ExamGecko
Search Search Login
Home Home / Salesforce / Certified AI Specialist
Question list
Search
Search

List of questions

Search
Open VPLUS File
Convert VPLUS to PDF

Related questions

Universal Containers (UC) wants to use Flow to bring data from unified Data Cloud objects to prompt templates. Which type of flow should UC use?
Universal Containers (UC) recently rolled out Einstein Generative capabilities and has created a custom prompt to summarize case records. Users have reported that the case summaries generated are not returning the appropriate information. What is a possible explanation for the poor prompt performance?
What is best practice when refining Einstein Copilot custom action instructions?
Universal Containers wants to utilize Einstein for Sales to help sales reps reach their sales quotas by providing Al-generated plans containing guidance and steps for closing deals. Which feature should the AI Specialist recommend to the sales team?
Universal Containers' service team wants to customize the standard case summary response from Einstein Copilot. What should the AI Specialist do to achieve this?
Universal Containers needs a tool that can analyze voice and video call records to provide insights on competitor mentions, coaching opportunities, and other key information. The goal is to enhance the team's performance by identifying areas for improvement and competitive intelligence. Which feature provides insights about competitor mentions and coaching opportunities?
Universal Containers (UC) is using Einstein Generative AI to generate an account summary. UC aims to ensure the content is safe and inclusive, utilizing the Einstein Trust Layer's toxicity scoring to assess the content's safety level. What does a safety category score of 1 indicate in the Einstein Generative Toxicity Score?
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?
The marketing team at Universal Containers is looking for a way personalize emails based on customer behavior, preferences, and purchase history. Why should the team use Einstein Copilot as the solution?
Leadership needs to populate a dynamic form field with a summary or description created by a large language model (LLM) to facilitate more productive conversations with customers. Leadership also wants to keep a human in the loop to be considered in their AI strategy. Which prompt template type should the AI Specialist recommend?

Question 33 - Certified AI Specialist discussion

Report
Export

Universal Containers (UC) is implementing Einstein Generative AI to improve customer insights and interactions. UC needs audit and feedback data to be accessible for reporting purposes.

What is a consideration for this requirement?

A.
Storing this data requires Data Cloud to be provisioned.
Answers
A.
Storing this data requires Data Cloud to be provisioned.
B.
Storing this data requires a custom object for data to be configured.
Answers
B.
Storing this data requires a custom object for data to be configured.
C.
Storing this data requires Salesforce big objects.
Answers
C.
Storing this data requires Salesforce big objects.
Suggested answer: A

Explanation:

When implementing Einstein Generative AI for improved customer insights and interactions, the Data Cloud is a key consideration for storing and managing large-scale audit and feedback data. The Salesforce Data Cloud (formerly known as Customer 360 Audiences) is designed to handle and unify massive datasets from various sources, making it ideal for storing data required for AI-powered insights and reporting. By provisioning Data Cloud, organizations like Universal Containers (UC) can gain real-time access to customer data, making it a central repository for unified reporting across various systems.

Audit and feedback data generated by Einstein Generative AI needs to be stored in a scalable and accessible environment, and the Data Cloud provides this capability, ensuring that data can be easily accessed for reporting, analytics, and further model improvement.

Custom objects or Salesforce Big Objects are not designed for the scale or the specific type of real-time, unified data processing required in such AI-driven interactions. Big Objects are more suited for archival data, whereas Data Cloud ensures more robust processing, segmentation, and analysis capabilities.

Salesforce Data Cloud Documentation: https://www.salesforce.com/products/data-cloud/overview/

Salesforce Einstein AI Overview: https://www.salesforce.com/products/einstein/overview/

Show Answer
asked 26/09/2024
Liaqat Bashir
31 questions
PreviousPreviousNextNext
User
Your answer:
0 comments
Sorted by

Leave a comment first

ExamGecko

Copyright @2023 ExamGecko | All right reserved

Mail us: [email protected]
About us
Contact us
Twitter X
Facebook
Medium
Convert VPLUS to PDF
Open VPLUS files Easily and Quickly
Privacy Policy
Disclaimer
Terms