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Question 1: What term describes computer systems that learn, solve problems, and make decisions like humans?
- Artificial Intelligence ✓ correct
- Cloud Computing
- Data Science
- Cybersecurity
Explanation: Artificial Intelligence refers to computer systems capable of performing tasks like learning, problem-solving, and decision-making that typically require human intelligence.
Question 2: Which subfield of AI focuses on creating algorithms that improve performance automatically by learning from data?
- Deep Learning
- Natural Language Processing
- Pipeline Prompting
- Machine Learning ✓ correct
Explanation: Machine Learning is a subfield of AI focused on creating algorithms that automatically enhance performance on a task by learning from data.
Question 3: What type of AI system is specifically designed to create new content like text, music, or images?
- Supervised AI
- Analytical AI
- Generative AI ✓ correct
- Optimizing AI
Explanation: Generative AI is a type of AI system that can create new content or data, such as text, music, images, or videos, that it was not explicitly programmed to produce.
Question 4: Which branch of AI enables computers to comprehend, decipher, and produce human language?
- Reinforcement Learning
- Deep Learning
- Natural Language Processing ✓ correct
- Supervised Learning
Explanation: Natural Language Processing (NLP) is a branch of AI that studies how computers and human language interact, enabling computers to comprehend, decipher, and produce human language.
Question 5: Which of these is a subfield of machine learning that uses artificial neural networks?
- Pipeline prompting
- Deep learning ✓ correct
- Supervised learning
- Unsupervised learning
Explanation: Deep learning is a subfield of machine learning that uses artificial neural networks to automatically learn increasingly abstract and complex data representations.
Question 6: Which of the following is NOT one of the three main types of machine learning algorithms?
- Supervised learning
- Deep learning ✓ correct
- Reinforcement learning
- Unsupervised learning
Explanation: The three main types of machine learning algorithms are supervised learning, unsupervised learning, and reinforcement learning. Deep learning is a subfield of machine learning.
Question 7: What is the primary purpose of 'pipeline AI prompting'?
- Training new neural networks
- Reducing hardware costs
- Dividing tasks into manageable steps ✓ correct
- Automating data collection
Explanation: Pipeline AI prompting involves dividing a single task into more manageable steps to help large language models produce accurate and consistent results.
Question 8: Which of these is a common functional category for AI tools?
- Network routing
- Physical assembly
- Creating ✓ correct
- Hardware manufacturing
Explanation: AI tools are typically classified by their primary function, which includes creating new content, interpreting complex data sets, or optimizing existing workflows to improve overall efficiency and productivity.
Question 9: What is a primary limitation of AI models regarding their output accuracy?
- Lack of electricity
- Biased training data ✓ correct
- Slow internet speeds
- Inability to use keyboards
Explanation: A primary limitation of AI is that the underlying data used to train models may be biased, which can negatively affect the accuracy of outputs like text-to-image results.
Question 10: How can a user best surface implied context in an AI prompt?
- Repeating the request
- Avoiding technical terms
- Providing specific details ✓ correct
- Using shorter sentences
Explanation: To surface implied context in prompts, users should provide specific details, such as mentioning a friend is vegetarian when asking for restaurant recommendations.