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[General] 100% Pass 2026 Salesforce Newest AI-201 Valid Test Blueprint

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【General】 100% Pass 2026 Salesforce Newest AI-201 Valid Test Blueprint

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Salesforce Certified Agentforce Specialist Sample Questions (Q94-Q99):NEW QUESTION # 94
Universal Containers deploys a new Agentforce Service Agent into the company's website but is getting feedback that the Service Agent is not providing answers to customer questions that are found in the company's Salesforce Knowledge articles. What is the likely issue?
  • A. The Agentforce Service Agent user needs to be created under the standard Agent Knowledge profile.
  • B. The Agentforce Service Agent user was not given the Allow View Knowledge permission set.
  • C. The Agentforce Service Agent user is not assigned the correct Agent Type License.
Answer: B
Explanation:
According to the AgentForce Knowledge Integration and Access Configuration Guide, a Service Agent retrieves and grounds its responses using data from Salesforce Knowledge when the correct permissions are assigned. If customers report that the agent cannot access or provide answers from Knowledge articles, the most common root cause is that the AgentForce Service Agent user lacks the "Allow View Knowledge" permission.
This permission enables the agent to retrieve and read published articles from Salesforce Knowledge for grounding responses. Without it, the agent cannot access the content repository, resulting in incomplete or generic answers.

NEW QUESTION # 95
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. Agent Builder and Action: Query Records.
  • B. Einstein Prompt Builder and Prompt Templates.
  • C. Einstein Recommendation Builder.
Answer: B
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 # 96
After configuring and saving a Salesforce Agentforce Data Library (regardless of the data source), which components are automatically created and available in Data Cloud?
  • A. A data connector, an analytics dashboard, and a workflow rule
  • B. A data stream, a search index, and a retriever
  • C. A data pipeline, an indexing engine, and a query processor
Answer: B
Explanation:
Why is "A data stream, a search index, and a retriever" the correct answer?
When a Salesforce Agentforce Data Library is configured and saved, it automatically creates three essential components in Data Cloud to facilitate AI-driven search and retrieval.
Key Components Created in Data Cloud:
Data Stream
This acts as the pipeline that brings data into Data Cloud.
It enables real-time data ingestion from sources such as Salesforce records, PDFs, or external databases.
Search Index
After ingestion, data is indexed for efficient search and retrieval.
This allows AI models to perform structured queries and retrieve relevant data faster.
Retriever
The retriever is an AI-powered search mechanism that uses the search index to fetch the most relevant data.
It ensures that AI-generated responses are grounded in structured, reliable data.

NEW QUESTION # 97
Coral Cloud Resorts is about to start testing its concierge agent with guests. Which metrics should be captured to monitor the performance, correctness, and user experience?
  • A. Response performance, tone, and CSATs
  • B. Response times, accuracy and relevance of answers, and resolution success
  • C. Agent performance, token usage, and conversation duration
Answer: B
Explanation:
According to the AgentForce Monitoring and Evaluation Framework, the three key dimensions for measuring AI agent quality are performance, correctness, and user satisfaction. To accurately monitor these, organizations should track:
Response times (to assess system and model latency),
Accuracy and relevance of answers (to measure the grounding and reasoning quality), and Resolution success (to confirm task completion or problem-solving effectiveness).
These metrics provide a balanced evaluation of both technical efficiency and user experience.

NEW QUESTION # 98
How is Data Cloud leveraged by the Answer Questions with Knowledge action in Agentforce?
  • A. Data Cloud stores and manages the Indexed Knowledge articles.
  • B. Data Cloud is not required; the articles can be accessed directly from the CRM by the agent.
  • C. Data Cloud provides the real-time data streams that update the Knowledge articles.
Answer: A
Explanation:
How Does Data Cloud Support "Answer Questions with Knowledge" in Agentforce?
The Answer Questions with Knowledge action in Agentforce leverages Salesforce Data Cloud to store, manage, and index Knowledge articles used for AI-powered responses.
Data Cloud as the Central Storage for Knowledge Articles
Indexed Knowledge articles are stored and retrieved in real-time from Data Cloud.
The AI system queries Data Cloud to fetch relevant articles when a service agent or customer needs an answer.
Ensuring Up-to-Date Responses
Data Cloud continuously updates Knowledge articles based on new insights, user interactions, and feedback.
The AI can pull the latest, most relevant information from the Knowledge base.
Enhancing AI-Driven Customer Service
AI-generated responses are grounded in real customer service interactions.
Service agents benefit from fast, context-aware answers, improving resolution times and customer satisfaction.

NEW QUESTION # 99
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