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Question 1

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What is a possible outcome of poor data quality?

Question 2

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To avoid introducing unintended bias to an AI model, which type of data should be omitted?

Question 3

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What is an implication of user consent in regard to AI data privacy?

Question 4

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How does data quality impact the trustworthiness of Al-driven decisions?

Question 5

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Cloud Kicks learns of complaints from customers who are receiving too many sales calls and emails. Which data quality dimension should be assessed to reduce these communication Inefficiencies?

Question 6

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A developer is tasked with selecting a suitable dataset for training an AI model in Salesforce to accurately predict current customer behavior. What Is a crucial factor that the developer should co

Question 7

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What is a benefit of a diverse, balanced, and large dataset?

Question 8

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What are the three commonly used examples of AI in CRM?

Question 9

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Cloud Kicks wants to optimize its business operations by incorporating AI into its CRM. What should the company do first to prepare its data for use with AI?

Question 10

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A healthcare company implements an algorithm to analyze patient data and assist in medical diagnosis. Which primary role does data Quality play In this AI application?

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Related questions

Cloud Kicks implements a new product recommendation feature for its shoppers that recommends shoes of a given color to display to customers based on the color of the products from their purchase history. Which type of bias is most likely to be encountered in this scenario?

Why is it critical to consider privacy concerns when dealing with AI and CRM data?

Which features of Einstein enhance sales efficiency and effectiveness?

Which Einstein capability uses emails to create content for Knowledge articles?

Which action should be taken to develop and implement trusted generated AI with Salesforce's safety guideline in mind?

What is one technique to mitigate bias and ensure fairness in AI applications?

A developer has a large amount of data, but it is scattered across different systems and is not standardized. Which key data quality element should they focus on to ensure the effectiveness of the AI models?

Cloud Kicks wants to develop a solution to predict customers product interests based on historical data. The company found that employees from one region use a text field to capture the product category, while employees from all other locations use a plckllst. Which data quality dimension is affected in this scenario?

What is a possible outcome of poor data quality?

What is a societal implication of excluding ethics in AI development?

Question 52 - Certified AI Associate discussion

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In the context of Salesforce's Trusted AI Principles what does the principle of Empowerment primarily aim to achieve?

A.

Empower users to off all skill level to build AI application with clicks, not code.

B.

Empower users to contribute to the growing body of knowledge of leading AI research.

C.

Empower users to solve challenging technical problems using neural networks.

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asked 23/09/2024

Achref hellal

33 questions

User

Your answer: A B C

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