D-GAI-F-01최신버전덤프공부문제, D-GAI-F-01최신버전시험자료

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EMC D-GAI-F-01 시험요강:

주제	소개
주제 1	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.
주제 2	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.
주제 3	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.
주제 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.
주제 5	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.

>> D-GAI-F-01최신버전 덤프공부문제 <<

D-GAI-F-01최신버전 덤프공부문제 퍼펙트한 덤프로 시험패스하여 자격증을 취득하기

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최신 Generative AI D-GAI-F-01 무료샘플문제 (Q38-Q43):

질문 # 38
Whatare the three key patrons involved in supporting the successful progress and formation ofany Al-based application?

A. Customer facing teams, executive team, and data science team
B. Customer facing teams, executive team, and facilities team
C. Customer facing teams, HR team, and data science team
D. Marketing team, executive team, and data science team

정답：A

설명：
Customer Facing Teams: These teams are critical in understanding and defining the requirements of the AI-based application from the end-user perspective. They gather insights on customer needs, pain points, and desired outcomes, which are essential for designing a user-centric AI solution.

질문 # 39
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 simplifies the algorithm's complexity.
D. It can lead to unfair or incorrect outcomes.

정답：D

설명：
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.

질문 # 40
A financial institution wants to use a smaller, highly specialized model for its finance tasks.
Which model should they consider?

A. Bloomberg GPT
B. GPT-3
C. BERT
D. GPT-4

정답：A

설명：
For a financial institution looking to use a smaller, highly specialized model for finance tasks, Bloomberg GPT would be the most suitable choice. This model is tailored specifically for financial data and tasks, making it ideal for an institution that requires precise and specialized capabilities in the financial domain.
While BERT and GPT-3 are powerful models, they are more general-purpose. GPT-4, being the latest among the options, is also a generalist model but with a larger scale, which might not be necessary for specialized tasks. Therefore, Option C: Bloomberg GPT is the recommended model to consider for specialized finance tasks.

질문 # 41
A tech startup is developing a chatbot that can generate human-like text to interact with its users.
What is the primary function of the Large Language Models (LLMs) they might use?

A. To encrypt information
B. To store data
C. To generate human-like text
D. To manage databases

정답：C

설명：
Large Language Models (LLMs), such as GPT-4, are designed to understand and generate human-like text.
They are trained on vast amounts of text data, which enables them to produce responses that can mimic human writing styles and conversation patterns. The primary function of LLMs in the context of a chatbot is to interact with users by generating text that is coherent, contextually relevant, and engaging.
The Dell GenAI Foundations Achievement document outlines the role of LLMs in generative AI, which includes their ability to generate text that resembles human language1. This is essential for chatbots, as they are intended to provide a conversational experience that is as natural and seamless as possible.
Storing data (Option OA), encrypting information (Option OB), and managing databases (Option OD) are not the primary functions of LLMs. While LLMs may be used in conjunction with systems that perform these tasks, their core capability lies in text generation, making Option OC the correct answer.

질문 # 42
What is feature-based transfer learning?

A. Enhancing the model's features with real-time data
B. Selecting specific features of a model to keep while removing others
C. Transferring the learning process to a new model
D. Training a model on entirely new features

정답：B

설명：
Feature-based transfer learning involves leveraging certain features learned by a pre-trained model and adapting them to a new task. Here's a detailed explanation:
Feature Selection:This process involves identifying and selecting specific features or layers from a pre-trained model that are relevant to the new task while discarding others that are not.
Adaptation:The selected features are then fine-tuned or re-trained on the new dataset, allowing the model to adapt to the new task with improved performance.
Efficiency:This approach is computationally efficient because it reuses existing features, reducing the amount of data and time needed for training compared to starting from scratch.
References:
Pan, S. J., & Yang, Q. (2010). A Survey on Transfer Learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345-1359.
Yosinski, J., Clune, J., Bengio, Y., & Lipson, H. (2014). How Transferable Are Features in Deep Neural Networks? In Advances in Neural Information Processing Systems.

질문 # 43
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EMC인증 D-GAI-F-01 시험은 최근 제일 인기있는 인증시험입니다. IT업계에 종사하시는 분들은 자격증취득으로 자신의 가치를 업그레이드할수 있습니다. EMC인증 D-GAI-F-01 시험은 유용한 IT자격증을 취득할수 있는 시험중의 한과목입니다. Itcertkr에서 제공해드리는EMC인증 D-GAI-F-01 덤프는 여러분들이 한방에 시험에서 통과하도록 도와드립니다. 덤프를 공부하는 과정은 IT지식을 더 많이 배워가는 과정입니다. 시험대비뿐만아니라 많은 지식을 배워드릴수 있는 덤프를Itcertkr에서 제공해드립니다. Itcertkr덤프는 선택하시면 성공을 선택한것입니다.

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