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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Data Cloud for Agentforce | 20% | - Agentforce Data Library types - Improving response accuracy with data grounding - Retrievers and search types: keyword, vector, hybrid - Unstructured data processing: chunking, indexing |
| Topic 2: Development Lifecycle | 15% | - Monitoring, adoption and optimization - Version control and maintenance - Testing agents in Testing Center - Deployment: sandbox to production |
| Topic 3: AI Agents | 35% | - Agent types: Service, Sales, Employee - Agent architecture and reasoning engine - Channel integration: digital experience, email, Slack - Topics and actions configuration - Agent User security and permissions - Deterministic controls: filters and variables |
| Topic 4: Prompt Engineering | 20% | - Prompt Builder usage and use cases - Prompt template creation: field generation, flex types - Grounding techniques and best practices - Prompt management and user roles |
| Topic 5: Multi-Agent Interoperability | 5% | - Agent-to-agent communication - Agent API usage scenarios - Model Context Protocol (MCP) |
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162. Frage
Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
Antwort: A
Begründung:
In this scenario, Universal Containers wants to bring data from unified Data Cloud objects into prompt templates, and the best way to do that is through a Data Cloud-triggered flow. This type of flow is specifically designed to trigger actions based on data changes within Salesforce Data Cloud objects.
Data Cloud-triggered flows can listen for changes in the unified data model and automatically bring relevant data into the system, making it available for prompt templates. This ensures that the data is both real-time and up-to-date when used in generative AI contexts.
For more detailed guidance, refer to Salesforce documentation on Data Cloud-triggered flows and Data Cloud integrations with generative AI solutions.
163. Frage
Universal Containers (UC) noticed an increase in customer contract cancellations in the last few months. UC is seeking ways to address this issue by implementing a proactive outreach program to customers before they cancel their contracts and is asking the Salesforce team to provide suggestions. Which use case functionality of Model Builder aligns with UC's request?
Antwort: C
Begründung:
Customer churn prediction is the best use case for Model Builder in addressing Universal Containers' concerns about increasing customer contract cancellations. By implementing a model that predicts customer churn, UC can proactively identify customers who are at risk of canceling and take action to retain them before they decide to terminate their contracts. This functionality allows the business to forecast churn probability based on historical data and initiate timely outreach programs.
164. Frage
Universal Containers is building a digital shopping assistant that needs to dynamically generate product recommendations using information from the company's external product recommendation predictive model through APIs. Which Agentforce capability should make it easier for the agent to consume the external product recommendation tool?
Antwort: B
Begründung:
Per the AgentForce Integration and AI Architecture Guide, the Model Context Protocol (MCP) enables agents to interact dynamically with external predictive or AI models. The documentation states:
"Through MCP, agents can discover, connect, and invoke external models via standardized schema definitions. This allows agents to use third-party tools-like recommendation engines or classifiers-without pre-coding fixed API calls."
165. Frage
Universal Containers (UC) wants to empower its marketing team with Al capabilities that help employees quickly find campaign data, generate creative content, and manage project tasks. The solution should also allow marketers to receive personalized support, surface relevant information, and complete work directly in Salesforce. Which Al solution should UC implement?
Antwort: C
Begründung:
According to the AgentForce Solutions Overview and Employee Agent documentation, the Employee Agent is designed to empower internal teams, such as marketing, sales, HR, and operations, by providing AI-driven assistance within Salesforce. The guide explains: "Employee Agents help internal users find information, automate tasks, generate content, and manage projects directly in Salesforce. They surface personalized insights, support productivity, and leverage enterprise knowledge sources." In the given scenario, the marketing team requires capabilities for content creation, data lookup, and task management-all within Salesforce. This exactly matches the described functionality of an Employee Agent.
166. Frage
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?
Antwort: C
Begründung:
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.
167. Frage
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