Exam Agentforce-Specialist Topic 2 Question 113 Discussion
Actual exam question for Salesforce's Agentforce-Specialist exam
Question #: 113
Topic #: 2
Question #: 113
Topic #: 2
Which part of the Einstein Trust Layer architecture leverages an organization's own data within a large language model (LLM) prompt to confidently return relevant and accurate responses?
Suggested Answer: C Vote an answer
Dynamic Grounding in the Einstein Trust Layer architecture ensures that large language model (LLM) prompts are enriched with organization-specific data (e.g., Salesforce records, Knowledge articles) to generate accurate and relevant responses. By dynamically injecting contextual data into prompts, it reduces hallucinations and aligns outputs with trusted business data.
* Prompt Defense (A) focuses on blocking malicious inputs or prompt injections but does not enhance responses with organizational data.
* Data Masking (B) redacts sensitive information but does not contribute to grounding responses in business context.
Reference:
Salesforce Help Article: Einstein Trust Layer - Dynamic Grounding ("How Dynamic Grounding Works" section).
Einstein Trust Layer Technical Overview: "Contextual Accuracy with Dynamic Grounding."
* Prompt Defense (A) focuses on blocking malicious inputs or prompt injections but does not enhance responses with organizational data.
* Data Masking (B) redacts sensitive information but does not contribute to grounding responses in business context.
Reference:
Salesforce Help Article: Einstein Trust Layer - Dynamic Grounding ("How Dynamic Grounding Works" section).
Einstein Trust Layer Technical Overview: "Contextual Accuracy with Dynamic Grounding."
by Jeffrey at Jun 17, 2026, 01:11 PM
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