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Salesforce AI-201 Exam Syllabus Topics:

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

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Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen (Q165-Q170):

165. Frage
An Agentforce Specialist wants to ensure their custom agent action performs as expected in conversations. What should the Agentforce Specialist focus on when creating action instructions?

A. Write concise agent action instructions and test in Agentforce Builder.
B. Include comprehensive detailed descriptions and perform smoke testing.
C. Ensure the agent action label matches the utterance's intent.

Antwort: A

Begründung:
The AgentForce Action Design Guide emphasizes that concise and clear action instructions are essential for predictable and reliable agent behavior. The documentation states: "Action instructions should be concise, clearly define the purpose of the action, and specify its expected inputs and outputs. Each action must be validated through testing in AgentForce Builder to confirm the LLM interprets and executes it as intended."

166. Frage
Universal Containers (UC) wants to enable its sales reps to explore opportunities that are similar to previously won opportunities by entering the utterance, "Show me other opportunities like this one." How should UC achieve this with Agents?

A. Use the standard Agent action.
B. Create a custom Agent action calling an Apex class.
C. Create a custom Agent action calling a flow.

Antwort: A

Begründung:
Universal Containers can achieve the request to explore similar opportunities by using the standard Copilot action. Agent has built-in actions to handle natural language queries, such as
"Show me other opportunities like this one." The standard action will process the query and return results based on predefined matching criteria like opportunity details and past Closed Won deals.
This approach avoids the need to create custom flows or Apex classes, leveraging out-of-the-box functionality.

167. Frage
Universal Containers built a Field Generation prompt template that worked for many records, but users are reporting random failures with token limit errors. What is the cause of the random nature of this error?

A. The template type needs to be switched to Flex to accommodate the variable amount of tokens generated by the prompt grounding.
B. The number of tokens generated by the dynamic nature of the prompt template will vary by record.
C. The number of tokens that can be processed by the LLM varies with total user demand.

Antwort: B

Begründung:
In Salesforce Agentforce, prompt templates are used to generate dynamic responses or field values by leveraging an LLM, often with grounding data from Salesforce records or external sources. The scenario describes a Field Generation prompt template that fails intermittently with token limit errors, indicating that the issue is tied to exceeding the LLM's token capacity (e.g., input + output tokens). The random nature of these failures suggests variability in the token count across different records, which is directly addressed by Option B.
Prompt templates in Agentforce can be dynamic, meaning they pull in record-specific data (e.g., customer names, descriptions, or other fields) to generate output. Since the data varies by record-some records might have short text fields while others have lengthy ones-the total number of tokens (words, characters, or subword units processed by the LLM) fluctuates. When the token count exceeds the LLM's limit (e.g., 4,096 tokens for some models), the process fails, but this only happens for records with higher token-generating data, explaining the randomness.

168. Frage
Universal Containers has a requirement to provide a sales summary for its sales reps who are using Employee Agents, but they are not happy with the default answer. Which best practice should the AgentForce Specialist recommend?

A. Create a Knowledge Answer custom prompt template.
B. Update the standard record summary action.
C. Create a Record Summary custom prompt template.

Antwort: C

Begründung:
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Prompt Customization and Template Development Guide, when an organization wants to modify or enhance how structured data (like Salesforce records) is summarized or presented by an agent, the correct approach is to create a Record Summary custom prompt template.
Record Summary templates allow specialists to tailor how the agent interprets and communicates record information - such as opportunities, accounts, or sales summaries - ensuring the output aligns with company-specific terminology, tone, and data needs.

169. Frage
Coral Cloud Resorts wants to handle frequent customer misspellings of package names in queries. Which approach should the Agentforce Specialist implement?

A. Keyword search
B. Vector search
C. Hybrid search

Antwort: B

Begründung:
The AgentForce Retrieval and Semantic Search Guide explains that vector search (semantic search) is best suited for handling spelling variations, synonyms, and phonetically similar queries.
The documentation states:
"Vector search enables fuzzy matching through semantic embeddings, allowing retrieval of relevant documents even when user queries contain typos, abbreviations, or informal phrasing."

170. Frage
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