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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?
A. Access the Toxicity Detection log in Setup and export all entries where is Toxicity Detected is true.
B. Create a flow that sends an email to a specified address each time the toxicity score from the response exceeds a predefined threshold.
C. Create a Trust Layer audit report within Data Cloud that uses a toxicity detector type filter to display toxic responses and their respective scores.
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 with in 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 with in 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.
An AI Specialist needs to create a Sales Email with a custom prompt template. They need to ground on the following data. Opportunity Products Events near the customer Tone and voice examples. How should the AI Specialist obtain related items?
A. Call prompt initiated flow to fetch and ground the required data.
B. Create a flex template that takes the records in question as inputs.
C. Utilize a standard email template and manually insert the required data fields.
Explanation:
To ground a sales email on Opportunity Products, Events near the customer, and Tone and voice examples, the AI Specialist should use a prompt-initiated flow. This flow can dynamically fetch the necessary data from related records in Salesforce and ground the generative AI output with contextually accurate information.
Option B (flex template) does not provide the ability to fetch dynamic data from Salesforce records automatically.
Option C (manual insertion) would not allow for the dynamic and automated grounding of data required for custom prompts.
Universal Containers is using Einstein Copilot for Sales to find similar opportunities to help
close deals faster. The team wants to understand the criteria used by the copilot to match
opportunities.
What is one criteria that Einstein Copilot for Sales uses to match similar opportunities?
A. Matched opportunities are limited to the same account.
B. Matched opportunities were created in the last 12 months.
C. Matched opportunities have a status of Closed Won from last 12 months.
Explanation: WhenEinstein Copilot for Salesmatches similar opportunities, one of the
primary criteria used is whether the opportunities have astatus of Closed Wonwithin the
last 12 months. This is a key factor in identifying successful patterns that could help close
current deals. By focusing on opportunities that have been recently successful, Einstein
Copilot can provide relevant insights and suggestions to sales reps to help them close
similar deals faster.
For more information, reviewSalesforce Einstein Copilot documentationrelated to
opportunity matchingand sales success patterns.
Before activating a custom copilot action, an AI Specialist would like is to understand
multiple real-world user utterances to ensure the action being selected appropriately.
Which tool should the AI Specialist recommend?
A. Model Playground
B. Einstein Copilot
C. Copilot Builder
Explanation: To understand multiple real-world user utterances and ensure the correct
action is selected before activating acustom copilot action, the recommended tool is
Copilot Builder. This tool allows AI Specialists to design and test conversational actions in
response to user inputs, helping ensure the copilot can accurately handle different user
queries and phrases.Copilot Builderprovides the ability to test, refine, and improve actions
based on real-world utterances.
Option Cis correct asCopilot Builderis designed for configuring and testing conversational actions.
Option A(Model Playground) is used for testing models, not user utterances.
Option B(Einstein Copilot) refers to the conversational interface but isn't the right
tool for designing and testing actions.
Universal Containers (UC) wants to use the Draft with Einstein feature in Sales Cloud to
create a personalized introduction email.
After creating a proposed draft email, which predefined adjustment should UC choose to
revise the draft with a more casual tone?
A. Make Less Formal
B. Enhance Friendliness
C. Optimize for Clarity
Explanation: WhenUniversal Containersuses theDraft with Einsteinfeature inSales
Cloudto create a personalized email, the predefined adjustment toMake Less Formalis
the correct option to revise the draft with a more casual tone. This option adjusts the
wording of the draft to sound less formal, making the communication more approachable
while still maintaining professionalism.
Enhance Friendlinesswould make the tone more positive, but not necessarily more
casual.
Optimize for Clarityfocuses on making the draft clearer but doesn't adjust the tone.
For more details, seeSalesforce documentation on Einstein-generated email drafts
and tone adjustments.
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