Data Literacy Class 9 AI MCQ with Answer helps students understand the basics of data and its importance in Artificial Intelligence. These multiple-choice questions are designed for quick revision, better concept clarity, and exam preparation. By practicing these MCQs, students can improve their understanding of how data is collected, processed, and used in AI systems.
Class 9 Computer Science | AI & Data Literacy MCQ Quiz
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AI & Data Literacy Quiz
Class 9 · Computer Science
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Data Literacy Class 9 AI MCQ with Answer
Therefore, strengthen your understanding of AI, Data Literacy, Machine Learning, Neural Networks, and Python through these 80 carefully crafted questions.
80 Questions4 SectionsWith ExplanationsClass 9 LevelAI · ML · Python · Data
1
Section 1: Foundations of Artificial Intelligence
Q1–Q20 · AI basics, rule-based systems, Machine Learning, Neural Networks
Q1: Rule-Based AI
Q1Rule-Based AI
In a rule-based approach, who defines the relationships present in the data?
✅ Correct Answer: A — Developer. In rule-based AI systems, developers manually write and define all the logical rules. Consequently, the machine simply follows these predefined instructions without learning independently from data.
Q2: Neural Networks
Q2Neural Networks
Google Translate uses which technology to instantly translate between over 100 languages?
✅ Correct Answer: C — Neural Networks. Google Translate therefore relies on Neural Networks, specifically transformer-based deep learning models, to understand context and produce accurate translations across languages efficiently.
Q3: Deep Learning
Q3Deep Learning
Assertion (A): Neural Networks form the backbone of deep learning algorithms. Reason (R): Neural Networks use vast amounts of data. Which option correctly describes this?
✅ Correct Answer: A — Both true; R correctly explains A. Neural Networks indeed power deep learning and additionally require large datasets to train their layers effectively, making R a valid explanation for A.
Q4: Types of AI
Q4Types of AI
AI systems designed to perform only one specific task are classified as which type?
✅ Correct Answer: C — Weak AI. Weak AI, also called Narrow AI, consequently focuses on a single task. Examples include voice assistants and recommendation engines that excel in one area but cannot generalize beyond that.
Q5: Smart Cities
Q5Smart Cities
A Smart City uses multiple modern technologies. Which of the following technologies does a Smart City typically use?
✅ Correct Answer: D — All of these. Smart cities therefore integrate IoT sensors, surveillance cameras, and AI systems together to manage traffic, energy, utilities, and public services efficiently and intelligently.
Q6: AI Project Cycle
Q6AI Project Cycle
A social media platform’s “10 Year Gap” campaign gathered millions of user images. This image collection activity belongs to which stage of the AI Project Cycle?
✅ Correct Answer: D — Data Acquisition. Data Acquisition is the stage where teams collect raw data from various sources. Therefore, gathering images from the campaign clearly falls under this phase of the AI Project Cycle.
Q7: AI History
Q7AI History
Which scientist first coined the term “Artificial Intelligence”?
✅ Correct Answer: D — John McCarthy. John McCarthy coined the term “Artificial Intelligence” in 1956 at the Dartmouth Conference. He therefore became known as the Father of AI and contributed foundational ideas to the field.
Q8: ML Hierarchy
Q8ML Hierarchy
Is Deep Learning a subset of Machine Learning?
✅ Correct Answer: A — True. Deep Learning uses multi-layered neural networks and therefore sits within the broader field of Machine Learning. Consequently, Machine Learning itself is a subset of Artificial Intelligence.
Q9: ANN
Q9ANN
Which of the following represents a disadvantage of Artificial Neural Networks (ANN)?
✅ Correct Answer: D — Requires training first. ANN must therefore go through an extensive training process using large datasets before it functions correctly. This requirement consequently makes deployment time-consuming and computationally expensive.
Q10: Python
Q10Python
Python is a case-sensitive programming language. Is this statement true or false?
✅ Correct Answer: A — True. Python clearly distinguishes between uppercase and lowercase letters. Therefore, variables named “Value” and “value” are treated as two completely different identifiers in Python programs.
Q11: Python IDE
Q11Python IDE
In which Python mode can you write and execute programs with multiple lines of code?
✅ Correct Answer: B — Script Mode. Script Mode allows you to write an entire multi-line program and save it as a .py file. Therefore, it is specifically designed for writing and executing complex, complete programs.
Q12: ANN
Q12ANN
What does the abbreviation “ANN” stand for in the context of Artificial Intelligence?
✅ Correct Answer: C — Artificial Neural Network. ANN stands for Artificial Neural Network, which is a computational model inspired by the human brain. It consequently forms the foundation of modern deep learning and AI applications.
Q13: Python
Q13Python
To execute a Python script in IDLE, you press the F5 key. Is this correct?
✅ Correct Answer: A — True. In Python’s IDLE editor, pressing F5 runs the currently open script. Therefore, this shortcut key helps students quickly test their code without navigating through the menu options.
Q14: ANN Applications
Q14ANN Applications
For which of the following purposes does an ANN find application?
✅ Correct Answer: D — All of the above. ANN therefore serves multiple domains simultaneously including weather forecasting, GPS route detection, and voice recognition. Its versatile architecture consequently adapts to diverse problem types effectively.
Q15: AI Domains
Q15AI Domains
Google Assistant uses which primary domain of Artificial Intelligence?
✅ Correct Answer: B — NLP. Google Assistant primarily uses Natural Language Processing to understand spoken queries and generate appropriate responses. Therefore, NLP enables it to interpret human language naturally and conversationally.
Q16: AI Bias
Q16AI Bias
When searching “Doctor” online, results mostly show males, and searching “Nurse” mostly shows females. What does this phenomenon describe?
✅ Correct Answer: B — Gender Bias. This situation describes gender bias in AI systems. The model therefore learned biased associations from historically skewed datasets, consequently producing search results that reinforce gender stereotypes unfairly.
Q17: Data Acquisition
Q17Data Acquisition
In the Data Acquisition stage of the AI Project Cycle, which aspect does “data type” refer to?
✅ Correct Answer: A — Kind of data to collect. In Data Acquisition, data type refers to the category of information you need, such as text, images, or numbers. Therefore, identifying this upfront guides the entire data collection strategy effectively.
Q18: NLP
Q18NLP
Which of the following applications serves as the best example of Natural Language Processing (NLP)?
✅ Correct Answer: C — Siri. Siri uses Natural Language Processing to understand spoken human language and respond intelligently. Therefore, it processes voice input and generates context-aware replies, making it a clear NLP application.
Q19: ML Models
Q19ML Models
Regression is a type of rule-based AI model. Is this statement true or false?
✅ Correct Answer: B — False. Regression is a Machine Learning model, not a rule-based one. Therefore, it learns patterns and mathematical relationships from data rather than following manually written conditional rules defined by a developer.
Q20: AI Bias
Q20AI Bias
AI bias generally reflects which types of real-world prejudices?
✅ Correct Answer: D — All of these. AI bias consequently reflects societal, cultural, and gender biases present in the training data. Therefore, it mirrors existing human prejudices, making fairness and diverse datasets critical in AI development.
Section 1 of 4
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Section 2: Data Literacy & AI Applications
Q21–Q40 · Data types, ML algorithms, Computer Vision, NLP applications
Q21: AI Domains
Q21AI Domains
ROBO, a humanoid that converses in 50 languages, uses which AI technology to communicate with humans?
✅ Correct Answer: A — NLP. Natural Language Processing enables ROBO to understand and generate human language across multiple languages. Therefore, NLP is the core technology that powers multilingual conversational robots and voice-based systems.
Q22: ML Predictions
Q22ML Predictions
AI algorithms use mathematical formulas to make what about future data?
✅ Correct Answer: B — Predictions. AI algorithms therefore analyze patterns in historical data using mathematical formulas to make predictions about future events. Consequently, this predictive capability makes AI valuable in medicine, finance, and marketing.
Q23: Data Types
Q23Data Types
Which of the following is an example of Qualitative Data?
✅ Correct Answer: C — Color of uniform. Qualitative data describes non-numerical characteristics or categories. Therefore, the color of a uniform is qualitative because it represents a descriptive attribute rather than a measurable quantity.
Q24: Data Types
Q24Data Types
Which of the following best represents Quantitative Data?
✅ Correct Answer: A — Marks scored. Quantitative data involves measurable numerical values. Therefore, marks scored by students in an exam represent quantitative data because you can count, compare, and perform mathematical operations on them.
Q25: Computer Vision
Q25Computer Vision
Phone Face Lock uses which domain of Artificial Intelligence?
✅ Correct Answer: B — Computer Vision. Face Lock technology therefore relies on Computer Vision to detect, analyze, and verify human facial features. Consequently, the AI system matches the scanned face against stored facial data to authenticate users.
Q26: ML Applications
Q26ML Applications
Netflix recommends shows and movies using which domain of Artificial Intelligence?
✅ Correct Answer: C — Machine Learning. Netflix therefore uses Machine Learning recommendation algorithms that analyze viewing history, ratings, and preferences. Consequently, these models predict content users will enjoy and therefore improve user engagement significantly.
Q27: Computer Vision
Q27Computer Vision
Snapchat filters that transform your face use which domain of AI?
✅ Correct Answer: A — Computer Vision. Snapchat AR filters use Computer Vision to detect facial landmarks and overlay digital effects in real time. Therefore, the AI tracks face geometry and consequently applies transformations accurately as expressions change.
Q28: Data Preprocessing
Q28Data Preprocessing
Which of the following best describes the purpose of Data Preprocessing?
✅ Correct Answer: C — Clean and transform raw data. Data Preprocessing involves removing errors, handling missing values, and formatting data correctly. Therefore, it ensures the AI model receives clean, consistent data and consequently produces more accurate, reliable results.
Q29: Data Visualization
Q29Data Visualization
Why is Data Visualization important in the AI Project Cycle?
✅ Correct Answer: B — Understand patterns easily. Data Visualization presents complex datasets in graphical formats like charts and graphs. Therefore, it enables analysts and students to quickly identify trends, patterns, and outliers that would otherwise remain hidden in raw numbers.
Q30: Good Data
Q30Good Data
Which feature most accurately characterizes “Good Data” used in AI training?
✅ Correct Answer: D — Accurate, complete, consistent, unbiased. Good data must therefore meet quality standards across multiple dimensions. Consequently, AI models trained on such data produce reliable predictions and avoid perpetuating errors or biased outcomes in real-world applications.
Q31: ML Types
Q31ML Types
In Supervised Learning, which of the following best describes the training data?
✅ Correct Answer: A — Labelled data. Supervised Learning requires labelled datasets where each input has a corresponding correct output. Therefore, the model learns to map inputs to outputs by minimizing error and consequently improves its prediction accuracy over time.
Q32: AI Project Cycle
Q32AI Project Cycle
Which stage of the AI Project Cycle involves testing the trained model with new data to evaluate its performance?
✅ Correct Answer: C — Evaluation. The Evaluation stage therefore tests the trained AI model using unseen data to measure its accuracy and performance. Consequently, this stage reveals whether the model generalizes well beyond its training dataset.
Q33: Sources of Data
Q33Sources of Data
Which of the following is a primary source of data for an AI project on student performance?
✅ Correct Answer: A — Directly conducting surveys. A primary source involves collecting original data firsthand. Therefore, surveying students directly produces first-hand, current information rather than using existing datasets gathered by other researchers previously.
Q34: No-Code Tools
Q34No-Code Tools
No-code data visualization tools are specifically designed to help whom create visual data representations?
✅ Correct Answer: C — Anyone without programming. No-code tools therefore allow non-programmers to build charts, graphs, and dashboards through drag-and-drop interfaces. Consequently, they democratize data analysis and enable students and beginners to visualize data effectively.
Q35: ML Types
Q35ML Types
Unsupervised Learning is best described as which of the following?
✅ Correct Answer: B — Finding patterns in unlabelled data. Unsupervised Learning therefore works with data that lacks predefined labels. Consequently, algorithms independently discover clusters, groupings, or structures within the dataset without any human-provided guidance or predefined categories.
Q36: AI Ethics
Q36AI Ethics
Which principle ensures that AI systems treat all people fairly regardless of their background?
✅ Correct Answer: C — Fairness. Fairness is a fundamental principle of ethical AI development. Therefore, AI systems must not discriminate based on race, gender, or background and consequently require diverse datasets to avoid biased outcomes in decision-making.
Q37: Python Basics
Q37Python Basics
Which Python data type stores an ordered, changeable collection of items?
✅ Correct Answer: B — List. A Python List is an ordered, mutable collection that allows duplicate values. Therefore, you can add, remove, or change elements after creation. Consequently, lists are one of the most widely used data structures in Python programming.
Q38: IoT
Q38IoT
What does the abbreviation “IoT” stand for in technology?
✅ Correct Answer: C — Internet of Things. IoT refers to the network of physical devices connected to the internet that collect and share data. Therefore, smart cities use IoT sensors to monitor traffic, energy, water systems, and consequently improve urban management efficiently.
Q39: Problem Scoping
Q39Problem Scoping
The 4W Problem Canvas in the AI Project Cycle helps define what four elements?
✅ Correct Answer: B — Who, What, Where, Why. The 4W Problem Canvas therefore frames the AI problem by identifying who is affected, what the issue is, where it occurs, and why solving it matters. Consequently, this structured approach prevents poorly defined AI projects.
Q40: Deep Learning
Q40Deep Learning
Which of the following correctly describes the relationship between AI, Machine Learning, and Deep Learning?
✅ Correct Answer: C — AI contains ML which contains DL. AI is the broadest field, Machine Learning is a subset of AI, and Deep Learning is consequently a specialized subset of Machine Learning that uses multi-layered neural networks for complex pattern recognition.
Section 2 of 4
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Section 3: Python Programming & Data Science
Q41–Q60 · Python syntax, data structures, algorithms, AI ethics
Q41: Python
Q41Python
Which Python keyword starts a conditional block to check a condition?
✅ Correct Answer: B — if. The “if” keyword therefore starts a conditional statement in Python. It evaluates whether a given condition is True or False and consequently executes the corresponding block of code based on that result.
Q42: Python
Q42Python
What does the “print()” function do in Python?
✅ Correct Answer: C — Displays output on screen. The print() function in Python therefore displays specified messages or variable values on the console output screen. Consequently, it is one of the most fundamental and frequently used built-in functions in Python programming.
Q43: Python
Q43Python
What symbol does Python use to write single-line comments in code?
✅ Correct Answer: C — # Python uses the hash symbol (#) to write single-line comments. Therefore, anything written after # on that line is ignored during execution. Consequently, comments help programmers explain code logic clearly for future reference.
Q44: Python Loops
Q44Python Loops
Which Python loop continues executing as long as its condition remains True?
✅ Correct Answer: B — while loop. A while loop in Python therefore keeps executing its code block as long as the specified condition evaluates to True. Consequently, once the condition becomes False, execution moves to the next statement after the loop.
Q45: Python
Q45Python
What is the correct file extension for saving a Python script?
✅ Correct Answer: C — .py Python source code files therefore use the .py extension. The Python interpreter recognizes and consequently executes files with this extension. Saving with the correct extension also helps code editors apply proper syntax highlighting.
Q46: Data Science
Q46Data Science
Which of the following actions falls under “Data Exploration” in the AI Project Cycle?
✅ Correct Answer: B — Analyzing data for patterns. Data Exploration therefore involves examining the collected dataset to understand its structure, identify patterns, and detect outliers. Consequently, this analysis guides decisions about preprocessing and model selection in subsequent stages.
Q47: AI Ethics
Q47AI Ethics
Which ethical concern arises when an AI facial recognition system performs poorly on dark-skinned individuals due to biased training data?
✅ Correct Answer: C — Racial Bias. When training data lacks diversity, AI systems therefore perform unequally across racial groups. Consequently, this creates racial bias in AI, raising serious ethical concerns about fairness and the need for representative, inclusive training datasets.
Q48: Python Functions
Q48Python Functions
In Python, which keyword do you use to define a function?
✅ Correct Answer: B — def. Python uses the “def” keyword to define a function, followed by the function name and parentheses. Therefore, functions created with “def” allow programmers to organize reusable code blocks and consequently reduce repetition in programs.
Q49: ML Algorithms
Q49ML Algorithms
A Decision Tree algorithm resembles which everyday human activity when making choices?
✅ Correct Answer: C — Yes/no questions to reach a conclusion. A Decision Tree therefore splits data by asking sequential true/false questions at each node. Consequently, it reaches a final classification or decision at the leaf nodes, similar to playing the “20 Questions” guessing game.
Q50: Python Variables
Q50Python Variables
Which of the following is a valid Python variable name?
✅ Correct Answer: C — my_score. Python variable names must therefore start with a letter or underscore, and can only contain letters, digits, and underscores. Consequently, spaces, hyphens, and names starting with digits are all invalid Python identifiers.
Q51: AI Applications
Q51AI Applications
Which technology allows machines to understand, interpret, and generate human language?
✅ Correct Answer: C — Natural Language Processing. NLP therefore enables computers to process, understand, and generate human languages like English and Hindi. Consequently, chatbots, voice assistants, translation tools, and spam filters all rely heavily on NLP techniques.
Q52: Reinforcement Learning
Q52Reinforcement Learning
Reinforcement Learning trains an AI model by using which mechanism?
✅ Correct Answer: B — Rewards and penalties. Reinforcement Learning trains an AI agent by rewarding correct actions and penalizing wrong ones. Therefore, the agent consequently learns the optimal strategy through trial and error, similar to how humans learn from experience.
Q53: Python
Q53Python
What is the output of: print(type(5)) in Python?
✅ Correct Answer: B — <class ‘int’>. The number 5 is a whole number, so Python therefore classifies it as an integer (int). The type() function consequently returns the data type of any value, helping programmers verify and debug variable types in their code.
Q54: Data Literacy
Q54Data Literacy
A bar chart most effectively displays which kind of data comparison?
✅ Correct Answer: C — Comparing values across categories. Bar charts therefore excel at visually comparing values across distinct categories. Consequently, they make it easy to identify which category has the highest or lowest value at a quick glance without detailed numerical analysis.
Q55: Machine Learning
Q55Machine Learning
Classification in Machine Learning assigns input data to which type of output?
✅ Correct Answer: B — Predefined category. Classification algorithms therefore assign input data to one of several predefined categories. For example, an email classifier consequently labels emails as either “spam” or “not spam” based on learned patterns in training data.
Q56: Python
Q56Python
Which Python built-in function accepts keyboard input from the user during program execution?
✅ Correct Answer: B — input(). Python’s input() function therefore pauses program execution and waits for the user to type something and press Enter. Consequently, the entered text is returned as a string that the program can then use in further operations.
Q57: AI History
Q57AI History
In which year did John McCarthy organize the Dartmouth Conference that gave birth to AI as a formal field?
✅ Correct Answer: C — 1956. John McCarthy therefore organized the Dartmouth Conference in 1956, where he coined the term “Artificial Intelligence.” Consequently, this event established AI as a distinct academic discipline and consequently launched decades of research and innovation.
Q58: Data Science
Q58Data Science
What does a pie chart effectively show in data visualization?
✅ Correct Answer: C — Parts of a whole. A pie chart therefore divides a circle into slices where each slice represents a category’s proportion of the total. Consequently, it effectively shows percentage breakdowns, such as market share distribution among competing companies.
Q59: Python IDLE
Q59Python IDLE
In Python’s Interactive Mode, what symbol appears indicating Python is ready to accept input?
✅ Correct Answer: B — >>> The >>> symbol is Python’s interactive prompt, signaling that the interpreter is therefore ready to accept and immediately execute a single line of code. Consequently, it is perfect for quickly testing small code snippets and expressions.
Q60: AI Transparency
Q60AI Transparency
The ability to understand and explain how an AI system reaches its decisions is called what?
✅ Correct Answer: C — Explainability. Explainability in AI refers to the ability to understand why an AI system made a specific decision. Therefore, explainable AI builds user trust and consequently helps identify errors or biases in complex machine learning models.
Section 3 of 4
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Section 4: Advanced AI Concepts & Applications
Q61–Q80 · Deep learning, AI ethics, data privacy, future of AI
Q61: Deep Learning
Q61Deep Learning
How many hidden layers does a Deep Neural Network typically contain compared to a shallow network?
✅ Correct Answer: C — Multiple hidden layers. Deep Neural Networks therefore contain multiple hidden layers between input and output, enabling them to learn complex hierarchical features. Consequently, each layer extracts progressively more abstract representations from the input data.
Q62: AI Privacy
Q62AI Privacy
When AI systems collect personal data without explicit user consent, which ethical issue does this raise?
✅ Correct Answer: B — Data Privacy violation. Collecting personal data without consent therefore violates users’ privacy rights. Consequently, ethical AI development demands transparent data practices, proper consent mechanisms, and compliance with privacy laws like GDPR to protect individuals.
Q63: NLP
Q63NLP
Which of the following is NOT an application of Natural Language Processing?
✅ Correct Answer: D — Detecting objects in photos. Object detection in photographs therefore uses Computer Vision, not NLP. Consequently, NLP specifically processes text and speech, while Computer Vision processes visual data like images and video streams instead.
Q64: ML Evaluation
Q64ML Evaluation
When an AI model performs very well on training data but poorly on new test data, this problem is called?
✅ Correct Answer: B — Overfitting. Overfitting occurs when a model therefore memorizes training data patterns too closely, including noise. Consequently, it fails to generalize to new, unseen examples because it learned the specific training examples rather than the underlying pattern.
Q65: Computer Vision
Q65Computer Vision
Self-driving cars use which AI domain to detect roads, pedestrians, and obstacles around them?
✅ Correct Answer: B — Computer Vision. Self-driving cars therefore use Computer Vision combined with sensors to continuously analyze their visual environment. Consequently, the AI system identifies lanes, pedestrians, signs, and obstacles and consequently makes real-time navigation decisions safely.
Q66: AI in Healthcare
Q66AI in Healthcare
Doctors currently use AI to assist in diagnosing diseases from medical images. This application primarily uses which AI domain?
✅ Correct Answer: C — Computer Vision. Medical AI systems therefore use Computer Vision to analyze X-rays, MRIs, and CT scans. Consequently, these models detect tumors, fractures, and diseases with accuracy comparable to experienced radiologists, assisting doctors in making faster diagnoses.
Q67: AI Accountability
Q67AI Accountability
If an AI system makes a harmful decision that injures someone, who bears the primary ethical responsibility?
✅ Correct Answer: B — Developers and organization. Ethical accountability in AI therefore rests with the humans and organizations who design, build, and deploy these systems. Consequently, developers must ensure safety, fairness, and transparency before releasing AI systems to the public.
Q68: Machine Learning
Q68Machine Learning
Training a Machine Learning model on completely new data after its initial deployment is called what?
✅ Correct Answer: C — Retraining. Retraining therefore updates an AI model’s parameters by exposing it to new data after initial deployment. Consequently, this process improves performance over time and helps the model adapt to changing real-world patterns and conditions.
Q69: Python
Q69Python
In Python, which operator checks whether two values are equal to each other?
✅ Correct Answer: C — == Python therefore uses the double equals (==) operator to compare two values for equality. Consequently, the single equals (=) is only used for assignment, so using = in a condition would cause a syntax error in Python.
Q70: Generative AI
Q70Generative AI
AI systems that create new content like text, images, or music are classified under which category?
✅ Correct Answer: C — Generative AI. Generative AI models therefore learn patterns from existing data and consequently create new, original content such as images, text, audio, or video. Tools like ChatGPT and image generators are therefore prominent examples of generative AI applications.
Q71: Data Literacy
Q71Data Literacy
A line graph most effectively shows which type of data change over time?
✅ Correct Answer: B — Continuous change over time. Line graphs therefore excel at showing how a variable changes continuously over a time period. Consequently, they clearly reveal trends, growth rates, and seasonal patterns that other chart types struggle to display as effectively.
Q72: AI in Education
Q72AI in Education
An AI tutoring system that adapts lesson difficulty based on a student’s performance uses which type of learning approach?
✅ Correct Answer: C — Reinforcement Learning. Adaptive tutoring systems use Reinforcement Learning to receive feedback from student responses and consequently adjust the difficulty level accordingly. Therefore, students who struggle receive easier content, while advanced students receive progressively harder challenges.
Q73: Neural Networks
Q73Neural Networks
The smallest processing unit in an Artificial Neural Network, inspired by a biological nerve cell, is called what?
✅ Correct Answer: B — Perceptron or Neuron. The perceptron is therefore the basic computational unit of an ANN, inspired by biological neurons. It receives input signals, applies weights, and consequently passes the result through an activation function to produce an output signal.
Q74: Strong AI
Q74Strong AI
Strong AI, also called Artificial General Intelligence (AGI), refers to AI that can do what?
✅ Correct Answer: C — Any intellectual task a human can do. Strong AI or AGI therefore refers to a hypothetical AI system that matches human-level intelligence across all domains. Consequently, AGI does not yet exist today, as current AI systems only handle narrow, specific tasks effectively.
Q75: Python Libraries
Q75Python Libraries
Which Python library is most commonly used for numerical computations and working with arrays in data science?
✅ Correct Answer: B — NumPy. NumPy is therefore the fundamental Python library for numerical computing. It consequently provides powerful multi-dimensional array objects and mathematical functions, making it an essential tool for data science, machine learning, and scientific computing projects.
Q76: AI Project
Q76AI Project
In a “Student Performance Analysis” mini-project, which data would students most appropriately collect first?
✅ Correct Answer: C — Marks, attendance, study hours. Therefore, the first step in any AI project is Data Acquisition. Consequently, gathering raw relevant data — such as marks, attendance records, and study hours — provides the necessary foundation before any analysis or modeling can begin.
Q77: Data Ethics
Q77Data Ethics
When collecting data from students for an AI project, which ethical practice must researchers follow above all else?
✅ Correct Answer: B — Obtain informed consent. Ethical data collection therefore requires informing participants about data usage and obtaining their explicit consent before collection. Consequently, this protects privacy rights and builds trust between researchers and study participants.
Q78: Future of AI
Q78Future of AI
Which of the following represents a positive application of AI in environmental sustainability?
✅ Correct Answer: C — Predicting climate patterns. AI therefore helps scientists analyze satellite data and climate models to predict natural disasters and extreme weather. Consequently, early warnings help communities prepare effectively and therefore reduce the damage from floods, droughts, and storms.
Q79: AI Reliability
Q79AI Reliability
Why should humans always review critical AI-generated decisions in fields like medicine and law?
✅ Correct Answer: C — AI can be biased or incorrect. AI systems therefore sometimes make errors or reflect dataset biases. Consequently, in high-stakes domains like medicine and law, human review ensures that flawed AI decisions do not directly harm patients, defendants, or other vulnerable individuals.
Q80: Data Literacy
Q80Data Literacy
Data Literacy is best defined as the ability to do what with data?
✅ Correct Answer: C — Read, understand, analyze, communicate. Data Literacy therefore empowers individuals to interpret data, understand its context, and draw meaningful conclusions. Consequently, this skill is increasingly vital for students, professionals, and citizens in our data-driven modern world.
