Salesforce AI-201 Actual Dumps, Exam AI-201 Blueprint

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Salesforce AI-201 Exam Syllabus Topics:

Section	Weight	Objectives
AI Agents	35%	- Agent types: Service, Sales, Employee - Channel integration: digital experience, email, Slack - Topics and actions configuration - Deterministic controls: filters and variables - Agent architecture and reasoning engine - Agent User security and permissions
Data Cloud for Agentforce	20%	- Improving response accuracy with data grounding - Unstructured data processing: chunking, indexing - Retrievers and search types: keyword, vector, hybrid - Agentforce Data Library types
Development Lifecycle	15%	- Deployment: sandbox to production - Testing agents in Testing Center - Version control and maintenance - Monitoring, adoption and optimization
Prompt Engineering	20%	- Prompt management and user roles - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt Builder usage and use cases
Multi-Agent Interoperability	5%	- Agent API usage scenarios - Model Context Protocol (MCP) - Agent-to-agent communication

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Salesforce Certified Agentforce Specialist Sample Questions (Q154-Q159):

NEW QUESTION # 154
Universal Containers (UC) is rolling out an AI-powered support assistant to help customer service agents quickly retrieve relevant troubleshooting steps and policy guidelines. The assistant relies on a search index in Data Cloud that contains product manuals, policy documents, and past case resolutions. During testing, UC notices that agents are receiving too many irrelevant results from older product versions that no longer apply. How should UC address this issue?

A. Use the default retriever, as it already searches the entire search index and provides broad coverage.
B. Modify the search index to only store documents from the last year and remove older records.
C. Create a custom retriever in Einstein Studio, and apply filters for publication date and product line.

Answer: A

Explanation:
UC's support assistant uses a Data Cloud search index for grounding, but irrelevant results from outdated product versions are an issue.

NEW QUESTION # 155
What does it mean when a prompt template version is described as immutable?

A. Only the latest version of a template can be activated.
B. Prompt template version is activated; no further changes can be saved to that version.
C. Every modification on a template will be saved as a new version automatically.

Answer: B

Explanation:
When a prompt template version is immutable, it means that once the version is activated, it cannot be edited or modified. This ensures consistency in production environments where changes could disrupt workflows.

NEW QUESTION # 156
Universal Containers (UC) is looking to improve its sales team's productivity by providing real- time insights and recommendations during customer interactions. Why should UC consider using Agentforce Sales Agent?

A. To track customer interactions for future analysis
B. To streamline the sales process and increase conversion rates
C. To automate the entire sales process for maximum efficiency

Answer: B

Explanation:
Agentforce Sales Agent provides real-time insights and AI-powered recommendations, which are designed to streamline the sales process and help sales representatives focus on key tasks to increase conversion rates. It offers features like lead scoring, opportunity prioritization, and proactive recommendations, ensuring that sales teams can interact with customers efficiently and close deals faster.

NEW QUESTION # 157
An account manager is preparing for an upcoming customer call and wishes to get a snapshot of key data points from accounts, contacts, leads, and opportunities in Salesforce. Which feature provides this?

A. Sales Insight Summary
B. Work Summaries
C. Sales Summaries

Answer: A

Explanation:
Sales Insight Summary aggregates key data points from multiple Salesforce objects (accounts, contacts, leads, opportunities) into a consolidated view, enabling account managers to quickly access relevant information for customer calls.

NEW QUESTION # 158
How does the AI Retriever function within Data Cloud?

A. It monitors and aggregates data quality metrics across various data pipelines to ensure only high- integrity data is used for strategic decision-making.
B. It performs contextual searches over an indexed repository to quickly fetch the most relevant documents, enabling grounding AI responses with trustworthy, verifiable information.
C. It automatically extracts and reformats raw data from diverse sources into standardized datasets for use in historical trend analysis and forecasting.

Answer: B

Explanation:
The AI Retriever is a key component in Salesforce Data Cloud, designed to support AI-driven processes like Agentforce by retrieving relevant data. Let's evaluate each option based on its documented functionality.

NEW QUESTION # 159
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