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Valid D-GAI-F-01 Real Test - D-GAI-F-01 Vce File

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EMC D-GAI-F-01 Exam Syllabus Topics:

Topic
Details

Topic 1

Dell's Generative AI Technologies: For Dell system administrators and AI implementers, this part of the exam probably focuses on Dell's specific implementations and tools related to Generative AI.

Topic 2

Introduction to Generative AI: For AI enthusiasts and IT professionals, this section of the exam likely covers the basic concepts and principles of Generative AI.

Topic 3

Ethics and Responsible AI: For all professionals working with AI, this section likely covers ethical considerations and responsible use of Generative AI in enterprise environments.

Topic 4

Implementation and Best Practices: For IT managers and system integrators, this part of the exam may address best practices for implementing Generative AI solutions using Dell technologies.

Topic 5

Use Cases and Applications: For business analysts and solution architects, this section might cover practical applications and use cases of Generative AI within Dell's ecosystem.

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2025 Valid D-GAI-F-01 Real Test - The Best EMC Dell GenAI Foundations Achievement - D-GAI-F-01 Vce File

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EMC Dell GenAI Foundations Achievement Sample Questions (Q29-Q34):

NEW QUESTION # 29
What is the purpose of fine-tuning in the generative Al lifecycle?

A. To put text into a prompt to interact with the cloud-based Al system
B. To feed the model a large volume of data from a wide variety of subjects
C. To customize the model for a specific task by feeding it task-specific content
D. To randomize all the statistical weights of the neural network

Answer: C

Explanation:
Customization: Fine-tuning involves adjusting a pretrained model on a smaller dataset relevant to a specific task, enhancing its performance for that particular application.

NEW QUESTION # 30
A legal team is assessing the ethical issues related to Generative Al.
What is a significant ethical issue they should consider?

A. Copyright and legal exposure
B. Enhanced creativity
C. Increased productivity
D. Improved customer service

Answer: A

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 # 31
What impact does bias have in Al training data?

A. It enhances the model's performance uniformly across tasks.
B. It can lead to unfair or incorrect outcomes.
C. It ensures faster processing of data by the model.
D. It simplifies the algorithm's complexity.

Answer: B

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 # 32
What are the potential impacts of Al in business? (Select two)

A. Limiting the use of data analytics
B. Increasing the need for human intervention
C. Improving operational efficiency and enhancing customer experiences
D. Reducing production and operating costs

Answer: C,D

Explanation:
Reducing Costs: AI can automate repetitive and time-consuming tasks, leading to significant cost savings in production and operations. By optimizing resource allocation and minimizing errors, businesses can lower their operating expenses.

NEW QUESTION # 33
What is the first step an organization must take towards developing an Al-based application?

A. Develop a business strategy.
B. Prioritize Al.
C. Address ethical and legal issues.
D. Develop a data strategy.

Answer: D

Explanation:
The first step an organization must take towards developing an AI-based application is to develop a data strategy. The correct answer is option D. Here's an in-depth explanation:
Importance of Data:Data is the foundation of any AI system. Without a well-defined data strategy, AI initiatives are likely to fail because the model's performance heavily depends on the quality and quantity of data.
Components of a Data Strategy:A comprehensive data strategy includes data collection, storage, management, and ensuring data quality. It also involves establishing data governance policies to maintain data integrity and security.
Alignment with Business Goals:The data strategy should align with the organization's business goals to ensure that the AI applications developed are relevant and add value.
References:
Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108-116.
Marr, B. (2017). Data Strategy: How to Profit from a World of Big Data, Analytics and the Internet of Things. Kogan Page Publishers.

NEW QUESTION # 34
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