Salesforce Updated Salesforce-AI-Specialist Exam Questions and Answers by romilly

In theEinstein Trust Layer, thetoxicity scoringsystem is used to evaluate the safety level of content generated by AI, particularly to ensure that it is non-toxic, inclusive, and appropriate for business contexts. Atoxicity score of 1indicates that the content is deemedsafe.

The scoring system ranges from 0 (unsafe) to 1 (safe), with intermediate values indicating varying degrees of safety. In this case, a score of 1 means that the generated content is fully safe and meets the trust and compliance guidelines set by theEinstein Trust Layer.

For further reference, check Salesforce’s officialEinstein Trust Layer documentationregardingtoxicity scoringfor AI-generated content.

For analyzing voice and video call records to gain insights into competitor mentions, coaching opportunities, and other key information,Call Exploreris the most suitable feature.Call Explorer, a part ofEinstein Conversation Insights, enables sales teams to analyze calls, detect patterns, and identify areas where improvements can be made. It uses natural language processing (NLP) to extract insights, includingcompetitor mentionsand moments for coaching. These insights are vital for improving sales performance by providing a clear understanding of the interactions during calls.

Call Summariesoffer a quick overview of a call but do not delve deep into competitor mentions or coaching insights.

Einstein Sales Insightsfocuses more on pipeline and forecasting insights rather than call-based analysis.

References:

Salesforce Einstein Conversation Insights Documentation:https://help.salesforce.com/s/articleView?id=einstein_conversation_insights.htm

After modifying masked fields inEinstein's Trust Layer, the next important step is totest and confirmthat the responses generated by prompts utilizing the newly masked data still meet quality standards. This ensures that masking sensitive information does not negatively impact the usefulness or accuracy of the AI-generated content. Thorough testing helps identify any issues in prompt performance that could arise due to masking, and adjustments can be made if needed.

Option Bis correct because testing the effects of masking on AI responses is a critical step in ensuring AI continues to function as expected.

Option A(turning off and on the Einstein Trust Layer) is unnecessary after changing the masked fields.

Option C(turning on Einstein Feedback) allows for user feedback but is not a direct step following field masking modifications.

References:

Salesforce Einstein Trust Layer Overview:https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer.htm

In order to access and create custom prompt templates inPrompt Builder, the AI Specialist must have thePrompt Template Managerpermission set assigned. Without this permission, they will not be able to accessPrompt Builderin the Setup menu, even thoughEinstein Generative AIis enabled.

Option Bis correct because thePrompt Template Managerpermission set is required to usePrompt Builder.

Option A(Prompt Template User permission set) is incorrect because this permission allows users to use prompts, but not create or manage them.

Option C(LLM configuration in Data Cloud) is unrelated to the ability to accessPrompt Builder.

References:

Salesforce Prompt Builder Permissions:https://help.salesforce.com/s/articleView?id=sf.prompt_builder_permissions.htm