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Computer & AI · Self Assessment

Practice Test: What Is AI & Machine Learning?

A combined 100-mark paper covering "What Is Artificial Intelligence and How Does It Work?" and "Machine Learning Explained" — multiple choice, true/false, fill-in-the-blank, column matching, and short answer, all auto-graded instantly.

EDUSAMBAM Editorial Team · 45 questions · 100 marks · Instant self-assessment

Questions

100

Marks

Sections

100%

Auto-Graded

Section	Questions	Marks Each	Total
A — Multiple Choice	15	2	30
B — True / False	10	2	20
C — Fill in the Blank	10	2	20
D — Column Matching	5 pairs	2	10
E — Short Answer	5	4	20
Total	45	—	100

Fill-in-the-blank and short-answer questions are checked automatically against accepted answers — exact wording doesn't need to match, but the key term should be present.

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Section A — Multiple Choice

30 marks

15 questions · 2 marks each.

1.What is artificial intelligence (AI)?Basic2 pts

A. A type of computer hardware

B. The internet as a whole

C. Machines performing tasks that normally need human intelligence

D. A brand of computer chip

2.What is "narrow AI"?Basic2 pts

A. AI that can do absolutely anything a human can

B. AI designed to do one specific task well

C. A very small computer

D. AI that has emotions

3.What was the Turing Test designed to explore?Basic2 pts

A. Whether a machine's responses can be told apart from a human's

B. How fast a computer can process data

C. How much memory a computer has

D. How many programming languages a machine knows

4.Which of these is a real-world example of AI in everyday use?Basic2 pts

A. A basic calculator

B. A plain text file

C. A voice assistant like Siri or Alexa

D. A USB cable

5.What is an algorithm?Basic2 pts

A. A physical computer part

B. A type of internet connection

C. A brand of AI software

D. A step-by-step set of instructions for solving a problem

6.How do most modern AI systems arrive at their outputs?Basic2 pts

A. By guessing randomly

B. By recognising patterns learned from data

C. By asking a human for every answer

D. By using a dictionary only

7.Self-driving cars, recommendation feeds, and spam filters are all examples of what?Basic2 pts

A. AI applications in everyday life

B. Types of computer hardware

C. Internet protocols

D. Operating systems

8.What is machine learning?Basic2 pts

A. Manually programming every possible outcome

B. A field of AI where systems learn patterns from data rather than fixed rules

C. Repairing a computer's memory chips

D. A type of internet browser

9.What is "training data" used for?Basic2 pts

A. Storing finished software

B. Connecting a device to Wi-Fi

C. Teaching a machine learning model to recognise patterns

D. Cooling down a computer's processor

10.In supervised learning, what does the training data include?Basic2 pts

A. Nothing but random noise

B. Only images, never text

C. Data with no correct answers attached

D. Labelled examples that show the correct answer

11.What does unsupervised learning do?Basic2 pts

A. Requires a human to label every example first

B. Finds patterns or groupings in data that has no labels

C. Only works with numbers, never words

D. Repairs bugs in existing software

12.What is reinforcement learning built around?Basic2 pts

A. An agent learning through rewards and penalties for its actions

B. Copying a fixed answer key exactly

C. Deleting incorrect training examples

D. Sorting files alphabetically

13.What is a neural network loosely modelled on?Basic2 pts

A. A car engine

B. A filing cabinet

C. The structure of neurons in the human brain

D. A spreadsheet

14.What is deep learning?Basic2 pts

A. Learning that only happens overnight

B. Machine learning using neural networks with many layers

C. A method for repairing broken hard drives

D. A synonym for the internet

15.How is machine learning generally related to AI?Basic2 pts

A. They are unrelated fields

B. AI is a small part of machine learning

C. Machine learning replaced AI entirely

D. Machine learning is a subset, or branch, of AI

Section B — True / False

20 marks

10 questions · 2 marks each.

16.AI systems can perform tasks that typically require human intelligence, such as recognising speech or images.Intermediate2 pts

True

False

17.Every AI system in use today is self-aware and conscious.Intermediate2 pts

True

False

18.Machine learning is considered a subset of artificial intelligence.Intermediate2 pts

True

False

19.In supervised learning, the training data includes labels showing the correct answer.Intermediate2 pts

True

False

20.Unsupervised learning requires every piece of training data to be labelled first.Intermediate2 pts

True

False

21.Reinforcement learning rewards an agent for good decisions and penalises poor ones.Intermediate2 pts

True

False

22.More and better quality training data generally helps a machine learning model perform better.Intermediate2 pts

True

False

23.Neural networks have no connection at all to how the human brain works.Intermediate2 pts

True

False

24.Deep learning uses neural networks with many layers to learn complex patterns.Intermediate2 pts

True

False

25.Narrow AI is designed to perform one specific task well, rather than everything a human can do.Intermediate2 pts

True

False

Section C — Fill in the Blank

20 marks

10 questions · 2 marks each. Type the missing word or term.

26.______ is the ability of machines to perform tasks that normally require human intelligence.Intermediate2 pts

27.A(n) ______ is a step-by-step set of instructions a computer follows to solve a problem.Intermediate2 pts

28.Machine learning is a ______ of artificial intelligence.Intermediate2 pts

29.The data used to teach a machine learning model is called ______ data.Intermediate2 pts

30.In supervised learning, each example in the training data is tagged with the correct ______.Intermediate2 pts

31.______ learning finds patterns or groupings in data that has no labels.Intermediate2 pts

32.In reinforcement learning, an agent learns by receiving ______s and penalties for its actions.Intermediate2 pts

33.A ______ network is a layered system of nodes loosely modelled on the human brain.Intermediate2 pts

34.______ learning uses neural networks with many layers to learn complex patterns.Intermediate2 pts

35.When a model performs well on training data but poorly on new, unseen data, this is called ______.Intermediate2 pts

Section D — Column Matching

10 marks

Use the ▲ ▼ buttons to reorder Column B until each row lines up with the correct term in Column A. 2 marks per correct pair.

36–40.Match each AI/ML term to its definition.Advanced10 pts

Column A

Algorithm

Supervised Learning

Unsupervised Learning

Reinforcement Learning

Neural Network

Column B

Learning from labelled data with known correct answers

Finding patterns in data that has no labels

Learning through rewards and penalties for actions taken

A layered system of nodes loosely modelled on the brain

A step-by-step set of instructions for solving a problem

Section E — Short Answer

20 marks

5 questions · 4 marks each. Answer in one or two sentences.

41.What is the difference between artificial intelligence and machine learning?Advanced4 pts

42.Give an example of a real-world application of AI.Advanced4 pts

43.What is the key difference between supervised and unsupervised learning?Advanced4 pts

44.Why is training data important for a machine learning model?Advanced4 pts

45.What is deep learning, and how does it relate to neural networks?Advanced4 pts

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