for retrieval precision and contextual relevance.

問題 #98
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