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Free Salesforce-AI-Specialist Exam Braindumps (page: 20)

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PDF with 152 Questions

Universal Containers wants to be able to detect with a high level confidence if content generated by a large language model (LLM) contains toxic language.
Which action should an Al Specialist take in the Trust Layer to confirm toxicity is being appropriately managed?

  1. Access the Toxicity Detection log in Setup and export all entries where isToxicityDetected is true.
  2. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
  3. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.

Answer(s): C

Explanation:

To ensure that content generated by a large language model (LLM) is appropriately screened for toxic language, the AI Specialist should create a Trust Layer audit report within Data Cloud. By using the toxicity detector type filter, the report can display toxic responses along with their respective toxicity scores, allowing Universal Containers to monitor and manage any toxic content generated with a high level of confidence.
Option C is correct because it enables visibility into toxic language detection within the Trust Layer and allows for auditing responses for toxicity.
Option A suggests checking a toxicity detection log, but Salesforce provides more comprehensive options via the audit report.
Option B involves creating a flow, which is unnecessary for toxicity detection monitoring.


Reference:

Salesforce Trust Layer Documentation:
https://help.salesforce.com/s/articleView?id=sf.einstein_trust_layer_audit.htm



When configuring a prompt template, an AI Specialist previews the results of the prompt template they've written. They see two distinct text outputs: Resolution and Response.

Which information does the Resolution text provide?

  1. It shows the full text that is sent to the Trust Layer.
  2. It shows the response from the LLM based on the sample record.
  3. It shows which sensitive data is masked before it is sent to the LLM.

Answer(s): B

Explanation:

When previewing a prompt template in Salesforce, the Resolution text provides the response from the LLM (Large Language Model) based on the data from a sample record. This output shows what the AI model generated in response to the prompt, giving the AI Specialist a chance to review and adjust the response before finalizing the template.
Option B is correct because Resolution displays the actual response generated by the LLM. Option A refers to sending the text to the Trust Layer, but that's not what Resolution represents. Option C relates to data masking, which is shown elsewhere, not under Resolution.


Reference:

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



What is the primary function of the planner service in the Einstein Copilot system?

  1. Generating record queries based on conversation history
  2. Offering real-time language translation during conversations
  3. Identifying copilot actions to respond to user utterances

Answer(s): C

Explanation:

The primary function of the planner service in the Einstein Copilot system is to identify copilot actions that should be taken in response to user utterances. This service is responsible for analyzing the conversation and determining the appropriate actions (such as querying records, generating a response, or taking another action) that the Einstein Copilot should perform based on user input.



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 the AI Specialist set up to enable UC's sales team?

  1. Call Summaries
  2. Call Explorer
  3. Call Insights

Answer(s): C

Explanation:

To enable Universal Containers' sales team with automatic post-call visibility into mentions of competitors, products, and custom phrases, the AI Specialist should set up Call Insights. Call Insights analyzes 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 Summaries provide a general overview of the call but do not specifically highlight keywords or topics.
Call Explorer is a tool for navigating through call data but does not focus on automatic insights. For more information, refer to Salesforce's Call Insights documentation regarding the analysis of call content and extracting actionable information.






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