ACME ACADEMY

WEEKLY EVALUATION TEST

Subject: Artificial Intelligence
Time Limit: 30 Mins
Max Marks: 50 Marks
Student Name:
Roll Number:
Class / Sec:
Date:

GENERAL INSTRUCTIONS:

  1. All questions are compulsory. Carefully read all instructions before starting.
  2. The question paper contains 50 questions.
  3. There is no negative marking for incorrect answers.
  4. Use of mobile phones, smartwatches, or calculators is strictly prohibited during the exam.
1. What is the primary purpose of the Evaluation stage in the AI project cycle?
[1 Mark]
(A) To collect data
(B) To assess the performance, accuracy, and reliability of the trained model before deployment
(C) To write the problem statement
(D) To visualize data
2. In a classification problem, what is a Confusion Matrix?
[1 Mark]
(A) A chart that confuses the user
(B) A table used to describe the performance of a classification model comparing actual vs predicted values
(C) A mathematical equation for neural networks
(D) A type of database
3. In a Confusion Matrix, what does 'True Positive' (TP) mean?
[1 Mark]
(A) The model predicted YES, and the actual answer was NO
(B) The model predicted YES, and the actual answer was YES
(C) The model predicted NO, and the actual answer was NO
(D) The model predicted NO, and the actual answer was YES
4. If a spam filter marks a legitimate email as 'Spam', this error is a:
[1 Mark]
(A) True Positive
(B) True Negative
(C) False Positive
(D) False Negative
5. If a medical AI fails to detect a disease that a patient actually has, this is a:
[1 Mark]
(A) True Positive
(B) True Negative
(C) False Positive
(D) False Negative
6. Which metric calculates the overall ratio of correct predictions to the total number of predictions?
[1 Mark]
(A) Precision
(B) Recall
(C) F1 Score
(D) Accuracy
7. When is 'Accuracy' a misleading metric?
[1 Mark]
(A) When the dataset is perfectly balanced
(B) When the dataset is highly imbalanced (e.g., 99% negative cases and 1% positive cases)
(C) When the model is perfectly trained
(D) Accuracy is never misleading
8. What does 'Precision' measure?
[1 Mark]
(A) Out of all actual positives, how many did we find?
(B) Out of all the positive predictions made by the model, how many were actually correct?
(C) The total number of errors
(D) The speed of the model
9. What does 'Recall' (Sensitivity) measure?
[1 Mark]
(A) Out of all the actual positive cases in reality, how many did the model correctly identify?
(B) Out of all predictions, how many were right?
(C) The number of False Positives
(D) The visual clarity of the model
10. If you are building an AI to detect a highly contagious virus, which metric should you prioritize to ensure you don't miss any infected people?
[1 Mark]
(A) Precision
(B) Recall
(C) Accuracy
(D) Loss
11. If you want a single metric that balances both Precision and Recall, which one should you use?
[1 Mark]
(A) Accuracy
(B) Mean Absolute Error
(C) F1 Score
(D) Confusion Matrix
12. In which scenario is 'Precision' more important than 'Recall'?
[1 Mark]
(A) Detecting cancer
(B) Spam email filtering
(C) Predicting earthquakes
(D) Detecting fraudulent transactions
13. What does it mean if the F1 Score is 1.0?
[1 Mark]
(A) The model failed completely
(B) The model has perfect Precision and perfect Recall
(C) The model is underfitting
(D) The model only predicts False Positives
14. What is the formula for Accuracy?
[1 Mark]
(A) (TP + TN) / Total Predictions
(B) TP / (TP + FP)
(C) TP / (TP + FN)
(D) FP + FN
15. What happens during the 'Testing' phase of evaluation?
[1 Mark]
(A) The model is shown data it has never seen before to test its true generalization ability
(B) The model is given the answers so it can learn
(C) The model is deleted
(D) The stakeholders write the problem statement
16. Overfitting can be detected during Evaluation when:
[1 Mark]
(A) Training accuracy is low, and testing accuracy is low
(B) Training accuracy is extremely high, but testing accuracy is very low
(C) Training and testing accuracy are both high
(D) The computer crashes
17. Which of the following techniques helps prevent Overfitting?
[1 Mark]
(A) Using less training data
(B) Training the model for fewer epochs or using more varied training data
(C) Deleting the testing data
(D) Only using one feature
18. What is the 'Training-Testing Split' usually set to?
[1 Mark]
(A) 100% Training, 0% Testing
(B) 10% Training, 90% Testing
(C) 70-80% Training, 20-30% Testing
(D) 50% Training, 50% Testing
19. A Confusion Matrix for a binary classification problem has how many cells?
[1 Mark]
(A) 2
(B) 4
(C) 6
(D) 9
20. If the model predicts 'No Rain' and it actually doesn't rain, this is a:
[1 Mark]
(A) True Positive
(B) True Negative
(C) False Positive
(D) False Negative
21. What is 'AI Bias'?
[1 Mark]
(A) When AI systems process data too fast
(B) When an AI model produces prejudiced or unfair outcomes, often due to biased training data
(C) When an AI prefers one programming language over another
(D) When an AI cannot be turned off
22. Why is 'Transparency' important in AI Ethics?
[1 Mark]
(A) So the hardware is visible
(B) Users should understand how the AI makes decisions, especially in critical areas like healthcare or law
(C) So the code can be easily copied
(D) To make the file size smaller
23. What does 'Data Privacy' ensure in the context of AI?
[1 Mark]
(A) That AI can access all internet data
(B) That individuals' personal data is collected, stored, and used securely with their consent
(C) That no data is ever collected
(D) That passwords are saved in plain text
24. Which of the following represents a major ethical concern regarding deepfakes?
[1 Mark]
(A) They use too much battery power
(B) They can be used to generate hyper-realistic fake videos to spread misinformation or commit fraud
(C) They improve movie special effects
(D) They require an internet connection
25. What is meant by 'AI Accountability'?
[1 Mark]
(A) The AI must pay taxes
(B) Determining who is responsible (the developer, the user, the company) when an AI system makes a harmful mistake
(C) Counting the number of AI systems
(D) The AI's ability to do accounting math
26. In the context of the Future of Work, how is AI expected to impact jobs?
[1 Mark]
(A) It will completely eliminate all human jobs within 5 years
(B) It will replace certain routine tasks but also create new tech-centric roles, requiring humans to upskill
(C) It will have absolutely no effect on employment
(D) It will only affect farmers
27. What is the 'Digital Divide'?
[1 Mark]
(A) The physical cable connecting two computers
(B) The gap between demographics and regions that have access to modern information and communications technology, and those that don't
(C) A mathematical function in neural networks
(D) The line between hardware and software
28. Can an AI system be copyrighted for writing an original novel?
[1 Mark]
(A) Yes, the AI owns the copyright
(B) Currently, under most legal systems, copyright only applies to works created by a human author
(C) Yes, the computer manufacturer owns it
(D) No, novels cannot be copyrighted
29. What is 'Algorithmic Fairness'?
[1 Mark]
(A) Ensuring the algorithm runs at the same speed on all computers
(B) Designing models that do not discriminate against specific individuals or groups based on race, gender, or background
(C) Making sure the code looks neat
(D) Sharing the algorithm for free
30. Why is user consent critical before collecting data?
[1 Mark]
(A) To slow down the internet
(B) It respects the user's autonomy and legal rights regarding their personal information
(C) To prevent the hard drive from filling up
(D) To train the model faster
31. What is 'Data Storytelling'?
[1 Mark]
(A) Reading binary code out loud
(B) The ability to effectively communicate insights from a dataset using narratives and visualizations
(C) Writing a fictional story about a robot
(D) Hiding data from the audience
32. Which of the following is NOT a core element of Data Storytelling?
[1 Mark]
(A) Data
(B) Narrative
(C) Visualizations
(D) Random guessing
33. Why are visualizations essential in data storytelling?
[1 Mark]
(A) They make the document larger
(B) They allow the human brain to perceive trends, patterns, and outliers much faster than reading raw numbers
(C) They hide the actual numbers
(D) They are legally required
34. What role does the 'Narrative' play in Data Storytelling?
[1 Mark]
(A) It provides the context, explains the 'why', and guides the audience through the insights
(B) It changes the numbers to look better
(C) It makes the graphs colorful
(D) It is the raw data file
35. When presenting a data story, knowing your audience helps you to:
[1 Mark]
(A) Decide the font size
(B) Tailor the complexity of the data and the focus of the insights to what matters most to them
(C) Charge more money
(D) Skip the presentation
36. What is a 'Capstone Project' in the context of the AI curriculum?
[1 Mark]
(A) A 5-minute quiz
(B) A multifaceted, culminating project where students integrate their learned AI skills to solve a real-world problem
(C) A physical cap worn at graduation
(D) A type of neural network layer
37. Which of the following is a crucial first step when starting an AI Capstone Project?
[1 Mark]
(A) Writing the final report
(B) Clearly defining the problem statement using the 4Ws canvas
(C) Deploying the model to the cloud
(D) Designing the PowerPoint slides
38. During a Capstone Project, why is documentation important?
[1 Mark]
(A) To waste paper
(B) To ensure the project is reproducible, transparent, and easy for others to understand
(C) Because the computer requires it to run
(D) To hide the errors
39. If your Capstone Project involves predicting crop yields based on weather data, what AI domain are you primarily using?
[1 Mark]
(A) Natural Language Processing
(B) Computer Vision
(C) Data Science / Predictive Analytics
(D) Robotics
40. What makes a Capstone Project 'multidisciplinary'?
[1 Mark]
(A) It takes multiple days
(B) It requires integrating knowledge from AI, mathematics, ethics, and specific domain subjects (like biology or economics)
(C) It involves multiple computers
(D) It has multiple multiple-choice questions
41. Which of the following is a characteristic of an effective team player?
[1 Mark]
(A) Taking all the credit
(B) Refusing to communicate
(C) Collaborating, sharing responsibilities, and supporting group goals
(D) Working completely in isolation
42. What does 'Self-Motivation' mean?
[1 Mark]
(A) Waiting for the teacher to tell you what to do
(B) The internal drive to take initiative and achieve goals without needing external pressure
(C) Being motivated by money only
(D) Refusing to work
43. In a word processor, what does the 'Align Justify' option do?
[1 Mark]
(A) Deletes the text
(B) Aligns the text evenly along both the left and right margins
(C) Makes the text bold
(D) Changes the font color to black
44. What is the primary function of spreadsheet software like MS Excel?
[1 Mark]
(A) To edit video files
(B) To organize, calculate, and analyze numerical data using rows and columns
(C) To create 3D animations
(D) To browse the internet
45. In the context of Green Skills, what does 'Upcycling' mean?
[1 Mark]
(A) Throwing items away
(B) Reusing discarded objects or material to create a product of higher quality or value than the original
(C) Burning waste for energy
(D) Burying trash underground
46. Which of the following best describes 'Renewable Energy'?
[1 Mark]
(A) Energy from burning coal
(B) Energy derived from natural sources that are replenished at a higher rate than they are consumed
(C) Energy from natural gas
(D) Energy that cannot be replaced
47. An entrepreneur who starts a business specifically to solve a social or environmental problem is called a:
[1 Mark]
(A) Corporate Manager
(B) Social Entrepreneur
(C) Venture Capitalist
(D) Retailer
48. What is the purpose of 'Version Control' systems like Git?
[1 Mark]
(A) To control the volume of the speakers
(B) To track and manage changes to software code, allowing multiple people to collaborate safely
(C) To control the speed of the mouse
(D) To restrict internet access
49. Which of the following is a safe password practice?
[1 Mark]
(A) Using 'password123'
(B) Using the same password for all accounts
(C) Using a long mix of uppercase, lowercase, numbers, and symbols
(D) Writing it on a sticky note on the monitor
50. In presentation software, 'Transitions' refer to:
[1 Mark]
(A) The visual effect that occurs when moving from one slide to the next
(B) The font style
(C) The animation of individual words on a single slide
(D) The color of the background
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