AI-201예상문제, AI-201시험패스가능한인증덤프

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Salesforce AI-201 Exam Syllabus Topics:

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

>> AI-201예상문제 <<

AI-201예상문제 최신 덤프로 시험패스하기

학원다니면서 많은 지식을 장악한후Salesforce AI-201시험보시는것도 좋지만 회사다니느랴 야근하랴 시간이 부족한 분들은Salesforce AI-201덤프만 있으면 엄청난 학원수강료 필요없이 20~30시간의 독학만으로도Salesforce AI-201시험패스가 충분합니다. 또한 취업생분들은 우선 자격증으로 취업문을 두드리고 일하면서 실무를 익혀가는방법도 좋지 않을가 생각됩니다.

최신 AI Specialist AI-201 무료샘플문제 (Q206-Q211):

질문 # 206
When a verified customer in a help center says, "I want to upgrade my service plan," an AI agent needs to complete the following tasks:
- Verify identity and entitlement.
- Create a new quote.
- Calculate a prorated upgrade amount.
- Escalate to an Account Executive (AE) only if the reorder exceeds USD
25,000.
Which type of agent should an AgentForce Specialist build to support this use case?

정답：B

설명：
Comprehensive and Detailed Explanation From Exact Extract of AgentForce Documents:
According to the AgentForce Specialist Implementation Guide and Agent Type Configuration Reference, this scenario represents a revenue-generating interaction where the AI agent is directly handling an upsell process. The tasks include verifying the customer's entitlement, generating a new quote, and calculating a prorated amount -- all of which align with the Sales Agent configuration type in AgentForce.
The Sales Agent is specifically designed to manage lead conversion, quoting, upselling, renewals, and escalation logic for higher-value opportunities. AgentForce documentation emphasizes that when an interaction involves quote generation, pricing calculations, or escalations to an Account Executive for large deal handling, the correct design is a Sales Agent.


질문 # 207
In Model Playground, which hyperparameters of an existing Salesforce-enabled foundational model can An Agentforce change?

정답：B

설명：
In Model Playground, An Agentforce working with a Salesforce-enabled foundational model has control over specific hyperparameters that can directly affect the behavior of the generative model:
Temperature: Controls the randomness of predictions. A higher temperature leads to more diverse outputs, while a lower temperature makes the model's responses more focused and deterministic.
Frequency Penalty: Reduces the likelihood of the model repeating the same phrases or outputs frequently.
Presence Penalty: Encourages the model to introduce new topics in its responses, rather than sticking with familiar, previously mentioned content.
These hyperparameters are adjustable to fine-tune the model's responses, ensuring that it meets the desired behavior and use case requirements. Salesforce documentation confirms that these three are the key tunable hyperparameters in the Model Playground.
For more details, refer to Salesforce AI Model Playground guidance from Salesforce's official documentation on foundational model adjustments.


질문 # 208
Universal Containers' sales team engages in numerous video sales calls with prospects across the nation. Sales management wants an easy way to understand key information such as deal terms or customer sentiments. Which Einstein Generative AI feature should An Agentforce recommend for this request?

정답：B

설명：
Einstein Conversation Insights analyzes sales calls (including video and voice) to capture key moments, deal terms, competitor mentions, and customer sentiment. It helps sales management quickly understand what was discussed without manually reviewing the entire call.This feature ensures actionable insights are delivered directly into the Salesforce CRM, allowing sales managers to gain a concise overview without manually reviewing long recordings.


질문 # 209
A business stakeholder wants to use Al to generate a summary based on Data Cloud data. Which method(s) should the stakeholder use to access Data Cloud data from Prompt Builder?

정답：A

설명：
The Prompt Builder and Data Cloud Integration Guide explains that Data Cloud information can be accessed directly through Data Cloud related lists or prompt-initiated flows, which fetch relevant data dynamically. The documentation states: "Prompt Builder supports retrieving Data Cloud data using related lists for contextual grounding or invoking flows that query Data Cloud objects at runtime. This enables AI prompts to generate summaries, recommendations, or insights directly from unified customer profiles."


질문 # 210
Universal Containers has grounded a prompt template with a related list. During user acceptance testing (UAT), users are not getting the correct responses. What is causing this issue?

정답：A

설명：
UC has grounded a prompt template with a related list, but the responses are incorrect during UAT. Grounding with related lists in Agentforce allows the AI to access data from child records linked to a parent object.


질문 # 211
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