HOT Actual AI-201 Tests - High-quality Salesforce AI-201 New Practice Materials: Salesforce Certified Agentforce Specialist

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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
Prompt Engineering	30%	- Agentforce AI Setup & Configuration 1. Advanced implementation strategies - Prompt Builder & Template Creation 1. Best practices
Reasoning Engine & AI Actions		- Workflow mastery 1. Custom Agent actions (Flows) 2. Standard Agent actions 3. Custom Agent actions (Apex)
Agent Force Concepts	30%	- Data Cloud & Grounding Techniques 1. Real-world applications - Einstein GPT Integration 1. Advanced implementation strategies

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AI-201 New Practice Materials, AI-201 Latest Exam Format

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Salesforce Certified Agentforce Specialist Sample Questions (Q123-Q128):

NEW QUESTION # 123
Coral Cloud Resorts (CCR) wants to configure its agent so that booking actions are only available when a customer's membership tier is "Premium" or "Elite". This business rule must be enforced deterministically. What should CCR implement?

A. Set up custom validation rules on the underlying booking objects to prevent non-eligible customers from completing bookings.
B. Configure topic instructions that clearly state booking actions should only be used for Premium or Elite customers and include examples.
C. Create a context variable mapped to the customer's membership tier field, then add a conditional filter on MembershipTier.

Answer: C

Explanation:
Per the AgentForce Configuration and Control Flow Guide, enforcing deterministic business rules
- such as restricting certain actions based on a data condition-requires using context variables with conditional filters. The guide specifies: "Use context variables mapped to relevant Salesforce fields to store state information. Then apply conditional filters to ensure actions execute only when specific conditions (e.g., membership tier) are met." This ensures the rule is deterministic, meaning the action cannot trigger if the condition is not satisfied.

NEW QUESTION # 124
Universal Containers implements three custom actions to get three distinct types of sales summaries for its users. Users are complaining that they are not getting the right summary based on their utterances. What should the Agentforce Specialist investigate as the root cause?

A. Review the action Instructions to ensure they are unique.
B. Review that the custom action Is assigned to an Agent.
C. Ensure the input and output types are correctly chosen.

Answer: A

Explanation:
The root cause of users receiving incorrect sales summaries lies in non-unique action instructions (Option B). In Einstein Bots, custom actions are triggered based on how well user utterances align with the action instructions defined for each action. If the instructions for the three custom actions overlap or lack specificity, the bot's natural language processing (NLP) cannot reliably distinguish between them, leading to mismatched responses.
Steps to Investigate:
Review Action Instructions: Ensure each custom action has distinct, context-specific instructions.
For example:
Action 1: "Summarize quarterly sales by region."
Action 2: "Generate a product-wise sales breakdown for the current fiscal year." Action 3: "Provide a comparison of sales performance between online and in-store channels." Ambiguous or overlapping instructions (e.g., "Get sales summary") cause confusion.
Test Utterance Matching: Use Einstein Bot's training tools to validate if user utterances map to the correct action. Overlap indicates instruction ambiguity.
Refine Instructions: Incorporate keywords or phrases unique to each sales summary type to improve intent detection.

NEW QUESTION # 125
Universal Containers (UC) needs to save agents time with AI-generated case summaries. UC has implemented the Work Summary feature. What does Einstein consider when generating a summary?

A. Generation is grounded with conversation context and Knowledge articles.
B. Generation is grounded with conversation context, Knowledge articles, and cases.
C. Generation is grounded with existing conversation context only.

Answer: B

Explanation:
When generating a Work Summary, Einstein leverages multiple sources of information to provide a comprehensive and accurate case summary for agents.
Conversation Context:
Einstein analyzes the details of the customer interaction, including chat or email threads, to extract relevant information for the summary.
Knowledge Articles:
It considers linked Knowledge Articles or articles referred to during the case resolution process, ensuring the summary incorporates accurate resolutions or additional resources provided to the customer.
Cases:
Einstein also examines historical cases and related case records to ground the summary in context from past resolutions or interactions.

NEW QUESTION # 126
Universal Containers (UC) needs to create a prompt template that provides a detailed product description based on the latest product data. The description will be used in marketing materials to ensure consistency and accuracy. Which prompt template type should UC use?

A. Sales Email
B. Record Summary
C. Field Generation

Answer: C

NEW QUESTION # 127
Universal Containers (UC) is experimenting with using public Generative AI models and is familiar with the language required to get the information it needs. However, it can be time-consuming for both UC's sales and service reps to type in the prompt to get the information they need, and ensure prompt consistency. Which Salesforce feature should the company use to address these concerns?

A. Einstein Recommendation Builder.
B. Agent Builder and Action: Query Records.
C. Einstein Prompt Builder and Prompt Templates.

Answer: C

Explanation:
UC wants to streamline the use of Generative AI by reducing the time reps spend typing prompts and ensuring consistency, leveraging their existing prompt knowledge.

NEW QUESTION # 128
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