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Computer & AI · Self Assessment

Practice Test: What Is an LLM & AI Ethics?

A combined 100-mark paper covering "What Is a Large Language Model? How Chatbots Actually Work" and "AI Ethics: Bias, Privacy and Misinformation 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 a large language model (LLM)?Basic2 pts

A. A type of computer monitor

B. A physical storage device

C. An AI model trained on huge amounts of text to generate human-like language

D. A brand of internet router

2.How does an LLM generate a response?Basic2 pts

A. By looking up the exact answer in a fixed dictionary

B. By predicting the most likely next word or token in a sequence

C. By randomly selecting letters

D. By connecting directly to a human operator

3.What are LLMs typically trained on?Basic2 pts

A. Massive amounts of text data

B. Only numbers

C. A single book

D. Nothing — they are pre-programmed with fixed rules

4.Which of the following is powered by an LLM?Basic2 pts

A. A basic pocket calculator

B. A wall clock

C. A plain text editor

D. An AI chatbot such as ChatGPT or Claude

5.What is a "prompt" in the context of an LLM?Basic2 pts

A. A hardware error message

B. The input or instruction a user gives the AI

C. A type of computer chip

D. The company that built the model

6.What is an AI "hallucination"?Basic2 pts

A. When an AI system shuts down unexpectedly

B. A visual glitch on the screen

C. When an AI confidently states something false or made up

D. A type of computer virus

7.What is a model's "context window"?Basic2 pts

A. The amount of text the model can consider at once

B. The physical screen the AI is displayed on

C. The country where the servers are located

D. The price of using the AI

8.What does AI "bias" refer to?Basic2 pts

A. An AI system running slowly

B. Systematic unfairness that favours or disadvantages particular groups

C. A model using too much memory

D. An AI that only works in one language

9.Where does bias in an AI system usually come from?Basic2 pts

A. Random chance with no real cause

B. The colour of the computer casing

C. The speed of the internet connection

D. Patterns and imbalances present in the training data

10.What is a "deepfake"?Basic2 pts

A. A realistic fake image, audio, or video generated using AI

B. A very deep folder on a computer

C. A type of encryption

D. A rare computer hardware fault

11.Why can AI-generated content contribute to misinformation?Basic2 pts

A. AI always labels its content as false

B. AI content is never shared online

C. It can produce convincing but false or misleading text, images, or video

D. It only works on approved government websites

12.What is a common privacy concern with AI systems?Basic2 pts

A. AI systems never use any data

B. How personal data is collected, stored, and used

C. AI systems only run on paper

D. The colour scheme of an app

13.What does "transparency" mean in the context of AI ethics?Basic2 pts

A. Being open about how an AI system reaches its decisions

B. Making the AI's screen see-through

C. Hiding all details about how an AI works

D. Using only open-source hardware

14.What does "accountability" mean in AI ethics?Basic2 pts

A. How many accounts a user has

B. The billing system for AI tools

C. How much storage an AI model uses

D. Who is responsible when an AI system makes a mistake or causes harm

15.Why is it important to fact-check information produced by an LLM?Basic2 pts

A. LLMs are legally required to be checked by a court

B. LLMs can produce confident-sounding but incorrect statements

C. LLMs cannot generate any text at all

D. Fact-checking is only needed for images

Section B — True / False

20 marks

10 questions · 2 marks each.

16.LLMs generate text by predicting the most likely next word or token in a sequence.Intermediate2 pts

True

False

17.LLMs always produce factually correct answers.Intermediate2 pts

True

False

18.A hallucination is when an AI confidently produces false or made-up information.Intermediate2 pts

True

False

19.Every LLM has an unlimited context window that can hold any amount of text.Intermediate2 pts

True

False

20.AI systems can inherit and reproduce biases present in their training data.Intermediate2 pts

True

False

21.Deepfakes are always immediately obvious and easy to detect.Intermediate2 pts

True

False

22.It is good practice to fact-check important information generated by an AI.Intermediate2 pts

True

False

23.AI systems never require any personal data to function.Intermediate2 pts

True

False

24.Being transparent about how an AI system reaches decisions helps build public trust.Intermediate2 pts

True

False

25.Simply using a larger training dataset always guarantees a completely unbiased AI system.Intermediate2 pts

True

False

Section C — Fill in the Blank

20 marks

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

26.A large language model is trained on huge amounts of ______ data.Intermediate2 pts

27.LLMs generate responses by predicting the next ______ in a sequence.Intermediate2 pts

28.The instruction or question a user gives an AI system is called a ______.Intermediate2 pts

29.When an AI confidently produces false information, this is called a(n) ______.Intermediate2 pts

30.The amount of text an LLM can consider at one time is called its ______ window.Intermediate2 pts

31.______ in AI refers to systematic unfairness that favours or disadvantages particular groups.Intermediate2 pts

32.Realistic fake videos or images created using AI are called ______s.Intermediate2 pts

33.______ is the concern around how AI systems collect, store, and use personal data.Intermediate2 pts

34.______ in AI means being open about how a system reaches its decisions.Intermediate2 pts

35.______ refers to who is responsible when an AI system makes a mistake or causes harm.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 LLM/AI Ethics term to its definition.Advanced10 pts

Column A

Large Language Model

Hallucination

Prompt

Bias

Deepfake

Column B

Confident but factually incorrect AI output

The input or instruction given to an AI system

Unfair favouring or disadvantaging of particular groups in AI outputs

Realistic fake image, audio, or video generated using AI

An AI model trained on vast amounts of text to generate human-like language

Section E — Short Answer

20 marks

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

41.What is a large language model?Advanced4 pts

42.What is an AI "hallucination"?Advanced4 pts

43.Why can AI systems produce biased outcomes?Advanced4 pts

44.Give an example of a privacy concern related to AI.Advanced4 pts

45.Why is it important to fact-check content generated by AI?Advanced4 pts

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