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WorksheetsGen AI Tech Quiz
Total questions: 25
Worksheet time: 19mins
What does “AI” help computers do?
Play music
Think like humans
Store files
Connect to Wi-Fi
Which one is used to talk with an AI system?
Monitor
Prompt
Keyboard driver
Memory
Which of these is a Generative AI tool?
ChatGPT
MS Paint
Calculator
Antivirus
What does ML mostly depend on?
Internet
Data
Keyboard
Monitor
What kind of AI can write stories or poems?
Predictive AI
Generative AI
Security AI
Rule-based AI
Which AI type learns patterns from examples?
Symbolic AI
Machine Learning
Rule-based AI
Hardware AI
What does “Deep Learning” mainly use?
Tables
Neural networks
Flowcharts
Spreadsheets
Which step comes first in an ML project?
Deployment
Problem framing
Inference
Testing
What is an example of AI in daily life?
Face unlock in phones
Keyboard typing
USB storage
Folder creation
Why is ethics important in AI?
To increase speed
To ensure fairness and safety
To reduce cost
To improve graphics
Which sequence shows AI evolution?
Neural → Statistical → Symbolic
Symbolic → Statistical → Neural
Statistical → Symbolic → Neural
Manual → Digital → Cloud
A foundation model is best described as:
A model built for one small task
A pre-trained model adaptable to many tasks
A dataset only
A mobile application
Which model can work with text, images, and audio?
Single-task model
Multimodal model
Rule-based model
Spreadsheet model
What does “fine-tuning” do?
Deletes old data
Improves a pre-trained model for a specific task
Runs prompts
Tests hardware
Which is a correct GenAI application?
Writing product descriptions automatically
Plugging cables
Server installation
Formatting disks
What does “inference” mean in AI systems?
Training the model
Using the model to generate output
Cleaning the dataset
Testing hardware
Why is bias a serious issue in AI?
It reduces model speed
It can cause unfair or incorrect decisions
It increases memory usage
It changes file formats
Which parameter controls how creative AI responses are?
Dataset size
Temperature / Top-P
RAM
Model name
What is the main goal of RAG (Retrieval-Augmented Generation)?
Train a new model
Use external documents to improve answers
Remove data
Increase response speed only
What is a key difference between ML and DL?
ML uses data, DL does not
DL uses deep neural networks
ML only works on images
DL does not require training
Scenario: A college chatbot must answer questions only from the college handbook without retraining the model. Which approach should be used?
Fine-tuning
RAG
Pretraining
Data labeling
Scenario: An AI confidently gives wrong facts in an interview. This problem is known as:
Bias
Hallucination
Overfitting
Token error
Scenario: You want the AI to give more creative and varied answers. What should you increase?
Token limit
Temperature
Dataset size
API version
Scenario: A hospital uses GenAI for patient support. Which topic must be prioritized?
UI design
Ethics, privacy, and security
Model speed
Output length
Scenario: Two students enter the same prompt but receive slightly different answers. What is the most likely reason?
Model bias
Sampling parameters (Top-P / Temperature)
Hardware difference
Dataset deletion
