Year 4,5,6 Beginners - AI Term III End Term Exam

What is Artificial Intelligence (AI) like?

• D. A type of animal that lives in the ocean

• B. A type of fruit that grows on trees

• C. A type of car that runs on electricity

• A. A smart robot or computer that can learn and do things by itself

What is Machine Learning compared to?

• D. Teaching a bird to swim in the ocean

• C. Teaching a cat to bark like a dog

• B. Teaching a dog to fly in the sky

• A. Teaching a computer to learn from its mistakes and experiences

What is Data Mining like?

• C. Finding hidden treasures in a big pile of sand

• B. Finding hidden treasures in a big pile of rocks

• A. Finding hidden treasures in a big pile of information

• D. Finding hidden treasures in a big pile of leaves

What can computers do with Machine Learning?

• D. Make decisions based on the color of the sky

• B. Make random decisions without thinking

• A. Make smart decisions on their own

• C. Make decisions based on the weather

What is the main goal of AI, Machine Learning, and Data Mining?

• A. Helping us understand the world better and making our lives easier

• C. Confusing people with new technologies

• D. Creating problems instead of solutions

• B. Making the world more complicated and difficult

What is the main purpose of Data Mining?

• A. Extracting valuable information from large datasets

• B. Creating new data from scratch

• C. Hiding information within datasets

• D. Ignoring data completely

How does Machine Learning differ from traditional programming?

• A. Machine Learning requires human intervention for every decision

• B. Traditional programming is based on predefined rules, while Machine Learning learns from data

• C. Machine Learning is only used for simple tasks

• D. Traditional programming is more flexible than Machine Learning

What is the primary focus of Artificial Intelligence (AI)?

• A. Mimicking human behavior accurately

• B. Enhancing human capabilities and automating tasks

• C. Creating chaos and confusion in society

• D. Ignoring human needs and preferences

How does Data Mining contribute to decision-making processes?

• A. By randomly selecting data points for analysis

• B. By extracting patterns and insights from large datasets

• C. By hiding valuable information within datasets

• D. By ignoring data that does not fit the desired outcome

What distinguishes Machine Learning from traditional programming methods?

• A. Machine Learning relies on predefined rules, while traditional programming learns from data

• B. Machine Learning requires constant human intervention, unlike traditional programming

• C. Machine Learning is limited to basic tasks, whereas traditional programming is more versatile

• D. Traditional programming is based on trial and error, while Machine Learning follows a structured approach