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EMC Dell GenAI Foundations Achievement Sample Questions (Q19-Q24):
NEW QUESTION # 19
What impact does bias have in Al training data?
- A. It ensures faster processing of data by the model.
- B. It enhances the model's performance uniformly across tasks.
- C. It can lead to unfair or incorrect outcomes.
- D. It simplifies the algorithm's complexity.
Answer: C
Explanation:
Definition of Bias: Bias in AI refers to systematic errors that can occur in the model due to prejudiced assumptions made during the data collection, model training, or deployment stages.
NEW QUESTION # 20
A business wants to protect user data while using Generative Al.
What should they prioritize?
- A. Robust security measures
- B. Customer feedback
- C. Product innovation
- D. Marketing strategies
Answer: A
Explanation:
When a business is using Generative AI and wants to ensure the protection of user data, the top priority should be robust security measures. This involves implementing comprehensive data protection strategies, such as encryption, access controls, and secure data storage, to safeguard sensitive information against unauthorized access and potential breaches.
The Official Dell GenAI Foundations Achievement document underscores the importance of security in AI systems. It highlights that while Generative AI can provide significant benefits, it is crucial to maintain the confidentiality, integrity, and availability of user data12. This includes adhering to best practices for data security and privacy, which are essential for building trust and ensuring compliance with regulatory requirements.
Customer feedback (Option OA), product innovation (Option OB), and marketing strategies (Option OC) are important aspects of business operations but do not directly address the protection of user data. Therefore, the correct answer is D. Robust security measures, as they are fundamental to the ethical and responsible use of AI technologies, especially when handling sensitive user data.
NEW QUESTION # 21
A legal team is assessing the ethical issues related to Generative Al.
What is a significant ethical issue they should consider?
- A. Increased productivity
- B. Improved customer service
- C. Copyright and legal exposure
- D. Enhanced creativity
Answer: C
Explanation:
When assessing the ethical issues related to Generative AI, a legal team should consider copyright and legal exposure as a significant concern. Generative AI has the capability to produce new content that could potentially infringe on existing copyrights or intellectual property rights. This raises complex legal questions about the ownership of AI-generated content and the liability for any copyright infringement that may occur as a result of using Generative AI systems.
The Official Dell GenAI Foundations Achievement document likely addresses the ethical considerations of AI, including the potential for bias and the importance of developing a culture to reduce bias and increase trust in AI systems1. Additionally, it would cover the ethical issues principles and the impact of AI in business, which includes navigating the legal landscape and ensuring compliance with copyright laws1.
Improved customer service (Option OA), enhanced creativity (Option OB), and increased productivity (Option OC) are generally viewed as benefits of Generative AI rather than ethical issues. Therefore, the correct answer is D. Copyright and legal exposure, as it pertains to the ethical and legal challenges that must be navigated when implementing Generative AI technologies.
NEW QUESTION # 22
What strategy can an organization implement to mitigate bias and address a lack of diversity in technology?
- A. Reduce diversity across technology teams and roles.
- B. Ignore the issue and hope it resolves itself over time.
- C. Partner with nonprofit organizations, customers, and peer companies on coalitions, advocacy groups, and public policy initiatives.
- D. Limit partnerships with nonprofits and nongovernmental organizations.
Answer: C
Explanation:
Partnerships with Nonprofits: Collaborating with nonprofit organizations can provide valuable insights and resources to address diversity and bias in technology. Nonprofits often have expertise in advocacy and community engagement, which can help drive meaningful change.
NEW QUESTION # 23
What is the purpose of the explainer loops in the context of Al models?
- A. They are used to increase the complexity of the Al models.
- B. They are used to provide insights into the model's reasoning, allowing users and developers to understand why a model makes certain predictions or decisions.
- C. They are usedto increase the bias in the Al models.
- D. They are used to reduce the accuracy of the Al models.
Answer: B
Explanation:
Explainer Loops: These are mechanisms or tools designed to interpret and explain the decisions made by AI models. They help users and developers understand the rationale behind a model's predictions.
NEW QUESTION # 24
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