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WorksheetsGraduation Quiz
Total questions: 30
Worksheet time: 27mins
1. What is automation mainly used for?
Adding new features to systems
Letting machines handle repetitive tasks
Replacing hardware
Improving internet speed
2. Which of the following are key elements of a good prompt?
Role, Instructions, Context, Format, Tone
Speed, Color, Size, Weight
Only the question you want answered
Programming code and algorithms
3. AI agents interact with their environment to achieve what?
Entertainment
A specific goal
Network connection
Faster hardware response
4. What is Iterative Prompting?
Using AI only once and accepting the first result
Refining your prompt based on results by having a conversation with AI
Deleting all previous prompts
Copying prompts from other users
5. What is a Large Language Model (LLM)?
A model that only works with large datasets
AI systems trained to understand and generate human language from vast amounts of text
A physical machine that stores language data
A dictionary application
6. What does the n8n platform mainly help users do?
Build websites
Automate workflows
Create presentations
Edit videos
7. In n8n, what is a workflow made of?
Functions
Connected nodes
Slides
Tables
8. What is the purpose of the Trigger node in n8n?
To delete tasks
To start the workflow
To format data
To create dashboards
9. What type of tasks is RPA (Robotic Process Automation) great for?
Physical labor like construction
Office tasks like copying data, generating invoices, updating databases
Creative writing and art
Medical surgery
10. According to the course, what did The Economist Magazine call "the world's most valuable resource" in 2017?*
Oil
Gold
Data
Technology
11. What are the main components needed to create an AI model?
Data, Algorithm, Training, Model
Computer, Internet, Software, Hardware
Input, Process, Output
Start, Middle, End
12. A main advantage of automation is:
Increasing manual work
Reducing human error
Making processes slower
Removing all employees
13. Which is MORE important for training a good AI model according to the course discussion?
Only quantity of data matters
Only quality of data matters
Both quality and quantity matter (trick question - course asks for discussion)
Neither mattersn
14. What happens during the "Calculate Error" step in model training?
The computer breaks down
Measure the difference between the prediction and the correct answer
Delete incorrect data
Restart the entire process
15. Which AI platform is described as "a powerful open-source automation platform with drag-and-drop interface"?*
Zapier
ChatGPT
n8n
Microsoft Excel
16. In n8n, which node manipulates or transforms data?
Trigger node
Function node
Webhook node
Decision node
17. Which of the following is NOT mentioned as an AI use case in Healthcare?
Disease detection from scans
Drug discovery
Personalized treatment
Writing prescriptions automatically for patients
18. Intelligent Automation is best defined as:
Automation + Sensors
Automation + AI
Automation + Passwords
Automation + Manual rules
19. n Unsupervised Learning, what does the AI do?
Follows labeled examples
Finds patterns and groups data on its own without labels
Learns through rewards and penalties
Copies human behavior exactly
20. What does Netflix use Machine Learning for?
Creating all their original content
Learning what you like and recommending shows
Managing their servers only
translating movies
21. A decision-making agent relies on:
External employees
Internal rules and data
Random choices
Hardware only
22. Why do companies automate processes?
To increase errors
To save time and money
To remove software
To increase manual entry
23. What is a major benefit of tools like n8n?
Requires heavy coding
Only works offline
Integrates apps with low/no code
Deletes processes
24. 47. What analogy is used to explain Supervised Learning?
Like organizing a messy drawer
Like training a dog with treats
Like flashcards with correct answers
Like exploring a maze
25. Which Machine Learning type is used for customer segmentation?
Supervised Learning
Unsupervised Learning
Reinforcement Learning
None of the above
26. What is the primary definition of Artificial Intelligence?
A system that only performs mathematical calculations
Technology that enables computers to simulate human learning,
A physical robot that performs manual tasks
Software that follows exact programmed instructions
27. Which statement best describes Narrow AI?
AI that can perform any task a human can do
AI designed for one specific task without consciousness
AI that surpasses human intelligence in all aspects
AI with self-awareness and independent thinking
28. What does NLP stand for and what does it enable?
New Language Protocol - creates new languages
Natural Language Processing - helps AI understand and generate human language
Neural Learning Platform - trains neural networks
Network Link Protection - secures internet connections
29. What makes Deep Learning "deep"?
It works underwater
It uses multiple layers of neural networks inspired by the brain
It takes a long time to train
It stores more data than regular ML
30. What is Prompt Engineering?
Building AI systems from scratch
The art of writing clear instructions to get better results from AI
A type of software development
Hardware maintenance for AI computers
