AI-201 Testing Engine - AI-201 Online Prüfungen

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
Data Cloud & Grounding	20%	- Data integration for AI agents 1. Using Data Cloud for retrieval augmentation 2. Connecting external data sources
Testing, Deployment & Lifecycle	15%	- Agent lifecycle management 1. Testing and validation strategies 2. Sandbox to production deployment
AI Agents	35%	- Agent behavior configuration 1. Agent reasoning engine concepts 2. Filters and variables for deterministic behavior - Agent setup and orchestration 1. Standard and custom agent actions 2. Standard and custom topics
Governance & Observability	10%	- AI governance 1. Monitoring agent behavior 2. Trust layer and compliance concepts
Prompt Engineering	20%	- Prompt Builder usage 1. Field generation and flex templates 2. Prompt templates and configuration - Grounding techniques 1. Data grounding for reducing hallucinations 2. Best practices for prompt design

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Salesforce Certified Agentforce Specialist AI-201 Prüfungsfragen mit Lösungen (Q154-Q159):

154. Frage
Universal Containers (UC) is expanding its Agentforce for Service capabilities to include case management. For security purposes, UC wants the agent to verify a customer's identity before providing any case-related information. The verification must be deterministic-ensuring that no case details are shared unless identity verification has been successfully completed. Which approach best meets this requirement?

A. Create a variable to store the verification status, set it as output from a "Verify Identity" action, and apply a filter so any case-related actions only run when the variable confirms verification.
B. Use keywords such as "Always" and "Never" to write clear logic in Topic Instructions to verify user identity before providing any case information,
C. Store the verification status in a custom variable and set a global instruction that the agent should check this variable before sharing case information.

Antwort: A

Begründung:
The AgentForce for Service Implementation Guide clearly outlines that when an agent must verify identity before performing any case-related operations, the correct method is to use a variable- based control flow. The documentation specifies: "To maintain deterministic and secure behavior, define a variable (for example, `isVerified') that stores the result of an identity verification step.
Use this variable as a conditional filter in the topic flow to ensure that case-related actions execute only when the variable equals `true'." This ensures that no sensitive or case-specific data is shared unless verification is explicitly confirmed. It provides a deterministic safeguard, as the system only proceeds with case data actions after the verification variable confirms completion.

155. Frage
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to create a personalized introduction email. After creating a proposed draft email, which predefined adjustment should UC choose to revise the draft with a more casual tone?

A. Make Less Formal
B. Optimize for Clarity
C. Enhance Friendliness

Antwort: A

Begründung:
When Universal Containers uses the Draft with Einstein feature in Sales Cloud to create a personalized email, the predefined adjustment to Make Less Formal is the correct option to revise the draft with a more casual tone. This option adjusts the wording of the draft to sound less formal, making the communication more approachable while still maintaining professionalism.
Enhance Friendliness would make the tone more positive, but not necessarily more casual.
Optimize for Clarity focuses on making the draft clearer but doesn't adjust the tone.

156. Frage
An Agentforce agent occasionally provides responses that reference outdated Case information.
What is the MOST effective way to reduce this issue?

A. Improve data grounding using live Salesforce records
B. Rely only on static instructions
C. Disable the Einstein Trust Layer
D. Increase prompt temperature

Antwort: A

Begründung:
Grounding responses in live Salesforce CRM data ensures the agent uses current and accurate information.

157. Frage
Universal Containers needs to bring individual customer warranties from an external system into Data Cloud. They want Agentforce to return warranty-related responses only for accounts whose warranty status is active. Which search approach should the Agentforce Specialist configure to ensure warranty-related information is retrieved correctly?

A. Use Hybrid Search and apply pre-filtering in a new custom retriever for matching accounts and where the WarrantyStatus = Active field,
B. Depend on Agentforce instructions to enforce warranty constraints and include only WarrantyStatus = Active results.
C. Store the account's warranty status in an Agentforce custom variable to dynamically filter warranties during retrieval.

Antwort: A

Begründung:
The AgentForce Retrieval Configuration Guide outlines that when external data must be filtered by specific criteria-such as WarrantyStatus = Active-the correct approach is to use Hybrid Search with pre-filtering logic defined in a custom retriever. The documentation specifies: "Hybrid search allows combining keyword precision and semantic context. When used with a custom retriever, administrators can pre-filter data on metadata fields (e.g., WarrantyStatus) to ensure that only eligible records are returned."

158. Frage
For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?

A. Indexes the uploaded files in a location specified by the user
B. Indexes the uploaded files into Data Cloud
C. Indexes the uploaded files in Salesforce File Storage

Antwort: B

Begründung:
In Salesforce Agentforce, a Data Library is a feature that allows organizations to upload files (e.g., PDFs, documents) to be used as grounding data for AI-driven agents. Once the Data Library is created and configured, the uploaded files are indexed to make their content searchable and usable by the AI (e.g., for retrieval-augmented generation or prompt enhancement). The key question is where this indexing occurs. Salesforce Agentforce integrates tightly with Data Cloud, a unified data platform that includes a vector database optimized for storing and indexing unstructured data like uploaded files. When a Data Library is set up, the files are ingested and indexed into Data Cloud's vector database, enabling the AI to efficiently retrieve relevant information from them during conversations or actions.

159. Frage
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