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| Section | Weight | Objectives |
|---|---|---|
| Data Cloud for Agentforce | 20% | - Chunking, indexing and retrieval methods - Data Library and unstructured data processing - Vector, keyword and hybrid search |
| Agent Development Lifecycle | 15% | - Sandbox to production deployment - Monitoring, adoption and governance - Testing and debugging in Testing Center |
| AI Agents and Agentforce Concepts | 35% | - Agent security and user management - Topics, actions, and reasoning engine - Agent types: Employee, Service, Sales - Channel integration and deployment |
| Multi-Agent Interoperability | 10% | - Model Context Protocol (MCP) - Agent API usage and integration - Agent-to-agent communication |
| Prompt Engineering | 20% | - Grounding techniques and context management - Prompt best practices and optimization - Prompt Builder and template creation |
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NEW QUESTION # 353
Choose 1 option.
Universal Containers (UC) wants to ensure its compliance team can retrieve exact matches of policy clause numbers from a structured legal document library.
Which search type should UC implement?
Answer: C
Explanation:
According to the AgentForce Search Optimization Guide, when the use case requires retrieving exact matches (such as policy clause numbers, legal identifiers, or invoice IDs) from structured data, the recommended approach is to use keyword search. The documentation specifies: "Keyword search ensures deterministic retrieval of exact term matches from structured fields, preserving precision for identifiers, numeric values, and code references." Semantic search (Option C) uses contextual understanding and synonym expansion, which may yield near matches but not exact ones. Hybrid search (Option B) combines both semantic and keyword results for general knowledge retrieval, but it introduces probabilistic ranking-not suitable for exact legal or compliance queries.
Therefore, for the compliance use case where exact clause number matching is required, keyword search guarantees accuracy, speed, and compliance integrity.
References (AgentForce Documents / Study Guide):
* AgentForce Search and Retrieval Guide: "Choosing Between Keyword, Semantic, and Hybrid Search"
* AgentForce Compliance and Legal Data Search Best Practices
* AgentForce Study Guide: "Optimizing Structured Data Search for Exact Matches"
NEW QUESTION # 354
An Agentforce at Universal Containers is trying to set up a new Field Generation prompt template. They take the following steps.
1. Create a new Field Generation prompt template.
2. Choose Case as the object type.
3. Select the custom field AI_Analysis_c as the target field.
After creating the prompt template, theAgentforce Specialistsaves, tests, and activates it. Howsoever, when they go to a case record, the AI Analysis field does not show the (Sparkle) icon on the Edit pencil. When theAgentforce Specialistwas editing the field, it was behaving as a normal field.
Which critical step did theAgentforce Specialistmiss?
Answer: B
Explanation:
For Field Generation prompt templates to display the Sparkle icon (indicating AI-generated content), the target field must be explicitly associated with the prompt template on the Lightning page layout. Even if the prompt template is activated, failing to add the field to the page layout and link it to the template will result in the field behaving as a standard field. Salesforce documentationemphasizes that page layout configuration is mandatory to enable AI-driven field interactions.
* Reactivating the layout (A) is unnecessary unless the layout itself was modified after activation.
* Case objects are supported for Field Generation (B is incorrect).
NEW QUESTION # 355
Universal Containers (UC) wants to assess Salesforce's generative features but has concerns over its company data being exposed to third- party large language models (LLMs). Specifically, UC wants the following capabilities to be part of Einstein's generative AI service.
No data is used for LLM training or product improvements by third- party LLMs.
No data is retained outside of UC's Salesforce org.
The data sent cannot be accessed by the LLM provider.
Which property of the Einstein Trust Layer should the Agentforce Specialist highlight to UC that addresses these requirements?
Answer: B
Explanation:
Universal Containers (UC)has concerns about data privacy when usingSalesforce's generative AIfeatures, particularly around preventing third-party LLMs from accessing or retaining their data. TheZero-Data Retention Policyin theEinstein Trust Layeris designed to address these concerns by ensuring that:
* No data is used for trainingor product improvements by third-party LLMs.
* No data is retainedoutside of the customer's Salesforce organization.
* The LLM provider cannot access any customer data.
This policy aligns perfectly with UC's requirements for keeping their data safe while leveraging generative AI capabilities.
* Prompt DefenseandData Maskingare also security features, but they do not directly address the concerns related to third-party data access and retention.
:
Salesforce Einstein Trust Layer Documentation:https://help.salesforce.com/s/articleView?id=sf.
einstein_trust_layer.htm
NEW QUESTION # 356
Universal Containers (UC) wants to enable its sales team with automatic post-call visibility into mention of competitors, products, and other custom phrases.
Which feature should theAgentforce Specialistset up to enable UC's sales team?
Answer: C
Explanation:
To enable Universal Containers' sales team with automatic post-call visibility into mentions ofcompetitors, products, and custom phrases, theAgentforce Specialistshould set upCall Insights.Call Insightsanalyzes voice and video calls for key phrases, topics, and mentions, providing insights into critical aspects of the conversation. This feature automatically surfaces key details such as competitor mentions, product discussions, and custom phrases specified by the sales team.
* Call Summariesprovide a general overview of the call but do not specifically highlight keywords or topics.
* Call Exploreris a tool for navigating through call data but does not focus on automatic insights.
For more information, refer toSalesforce's Call Insights documentationregarding the analysis of call content and extracting actionable information.
NEW QUESTION # 357
Universal Containers' Agentforce Specialist suspects the Service Agent is systematically misclassifying billing dispute intents under a general inquiry topic, causing incorrect actions to execute. The administrator needs to identify this pattern across sessions without reviewing individual transcripts.
What should the specialist recommend?
Answer: A
Explanation:
The correct answer is B because the requirement is to discover a recurring misclassification pattern across production sessions without manually reading transcripts. Agent Optimization is built for this observability use case. It extends session tracing capabilities with additional data structures that track session moments and user intent, allowing teams to understand intent clusters and recurring behavior patterns. Option A is too manual because querying raw session tracing data still requires analysis work and does not directly provide clustered intent insights. Option C is useful for predeployment or regression testing, but it does not analyze actual production sessions unless the test set already reflects the live problem. Salesforce documentation describes Agent Optimization as tracking session moments and user intent through additional DLOs and DMOs.
NEW QUESTION # 358
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