AI Specialist Deck Flashcards
What is one way the Einstein Trust Layer ensures data privacy?
A. The Einstein Trust Layer detects and masks sensitive information before sending it to the large language model (LLM).
B. The Einstein Trust Layer assigns role-based access controls to regulate data access.
C. The Einstein Trust Layer enhances firewall protections to prevent unauthorized access.
A. The Einstein Trust Layer detects and masks sensitive information before sending it to the large language model (LLM).
A healthcare company is implementing Salesforce Einstein to enhance its customer service operations but is highly concerned about data privacy and healthcare regulation compliance. The company requires that no patient data is used for LLM model training or product improvements. What feature of the Einstein Trust Layer addresses the organization’s data privacy concerns?
A Zero-Data Retention Policy
B Dynamic Grounding
C Prompt Defense
A Zero-Data Retention Policy
From where is the Einstein Generative AI Audit and Feedback Data Report package accessed?
A Data Cloud
B Marketing Cloud
C Sales Cloud
A Data Cloud
Which feature of the Einstein Trust Layer helps limit hallucinations and decrease the likelihood of unintended outputs?
A Dynamic Grounding with Secure Data Retrieval
Incorrect. Dynamic Grounding with Secure Data Retrieval refers to merging information from a Salesforce record with a prompt, while preserving applicable security and permission configurations.
B Prompt Defense
Correct. Prompt Defense refers to system policies that help limit hallucinations and decrease the likelihood of harmful outputs.
C Toxicity Scoring
Incorrect. Toxicity Scoring outputs a score based on toxicity, and then stores the scores in Data Cloud.
B Prompt Defense
Correct. Prompt Defense refers to system policies that help limit hallucinations and decrease the likelihood of harmful outputs.
Define: Zero-Data Retention Policy
Ensure no third-party retention, LLM training, or human data access
Define: Toxicity Scoring
Evaluates content for toxicity and logs scores in Data Cloud as part of an audit trail
Define: prompt Defense
System policies designed to limit AI hallucinations and reduce the risk of unintended outputs
Define: Data Masking
Detects and replaces sensitive data with placeholder text before it is sent to the LLM
A sales team wants to use AI to prioritize outreach to potential customers, based on their likelihood to convert. Which feature of Agentforce for Sales should the sales team use?
A Einstein Opportunity Scoring
B Einstein Activity Capture
C Einstein Lead Scoring
C Einstein Lead Scoring
A company is preparing to reach out to potential leads who have shown interest in the company’s latest product. The company wants to send personalized emails based on each lead’s interactions and interests. Which feature should the company use?
A Einstein Sales Emails
B Einstein Service Replies
C Einstein Automated Contacts
A Einstein Sales Emails
A customer support team manages a high volume of customer inquiries daily. The team wants to leverage generative AI to decrease the time it takes to draft and send responses to customers. Which feature should the company use?
A Einstein Case Classification
B Einstein Call Summaries
C Einstein Service Replies for Email
C Einstein Service Replies for Email
A support team manager wants to implement a feature that will help agents quickly catch up on ongoing customer conversations. The manager needs a solution that helps agents create an outline of completed conversations within a case, including the issue and resolution. Which feature meets these requirements?
A Einstein Service Replies for Chat
B Einstein Work Summaries
C Einstein Article Recommendations
B Einstein Work Summaries
Define: Call Explorer
Sales Cloud features that enables user to quickly gather information about voice and video call
Define: Call summaries
Sales Cloud Feature for creating and sharing editable summaries of voice and video calls
Define: Einstein Service Replies
Service Cloud feature that generates email and chat responses based on knowledge-base data