SALESFORCE-AI-ASSOCIATE EXAM FORUM - SALESFORCE-AI-ASSOCIATE VALID TEST CAMP

Salesforce-AI-Associate Exam Forum - Salesforce-AI-Associate Valid Test Camp

Salesforce-AI-Associate Exam Forum - Salesforce-AI-Associate Valid Test Camp

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Salesforce Salesforce-AI-Associate Exam Syllabus Topics:

TopicDetails
Topic 1
  • Data for AI: Questions about the importance of data quality and different elements or components of data quality are related to this topic.
Topic 2
  • AI Capabilities in CRM: Get familiar with the benefits of AI and capabilities of CRM.
Topic 3
  • Ethical Considerations of AI: It delves into the ethical challenges of AI such as human bias in machine learning, lack of transparency, etc. The topic also explains how to apply the Trusted AI Principles of Salesforce to given scenarios.
Topic 4
  • AI Fundamentals: This topic discusses the major principles and applications of AI within Salesforce. It also focuses on different types of AI and their capabilities.

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Salesforce Certified AI Associate Exam Sample Questions (Q20-Q25):

NEW QUESTION # 20
What is a sensitive variable that car esc to bias?

  • A. Gender
  • B. Country
  • C. Education level

Answer: A

Explanation:
Explanation
"Gender is a sensitive variable that can lead to bias. A sensitive variable is a variable that can potentially cause discrimination or unfair treatment based on a person's identity or characteristics. For example, gender is a sensitive variable because it can affect how people are perceived, treated, or represented by AI systems."


NEW QUESTION # 21
A customer using Einstein Prediction Builder is confused about why a certain prediction was made.
Following Salesforce's Trusted AI Principle of Transparency, which customer information should be accessible on the Salesforce Platform?

  • A. A marketing article of the product that clearly outlines the oroduct's capabilities and features
  • B. An explanation of how Prediction Builder works and a link to Salesforce's Trusted AI Principles
  • C. An explanation of the prediction's rationale and a model card that describes how the model was created

Answer: C


NEW QUESTION # 22
How does data quality impact the trustworthiness of Al-driven decisions?

  • A. High-quality data improves the reliability and credibility of Al-driven decisions, fostering trust among users.
  • B. The use of both low-quality and high-quality data can improve the accuracy and reliability of AI-driven decisions.
  • C. Low-quality data reduces the risk of overfitting the model, improving the trustworthiness of the predictions.

Answer: A

Explanation:
Explanation
"High-quality data improves the reliability and credibility of AI-driven decisions, fostering trust among users.
High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task.
High-quality data can improve the performance and reliability of AI systems, as they have enough and correct information to learn from and make accurate predictions. High-quality data can also improve the trustworthiness of AI-driven decisions, as users can have more confidence and satisfaction in using AI systems."


NEW QUESTION # 23
A business analyst (BA) wants to improve business by enhancing their sales processes and customer..
Which AI application should the BA use to meet their needs?

  • A. Machine learning models and chatbot predictions
  • B. Lead scoring, opportunity forecasting, and case classification
  • C. Sales data cleansing and customer support data governance

Answer: B

Explanation:
Explanation
"Lead scoring, opportunity forecasting, and case classification are AI applications that can help a business analyst improve their sales processes and customer support. Lead scoring can help prioritize leads based on their likelihood to convert, opportunity forecasting can help predict future sales or revenue based on historical data and trends, and case classification can help categorize and route cases based on their attributes."


NEW QUESTION # 24
What role does data quality play in the ethical us of AI applications?

  • A. High-quality data ensures the process of demographic attributes requires for personalized campaigns.
  • B. High-quality data is essential for ensuring unbased and for fair AI decisions, promoting ethical use, and preventing discrimi...
  • C. Low-quality data reduces the risk of unintended bias as the data is not overfitted to demographic groups.

Answer: B

Explanation:
Explanation
"High-quality data is essential for ensuring unbiased and fair AI decisions, promoting ethical use, and preventing discrimination. High-quality data means that the data is accurate, complete, consistent, relevant, and timely for the AI task. High-quality data can help ensure unbiased and fair AI decisions by providing a balanced and representative sample of the target population or domain. High-quality data can also help promote ethical use and prevent discrimination by respecting the rights and preferences of users regarding their personal data."


NEW QUESTION # 25
......

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