D-GAI-F-01 Dell Gen AI Foundations Exam focuses on the fundamental and advanced concepts of Artificial Intelligence (AI) and Machine Learning (ML).  PassQuestion provides detailed and comprehensive D-GAI-F-01 Dell Gen AI Foundations Exam Questions to assist you in your preparation for the real exam. By using these resources, you will learn all the important portions of the D-GAI-F-01 Dell GenAI Foundations Achievement syllabus, ensuring that you cover every topic thoroughly. These well-crafted D-GAI-F-01 Dell Gen AI Foundations Exam Questions will significantly enhance your examination ability and offer you the confidence needed to answer all queries in the EMC D-GAI-F-01 Dell GenAI Foundations Achievement actual test. 

D-GAI-F-01 Dell Gen AI Foundations Exam

This assessment focuses on the fundamental concepts of artificial intelligence (AI) and machine learning (ML). Successful completion of this Achievement Assessment not only validates your knowledge and understanding of these concepts but also demonstrates your grasp of deep learning techniques and the broader implications of AI. Moreover, it highlights the scope and necessity of AI in today's business landscape. The questions included in the assessment are designed to gauge your comprehension of how AI can enable human progress, drive innovation, and transform various aspects of business operations. By addressing these questions, you will showcase your ability to understand the profound impact of AI technologies in modern enterprises and their potential to revolutionize industries.

Exam Topics

Topics likely to be covered on this assessment include:
• The impact and scope of artificial intelligence
• Concepts of artificial intelligence and machine learning
• Challenges and the application of artificial intelligence
• Concepts of machine learning, deep learning, and neural network
• Concepts of large language models (LLMs) and the role they play in generative AI.
• Concepts of building AI ecosystem.
• How AI is implemented in a business model and the impact of AI in business.
• Ethics in AI; various ethical issues principles, different types of biases and their impacts and what culture should be developed to reduce bias and increase the trust of humans over machines.

View Online Dell Gen AI Foundations D-GAI-F-01 Free Questions

1. What is a principle thatguides organizations, government, and developers towards the ethical use of Al?
A.Only regulatory agencies should be held accountable for the accuracy, fairness, and use of Al models
B.The value of Al models must only be measured in financial gain.
C.Al models must ensure data privacy and confidentiality.
D.Al models must always agree with the user's point of view.
Answer: C

2. What role does human feedback play in Reinforcement Learning for LLMs?
A.It is used to provide real-time corrections to the model's output.
B.It helps in identifying the model's architecture for optimization.
C.It assists in the physical hardware improvement of the model.
D.It rewards good output and penalizes bad output to improve the model.
Answer: D

3. What is the significance ofparameters in Large Language Models (LLMs)?
A.Parameters are used to parse image, audio, and video data in LLMs.
B.Parameters are used to decrease the size of the LLMs.
C.Parameters are used to increase the size of the LLMs.
D.Parameters are statistical weights inside of the neural network of LLMs.
Answer: D

4. What are the three key patrons involved in supporting the successful progress and formation ofany Al-based application?
A.Customer facing teams, executive team, and facilities team
B.Marketing team, executive team, and data science team
C.Customer facing teams, HR team, and data science team
D.Customer facing teams, executive team, and data science team
Answer: D

5. What is the purpose of adversarial training in the lifecycle of a Large Language Model (LLM)?
A.To make the model more resistant to attacks like prompt injections when it is deployed in production
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: A

6. What strategy can an Al-based company use to develop a continuous improvement culture?
A.Limit the involvement of humans in decision-making processes.
B.Focus on the improvement of human-driven processes.
C.Discourage the use of Al in education systems.
D.Build a small Al community with people of similar backgrounds.
Answer: B

7. What is one of the objectives of Al in the context of digital transformation?
A.To become essential to the success of the digital economy
B.To reduce the need for Internet connectivity
C.To replace all human tasks with automation
D.To eliminate the need for data privacy
Answer: A

8. What impact does bias have in Al training data?
A. It enhances the model's performance uniformly across tasks.
B. It simplifies the algorithm's complexity.
C. It can lead to unfair or incorrect outcomes.
D. It ensures faster processing of data by the model.
Answer: C

9. Whatis the role of a decoder in a GPT model?
A. It takes the output and determines the input.
B. It is used to deploy the model in a production or test environment.
C. It takes the input and determines the appropriate output.
D. It is used to fine-tune the model.
Answer: C