Class 10 Artificial Intelligence Quiz

What is the main focus of Machine Learning?

• The main focus of Machine Learning is to make computers slower and less efficient

• The main focus of Machine Learning is to teach humans how to code

• The main focus of Machine Learning is to predict the future with 100% accuracy

• The main focus of Machine Learning is to enable computers to learn from data and improve their performance over time without being explicitly programmed.

Answer explanation

The main focus of Machine Learning is to enable computers to learn from data and improve their performance over time without being explicitly programmed.

Which branch of AI deals with the interaction between computers and human language?

• Human-Computer Linguistics (HCL)

• Computer Language Interaction (CLI)

• Natural Language Processing (NLP)

• Artificial Language Understanding (ALU)

What is the primary goal of Computer Vision?

• Designing new computer hardware

• Predicting stock market trends

• Creating music and sound effects

• Interpreting and understanding the visual world

What are the different stages of the project cycle in AI?

• Data analysis, model testing, model deployment

• Problem definition, data collection, data preprocessing, model training, model evaluation, and deployment

• Data cleaning, model selection, model implementation

• Data visualization, model building, model validation

Why are entrepreneur skills important in the field of AI?

• AI technology does not require creativity, problem-solving, or risk-taking

• Entrepreneur skills are only important in traditional business, not in AI

• Entrepreneur skills are not important in the field of AI

• Creativity, problem-solving, and risk-taking are essential for innovation and development in AI technology.

What are the types of Machine Learning?

• Basic learning, Advanced learning, Expert learning

• Active learning, Passive learning, Aggressive learning

• Linear learning, Nonlinear learning, Circular learning

• Supervised learning, Unsupervised learning, Reinforcement learning

What are the key components of Natural Language Processing?

• Algebra, Geometry, Calculus, Trigonometry

• History, Geography, Economics, Political Science

• Chemistry, Biology, Physics, Astronomy

• Syntax, Semantics, Pragmatics, Discourse, Morphology, Phonology, and Lexical Analysis

How does Computer Vision differ from traditional image processing?

• Computer Vision only works with still images, while traditional image processing can handle video.

• Computer Vision is only used for medical imaging, while traditional image processing is used in various industries.

• Computer Vision involves high-level understanding, while traditional image processing focuses on visual enhancement.

• Computer Vision uses black and white images, while traditional image processing uses color images.

Explain the concept of data labeling in the context of AI projects.

• Data labeling is the process of identifying and tagging data with relevant labels or annotations to make it usable for training AI models.

• Data labeling is the process of randomly assigning irrelevant labels to the data to confuse AI models.

• Data labeling is the process of encrypting the data to make it inaccessible for AI models.

• Data labeling is the process of removing all labels from the data to make it more challenging for AI models.

What are the key characteristics of a successful AI entrepreneur?

• Excellent cooking skills, good sense of humor, and love for animals

• Proficiency in ancient languages, expertise in underwater basket weaving, and passion for extreme sports

• Ability to juggle while riding a unicycle, talent for playing the accordion, and knowledge of quantum physics

• Strong technical skills, creativity, problem-solving abilities, business acumen, and a deep understanding of AI technologies