AI-201考試題庫，AI-201考題套裝

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Salesforce AI-201 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Einstein Trust Layer & Security- Trust Layer & Security Features
  • 1. Enterprise-grade deployment
- Data Masking
  • 1. Configuration of privacy data entities
Topic 2: Reasoning Engine & AI Actions- Workflow mastery
  • 1. Custom Agent actions (Flows)
  • 2. Custom Agent actions (Apex)
  • 3. Standard Agent actions
Topic 3: Agent Force Concepts30%- Data Cloud & Grounding Techniques
  • 1. Real-world applications
- Einstein GPT Integration
  • 1. Advanced implementation strategies
Topic 4: Prompt Engineering30%- Agentforce AI Setup & Configuration
  • 1. Advanced implementation strategies
- Prompt Builder & Template Creation
  • 1. Best practices

>> AI-201考試題庫 <<

最新更新的AI-201考試題庫 & AI-201考題套裝：Salesforce Certified Agentforce Specialist

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最新的 AI Specialist AI-201 免費考試真題 (Q278-Q283):

問題 #278
An Agentforce configured Data Masking within the Einstein Trust Layer. How should the Agentforce Specialist begin validating that the correct fields are being masked?

答案：A

解題說明：
To begin validating that the correct fields are being masked in Einstein Trust Layer, the Agentforce Specialist should request the Einstein Generative AI Audit Data from the Security section of the Salesforce Setup menu. This audit data allows the Agentforce Specialist to see how data is being processed, including which fields are being masked, providing transparency and validation that the configuration is working as expected.


問題 #279
Universal Containers Is Interested In Improving the sales operation efficiency by analyzing their data using Al-powered predictions in Einstein Studio. Which use case works for this scenario?

答案：C

解題說明：
For improving sales operations efficiency, Einstein Studio is ideal for creating AI-powered models that can predict outcomes based on data. One of the most valuable use cases is predicting customer lifetime value, which helps sales teams focus on high-value accounts and make more informed decisions. Customer lifetime value (CLV) predictions can optimize strategies around customer retention, cross-selling, and long-term engagement.


問題 #280
A company wants an Agentforce agent to update Case records and execute Flows on behalf of support agents. Which security model ensures the agent does NOT exceed the user's data access?

答案：A

解題說明：
Running the agent in user context ensures it respects the user's permissions, sharing rules, and field-level security.


問題 #281
After creating a foundation model in Einstein Studio, which hyperparameter should An Agentforce use to adjust the balance between consistency and randomness of a response?

答案：C

解題說明：
The Temperature hyperparameter controls the randomness of model outputs:
Low Temperature (e.g., 0.2): More deterministic, consistent responses.
High Temperature (e.g., 1.0): More creative, varied responses.


問題 #282
When configuring a prompt template, an Agentforce Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response. Which information does the Resolution text provide?

答案：B

解題說明：
In Salesforce Agentforce, when previewing a prompt template, the interface displays two outputs:
Resolution and Response. These terms relate to how the prompt is processed and evaluated, particularly in the context of the Einstein Trust Layer, which ensures AI safety, compliance, and auditability. The Resolution text specifically refers to the full text that is sent to the Trust Layer for processing, monitoring, and governance (Option A). This includes the constructed prompt (with grounding data, instructions, and variables) as it's submitted to the large language model (LLM), along with any Trust Layer interventions (e.g., masking, filtering) applied before or after LLM processing. It's a comprehensive view of the input/output flow that the Trust Layer captures for auditing and compliance purposes.


問題 #283
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