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Computer & AI · Self Assessment

Practice Test: Generative AI & Prompt Engineering

A combined 100-mark paper covering "Generative AI: Images, Text and Where the Line Is" and "Prompt Engineering: Getting Better Results From AI Tools" — 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 generative AI?Basic2 pts

A. AI that only sorts existing files

B. AI that only deletes data

C. AI that creates new content such as text, images, audio, or video

D. AI that repairs broken hardware

2.How does generative AI produce new content?Basic2 pts

A. By copying and pasting existing files exactly

B. By learning patterns from large datasets and generating new material that follows them

C. By asking a human to type the answer

D. By rolling dice

3.What is a diffusion model commonly used for?Basic2 pts

A. Sorting emails into folders

B. Compressing video files

C. Encrypting passwords

D. Generating images by gradually removing noise from random data

4.What is a common concern raised about generative AI and copyright?Basic2 pts

A. Who owns content that AI generates, especially when trained on others' work

B. How much electricity a laptop uses

C. The colour of the AI company's logo

D. The price of internet data plans

5.What is "synthetic media"?Basic2 pts

A. Music recorded live in a studio only

B. A type of physical microphone

C. Content that has been created or manipulated using AI

D. A category of computer hardware

6.Which of these is an example of a generative AI tool?Basic2 pts

A. A basic calculator app

B. An AI image generator that creates pictures from text descriptions

C. A basic spreadsheet

D. A digital clock

7.Besides images, what else can generative AI create?Basic2 pts

A. Text, audio, and video

B. Nothing else at all

C. Only physical objects

D. Only spreadsheets

8.What is prompt engineering?Basic2 pts

A. Building physical computer parts

B. Repairing broken AI servers

C. Installing software updates

D. Crafting effective instructions to get better results from an AI system

9.Why do clear, specific prompts tend to work better than vague ones?Basic2 pts

A. Vague prompts are always faster to process

B. Specific prompts reduce ambiguity about what the user actually wants

C. Vague prompts cost more to run

D. Specific prompts turn off the AI

10.What is "few-shot prompting"?Basic2 pts

A. Asking the AI the same question many times

B. Using extremely short, one-word prompts only

C. Giving the AI a few examples of the desired output before asking it to respond

D. Turning off the AI after a few tries

11.What is the benefit of iterating on a prompt?Basic2 pts

A. It lets the user refine and improve the AI's response over multiple attempts

B. It permanently deletes the AI's memory

C. It changes the AI's hardware

D. It has no effect on the output

12.What does asking an AI to "act as an expert historian" do to a prompt?Basic2 pts

A. Nothing, roles have no effect on AI output

B. It sets a role or persona that shapes the tone and content of the response

C. It deletes the conversation

D. It switches the AI to a different language permanently

13.What is a common problem with vague, ambiguous prompts?Basic2 pts

A. They always run faster

B. They are illegal to use

C. They automatically crash the AI

D. They can lead to outputs that miss what the user actually wanted

14.Providing context in a prompt (e.g. audience, purpose, format) generally helps because it:Basic2 pts

A. Gives the AI more information to shape a relevant response

B. Makes the AI forget the question

C. Slows the AI down with no benefit

D. Is only useful for image generation

15.Why might someone break a complex request into smaller, step-by-step prompt instructions?Basic2 pts

A. To make the AI ignore the request

B. Because AI cannot handle more than one sentence

C. To help the AI follow the reasoning and produce a more accurate, structured result

D. Because shorter prompts are always against the rules

Section B — True / False

20 marks

10 questions · 2 marks each.

16.Generative AI can create new text, images, audio, and video.Intermediate2 pts

True

False

17.Generative AI can only analyse existing data and can never create anything new.Intermediate2 pts

True

False

18.Diffusion models are one technique used to generate images with AI.Intermediate2 pts

True

False

19.All AI-generated images are completely free of copyright or ownership questions.Intermediate2 pts

True

False

20.Prompt engineering is about crafting effective inputs to get better results from AI.Intermediate2 pts

True

False

21.Vague prompts generally produce more accurate, useful results than specific ones.Intermediate2 pts

True

False

22.Giving an AI examples of the output you want before it responds is called few-shot prompting.Intermediate2 pts

True

False

23.Iterating and refining a prompt can improve the quality of the AI's response.Intermediate2 pts

True

False

24.Generative AI models learn patterns from large datasets of existing content.Intermediate2 pts

True

False

25.Asking an AI to adopt a specific role or persona has no effect on the style of its response.Intermediate2 pts

True

False

Section C — Fill in the Blank

20 marks

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

26.______ AI refers to AI systems that create new content rather than just analysing existing data.Intermediate2 pts

27.Generative AI models learn patterns from large ______ of existing content.Intermediate2 pts

28.A ______ model is a common technique used to generate images by gradually removing noise.Intermediate2 pts

29.Content created or manipulated using AI, such as fake images or audio, is known as ______ media.Intermediate2 pts

30.______ is the practice of crafting effective instructions to get better results from an AI system.Intermediate2 pts

31.Giving an AI a few examples of the desired output before asking it to respond is called ______-shot prompting.Intermediate2 pts

32.A ______ prompt clearly states what the user wants, reducing ambiguity.Intermediate2 pts

33.Refining a prompt based on the AI's previous response is called ______ the prompt.Intermediate2 pts

34.Asking an AI to respond as a particular character or expert is known as ______ prompting.Intermediate2 pts

35.One ongoing debate around generative AI concerns ______ and who owns AI-created content.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 Generative AI/Prompt Engineering term to its definition.Advanced10 pts

Column A

Generative AI

Diffusion Model

Synthetic Media

Prompt Engineering

Few-Shot Prompting

Column B

A technique that generates images by gradually removing noise

Content created or manipulated using AI

The practice of crafting effective instructions to get better AI results

Giving an AI a few examples before asking it to respond

AI that creates new content such as text, images, or audio

Section E — Short Answer

20 marks

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

41.What is generative AI?Advanced4 pts

42.Give an example of generative AI in use.Advanced4 pts

43.Why does prompt engineering matter when working with AI tools?Advanced4 pts

44.What is few-shot prompting?Advanced4 pts

45.Name an ethical or legal concern raised by generative AI.Advanced4 pts

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