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WorksheetsAI and Machine Learning Quiz
Total questions: 20
Worksheet time: 10mins
Which approach creates tomorrow’s playlist by learning what you skip and like?
Manual curation
Rule-based programming
Machine learning
Random shuffle
Why might a purely rule-based chatbot struggle with new slang?
It forgets old rules
It has no internet access
It cannot update rules on its own
It runs too slowly
Machine learning is best described as a system that …
Sends email automatically
Stores large files
Learns patterns from data
Plays videos in HD
Deploying AI “on the edge” usually means running the model …
In a distant cloud server
Directly on a local device
In a data warehouse
On a backup tape drive
Which device is MOST likely to use edge AI for quick, private predictions?
Desktop PC at school
Smartwatch fitness tracker
Company mainframe
Large gaming console
A hiring AI could become biased if its training data …
Is balanced across groups
Contains past biased decisions
Comes from many countries
Is updated every month
Overfitting happens when a model …
Learns training data too exactly
Has too few layers
Runs on battery power
Uses edge deployment
The MAIN goal of data privacy in AI is to …
Reduce battery drain
Keep personal information safe
Speed up training time
Increase screen resolution
A rule-based system is BEST when …
Rules rarely change
Data is huge and messy
Patterns shift daily
Output must be creative
Machine-learning systems excel when …
There are fixed, simple rules
Tasks require adapting to new data
Memory use must be tiny
Results never change
Which is a potential DESIGN risk in AI?
Low Wi-Fi speed
Biased training samples
High screen brightness
Missing user manual
To keep up with slang, an ML chatbot should …
Freeze its model
Collect fresh conversational data
Disable language detection
Switch to grayscale mode
A key benefit of edge AI for smartphones is …
24-hour battery life
Lower network latency
Brighter screen colors
Cheaper phone cases
Larger, more varied training data usually …
Increases overfitting
Reduces generalization
Improves model robustness
Deletes old weights
Which signal often shows a model is overfitting?
High accuracy on new data
Low loss on training, high loss on test data
Fast loading time
Small file size
Choosing a “fixed rule” playlist each morning MOST closely matches …
Rule-based AI
Reinforcement learning
Unsupervised clustering
Neural pruning
Sending every camera frame to the cloud for face detection mainly risks …
More bias
Higher latency and privacy loss
GPU overheating
Sharper images
When sketching “bias sneaks in,” the arrows from data set to predictions highlight …
Missing values
Skewed representation
Compression ratios
Pixel density
Which regulation topic is MOST related to AI data privacy?
Net neutrality
GPS accuracy
User consent for data use
Screen refresh rate
A strong answer on the exit ticket must include all EXCEPT …
Correct choice (rule-based or ML)
Two supporting reasons
Perfect drawing of a robot
Proper grammar and spelling
