EMC D-GAI-F-01 LATEST DUMPS–AFFORDABLE PRICE AND FREE UPDATES

EMC D-GAI-F-01 Latest Dumps–Affordable Price and Free Updates

EMC D-GAI-F-01 Latest Dumps–Affordable Price and Free Updates

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EMC Dell GenAI Foundations Achievement Sample Questions (Q27-Q32):

NEW QUESTION # 27
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?

  • A. Generator
  • B. Decoder
  • C. Discriminator
  • D. Encoder

Answer: C


NEW QUESTION # 28
A company is considering using Generative Al in its operations.
Which of the following is a benefit of using Generative Al?

  • A. Higher operational costs
  • B. Increased manual labor
  • C. Enhanced customer experience
  • D. Decreased innovation

Answer: C

Explanation:
Generative AI has the potential to significantly enhance the customer experience. It can be used to personalize interactions, automate responses, and provide more engaging content, which can lead to a more satisfying and tailored experience for customers.
The Official Dell GenAI Foundations Achievement document would likely highlight the importance of customer experience in the context of AI. It would discuss how Generative AI can be leveraged to create more personalized and engaging interactions, which are key components of a positive customer experience1.
Additionally, Generative AI can help businesses understand and predict customer needs and preferences, enabling them to offer better service and support23.
Decreased innovation (Option OA), higher operational costs (Option OB), and increased manual labor (Option OD) are not benefits of using Generative AI. In fact, Generative AI is often associated with fostering greater innovation, reducing operational costs, and automating tasks that would otherwise require manual effort.
Therefore, the correct answer is C. Enhanced customer experience, as it is a recognized benefit of implementing Generative AI in business operations.


NEW QUESTION # 29
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?

  • A. Identifying opportunities
  • B. Investing in talent
  • C. Risk management
  • D. Data management

Answer: A

Explanation:
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.


NEW QUESTION # 30
Why should artificial intelligence developers always take inputs from diverse sources?

  • A. To investigate the model requirements properly
  • B. To cover all possible cases that the model should handle
  • C. To determine where and how the dataset is produced
  • D. To perform exploratory data analysis

Answer: B

Explanation:
Diverse Data Sources: Utilizing inputs from diverse sources ensures the AI model is exposed to a wide range of scenarios, dialects, and contexts. This diversity helps the model generalize better and avoid biases that could occur if the data were too homogeneous.


NEW QUESTION # 31
What is the first step an organization must take towards developing an Al-based application?

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

Answer: A

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 # 32
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