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>> Agentforce-Specialist證照指南 <<
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問題 #116
Universal Containers (UC) is creating a new custom prompt template to populate a field with generated output. UC enabled the Einstein Trust Layer to ensure AI Audit data is captured and monitored for adoption and possible enhancements. Which prompt template type should UC use and which consideration should UC review?
答案：B
解題說明：
Salesforce Agentforce provides various prompt template types to support AI-driven tasks, such as generating text or populating fields. In this case, UC needs a custom prompt template to populate a field with generated output, which directly aligns with the Field Generation prompt template type. This type is designed to use generative AI to create field values (e.g., summaries, descriptions) based on input data or prompts, making it the ideal choice for UC's requirement. Additionally, UC has enabled the Einstein Trust Layer, a governance framework that ensures AI outputs are safe, explainable, and auditable, capturing AI Audit data for monitoring adoption and identifying improvement areas.
The consideration UC should review is whether Dynamic Fields is enabled. Dynamic Fields allow the prompt template to incorporate variable data from Salesforce records (e.g., case details, customer info) into the prompt, ensuring the generated output is contextually relevant to each record. This is critical for field population tasks, as static prompts wouldn't adapt to record-specific needs. The Einstein Trust Layer further benefits from this, as it can track how dynamic inputs influence outputs for audit purposes.
* Option A: Correct. "Field Generation" matches the use case, and "Dynamic Fields" is a key consideration to ensure flexibility and auditability with the Trust Layer.
* Option B: "Field Generation" is correct, but "Dynamic Forms" is unrelated. Dynamic Forms is a UI feature for customizing page layouts, not a prompt template setting, making this option incorrect.
* Option C: "Flex" templates are more general-purpose and not specifically tailored for field population tasks. While Dynamic Fields could apply, Field Generation is the better fit for UC's stated goal.
Option A is the best choice, as it pairs the appropriate template type (Field Generation) with a relevant consideration (Dynamic Fields) for UC's scenario with the Einstein Trust Layer.
:
Salesforce Agentforce Documentation: "Prompt Template Types" (Salesforce Help: https://help.salesforce.
com/s/articleView?id=sf.agentforce_prompt_templates.htm&type=5)
Salesforce Einstein Trust Layer Documentation: "Monitor AI with Trust Layer" (https://help.salesforce.com/s
/articleView?id=sf.einstein_trust_layer.htm&type=5)
Trailhead: "Build Prompt Templates for Agentforce" (https://trailhead.salesforce.com/content/learn/modules
/build-prompt-templates-for-agentforce)
問題 #117
A Service Agent at Universal Containers (UC) is designed to help customers resolve issues by searching against knowledge articles.
Knowledge articles have PDF attachments that add critical details. UC reports that the agent provides excellent summaries of the knowledge articles, but seems completely unaware of the PDF attachments.
How should an Agentforce Specialist configure the Data Cloud search index to include the content of these attached files?
答案：A
解題說明：
The AgentForce Data Cloud Indexing Guide clearly states that to include content from attached files such as PDFs in Knowledge articles, the correct configuration is to enable "Include Attachments" and map the ContentDocumentVersion unstructured data model object (UDMO). The documentation specifies: "When indexing Knowledge or Case data, enabling the 'Include Attachments' option allows the Data Cloud index to extract and embed content from linked ContentDocumentVersion records, ensuring the agent retrieves relevant information from attachments." Option A (increasing chunk size) does not enable attachment ingestion. Option B (ContentDocumentLink mapping) only establishes a relationship, not content extraction. Therefore, Option C ensures attachment content becomes searchable within AgentForce retrieval.
References (AgentForce Documents / Study Guide):
AgentForce Data Cloud Indexing and Retrieval Guide: "Including Attachments in Knowledge Indexes" AgentForce Implementation Handbook: "Mapping UDMO for ContentDocumentVersion" AgentForce Study Guide: "Attachment Content Inclusion for Knowledge Articles"
問題 #118
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?
答案：B
解題說明：
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.
問題 #119
For an Agentforce Data Library that contains uploaded files, what occurs once it is created and configured?
答案：C
解題說明：
In Salesforce Agentforce, a Data Library is a feature that allows organizations to upload files (e.g., PDFs, documents) to be used as grounding data for AI-driven agents. Once the Data Library is created and configured, the uploaded files are indexed to make their content searchable and usable by the AI (e.g., for retrieval-augmented generation or prompt enhancement). The key question is where this indexing occurs.
Salesforce Agentforce integrates tightly with Data Cloud, a unified data platform that includes a vector database optimized for storing and indexing unstructured data like uploaded files. When a Data Library is set up, the files are ingested and indexed into Data Cloud's vector database, enabling the AI to efficiently retrieve relevant information from them during conversations or actions.
Option A: Indexing files in a " location specified by the user " is not a feature of Agentforce Data Libraries.
The indexing process is managed by Salesforce infrastructure, not a user-defined location.
Option B: This is correct. Data Cloud handles the indexing of uploaded files, storing them in its vector database to support AI capabilities like semantic search and content retrieval.
Option C: Salesforce File Storage (e.g., where ContentVersion records are stored) is used for general file storage, but it does not inherently index files for AI use. Agentforce relies on Data Cloud for indexing, not basic file storage.
Thus, Option B accurately reflects the process after a Data Library is created and configured in Agentforce.
Salesforce Agentforce Documentation: " Set Up a Data Library " (Salesforce Help: https://help.salesforce.com
/s/articleView?id=sf.agentforce_data_library.htm & type=5)
Salesforce Data Cloud Documentation: " Vector Database for AI " (https://help.salesforce.com/s/articleView?
id=sf.data_cloud_vector_database.htm & type=5)
問題 #120
Universal Containers is very concerned about security compliance and wants to understand:
Which prompt text is sent to the large language model (LLM)
* How it is masked
* The masked response
What should theAgentforce Specialistrecommend?
答案：A
解題說明：
To addresssecurity complianceconcerns and provide visibility into theprompt text sent to the LLM, how it ismasked, and themasked response, theAgentforce Specialistshould recommend enabling theaudit trail in the Einstein Trust Layer. This feature captures and logs the prompts sent to the large language model (LLM) along with the masking of sensitive information and the AI's response. This audit trail ensures full transparency and compliance with security requirements.
* Option A (Einstein Shield Event logs)is focused on system events rather than specific AI prompt data.
* Option B (debug logs)would not provide the necessary insight into AI prompt masking or responses.
For further details, refer toSalesforce's Einstein Trust Layer documentationabout auditing and security measures.
問題 #121
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