KoreaDumps의EMC인증 D-GAI-F-01시험덤프 공부가이드는 시장에서 가장 최신버전이자 최고의 품질을 지닌 시험공부자료입니다.IT업계에 종사중이라면 IT자격증취득을 승진이나 연봉협상의 수단으로 간주하고 자격증취득을 공을 들여야 합니다.회사다니면서 공부까지 하려면 몸이 힘들어 스트레스가 많이 쌓인다는것을 헤아려주는KoreaDumps가 IT인증자격증에 도전하는데 성공하도록EMC인증 D-GAI-F-01시험대비덤프를 제공해드립니다.
| 주제 | 소개 |
|---|---|
| 주제 1 |
|
| 주제 2 |
|
| 주제 3 |
|
| 주제 4 |
|
| 주제 5 |
|
>> EMC D-GAI-F-01시험대비 덤프 최신 데모 <<
KoreaDumps를 선택함으로, KoreaDumps는 여러분EMC인증D-GAI-F-01시험을 패스할 수 있도록 보장하고,만약 시험실패시 KoreaDumps에서는 덤프비용전액환불을 약속합니다.
질문 # 45
A healthcare company wants to use Al to assist in diagnosing diseases by analyzing medical images.
Which of the following is an application of Generative Al in this field?
정답：B
설명：
Generative AI has a significant application in the healthcare field, particularly in the analysis of medical images for diagnosis. Generative models can be trained to recognize patterns and anomalies in medical images, such as X-rays, MRIs, and CT scans, which can assist healthcare professionals in diagnosing diseases more accurately and efficiently.
The Official Dell GenAI Foundations Achievement document likely covers the scope and impact of AI in various industries, including healthcare. It would discuss how generative AI, through its advanced algorithms, can generate new data instances that mimic real data, which is particularly useful in medical imaging12. These generative models have the potential to help with anomaly detection, image-to-image translation, denoising, and MRI reconstruction, among other applications34.
Creating social media posts (Option OA), inventory management (Option OB), and fraud detection (Option OD) are not directly related to the analysis of medical images for diagnosis. Therefore, the correct answer is C.
Analyzing medical images for diagnosis, as it is the application of Generative AI that aligns with the context of the question.
질문 # 46
In a Generative Adversarial Network (GAN), you have a network that evaluates whether the data generated by the other network is real or fake. What is this evaluating network called?
정답：C
질문 # 47
In a Generative Adversarial Network (GAN), you have a network that evaluates whether the data generated by the other network is real or fake. What is this evaluating network called?
정답：C
설명：
In a Generative Adversarial Network (GAN), the network that evaluates whether the data generated by the other network is real or fake is called the Discriminator. The GAN architecture consists of two main components: the Generator and the Discriminator. The Generator's role is to create data that is similar to the real data, while the Discriminator's role is to evaluate the data and determine if it is real (from the actual dataset) or fake (created by the Generator). The Discriminator learns to make this distinction through training, where it is presented with both real and generated data1.
This setup creates a competitive environment where the Generator improves its ability to create realistic data, and the Discriminator improves its ability to detect fakes. This adversarial process enhances the quality of the generated data over time, making GANs powerful tools for generating new data instances that are indistinguishable from real data1.
The terms "Decoder" (Option OB) and "Encoder" (Option OD) are associated with different types of neural network architectures, such as autoencoders, and do not describe the evaluating network in a GAN. The
"Generator" (Option OA) is the part of the GAN that creates data, not the part that evaluates it. Therefore, the correct answer is C. Discriminator, as it is the network within a GAN that is responsible for evaluating the authenticity of the generated data1.
질문 # 48
A startup is planning to leverage Generative Al to enhance its business.
What should be their first step in developing a Generative Al business strategy?
정답：C
설명：
The first step for a startup planning to leverage Generative AI to enhance its business is to identify opportunities where this technology can be applied to create value. This involves understanding the business's goals and objectives and recognizing how Generative AI can complement existing workflows, enhance creative processes, and drive the company closer to achieving its strategic priorities1.
Identifying opportunities means assessing where Generative AI can have the most significant impact, whether it's in improving customer experiences, optimizing processes, or fostering innovation. It sets the foundation for a successful Generative AI strategy by aligning the technology's capabilities with the business's needs and goals1.
Investing in talent (Option OA), risk management (Option OB), and data management (Option OD) are also important steps in developing a Generative AI strategy. However, these steps typically follow after the opportunities have been identified. A clear understanding of the opportunities will guide the startup in making informed decisions about talent acquisition, risk assessment, and data governance necessary to support the chosen Generative AI applications23. Therefore, the correct first step is C. Identifying opportunities.
질문 # 49
A business wants to protect user data while using Generative Al.
What should they prioritize?
정답：C
설명：
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.
질문 # 50
......
KoreaDumps의EMC인증 D-GAI-F-01시험덤프 공부가이드는 시장에서 가장 최신버전이자 최고의 품질을 지닌 시험공부자료입니다.IT업계에 종사중이라면 IT자격증취득을 승진이나 연봉협상의 수단으로 간주하고 자격증취득을 공을 들여야 합니다.회사다니면서 공부까지 하려면 몸이 힘들어 스트레스가 많이 쌓인다는것을 헤아려주는KoreaDumps가 IT인증자격증에 도전하는데 성공하도록EMC인증 D-GAI-F-01시험대비덤프를 제공해드립니다.
D-GAI-F-01시험대비 덤프데모문제 다운: https://www.koreadumps.com/D-GAI-F-01_exam-braindumps.html