1Which of the following best describes the relationship between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)?
A.AI is a subset of ML, which is a subset of DL.
B.DL is a subset of ML, which is a subset of AI.
C.AI, ML, and DL are three distinct, unrelated fields.
D.ML and DL are the same thing, and both are subsets of AI.
Correct Answer: DL is a subset of ML, which is a subset of AI.
Explanation:Artificial Intelligence is the broad umbrella term. Machine Learning is a subset of AI that focuses on algorithms learning from data. Deep Learning is a specialized subset of ML involving neural networks with many layers.
Incorrect! Try again.
2Who is often referred to as the "Father of Artificial Intelligence" for proposing a test to determine a machine's ability to exhibit intelligent behavior?
A.Elon Musk
B.Alan Turing
C.Bill Gates
D.Charles Babbage
Correct Answer: Alan Turing
Explanation:Alan Turing proposed the Turing Test in 1950, a criterion for determining whether a machine can demonstrate human-like intelligence.
Incorrect! Try again.
3In the context of Fuzzy Systems, unlike Boolean logic which represents values as strictly 0 or 1, fuzzy logic allows truth values to be:
A.Only negative integers.
B.Any value in the interval .
C.Strictly .
D.Undefined variables.
Correct Answer: Any value in the interval .
Explanation:Fuzzy logic allows for degrees of truth, represented by any real number between 0 and 1 inclusive, catering to concepts like "slightly warm" or "very fast" rather than just "true" or "false".
Incorrect! Try again.
4Which component of an Expert System contains the domain-specific rules and facts?
A.Inference Engine
B.User Interface
C.Knowledge Base
D.Explanation Facility
Correct Answer: Knowledge Base
Explanation:The Knowledge Base stores the specialized knowledge, facts, and rules obtained from human experts, which the system uses to solve problems.
Incorrect! Try again.
5Which technology superimposes computer-generated images on a user's view of the real world, thus providing a composite view?
A.Virtual Reality (VR)
B.Augmented Reality (AR)
C.Deep Learning
D.Cloud Computing
Correct Answer: Augmented Reality (AR)
Explanation:Augmented Reality (AR) overlays digital content (images, sound, text) onto the real-world environment, unlike VR which creates a completely immersive artificial environment.
Incorrect! Try again.
6What is the primary function of Natural Language Processing (NLP)?
A.To generate 3D graphics for video games.
B.To enable computers to understand, interpret, and generate human language.
C.To secure network traffic using encryption.
D.To optimize database storage.
Correct Answer: To enable computers to understand, interpret, and generate human language.
Explanation:NLP is a branch of AI focused on the interaction between computers and humans through natural language, covering tasks like translation, sentiment analysis, and speech recognition.
Incorrect! Try again.
7Google Translator primarily utilizes which modern AI technique to provide accurate translations between languages?
A.Rule-Based Machine Translation (RBMT)
B.Neural Machine Translation (NMT)
C.Fuzzy Logic Control
D.Genetic Algorithms
Correct Answer: Neural Machine Translation (NMT)
Explanation:Modern Google Translate uses Neural Machine Translation (NMT), specifically deep learning models like Transformers, to predict likelihoods of word sequences and translate whole sentences based on context.
Incorrect! Try again.
8In the context of AI in Healthcare, what does IBM Watson primarily assist with?
A.performing robotic surgery autonomously.
B.Analyzing unstructured medical data to assist in diagnosis and treatment planning.
C.Manufacturing pharmaceutical drugs.
D.Scheduling hospital staff shifts.
Correct Answer: Analyzing unstructured medical data to assist in diagnosis and treatment planning.
Explanation:IBM Watson Health uses AI to analyze vast amounts of medical literature, patient records, and clinical trials to assist doctors in diagnosing diseases and recommending treatments.
Incorrect! Try again.
9Which of the following is an application of AI in Agriculture?
A.High-frequency stock trading.
B.Precision farming and crop health monitoring using drones.
C.Deepfake generation.
D.Sentiment analysis of movie reviews.
Correct Answer: Precision farming and crop health monitoring using drones.
Explanation:AI is used in agriculture for precision farming, analyzing soil data, monitoring crop health via computer vision (drones), and predictive analytics for weather and yield.
Incorrect! Try again.
10How is AI primarily utilized in Social Media Monitoring?
A.To physically repair servers.
B.To detect hate speech, filter content, and recommend personalized feeds.
C.To create hardware for smartphones.
D.To increase internet bandwidth.
Correct Answer: To detect hate speech, filter content, and recommend personalized feeds.
Explanation:Social media platforms use AI algorithms to moderate content (detecting violence/hate speech), analyze user sentiment, and power recommendation engines to keep users engaged.
Incorrect! Try again.
11Which technology is the core 'brain' behind virtual assistants like Alexa and Siri?
A.Blockchain
B.Conversational AI (NLP and Speech Recognition)
C.Quantum Computing
D.Augmented Reality
Correct Answer: Conversational AI (NLP and Speech Recognition)
Explanation:Virtual assistants rely on Automatic Speech Recognition (ASR) to convert audio to text and Natural Language Understanding (NLU) to process the intent and generate a response.
Incorrect! Try again.
12What type of AI model is ChatGPT?
A.Large Language Model (LLM) based on Transformer architecture.
B.Simple Rule-Based Chatbot.
C.Image Recognition Convolutional Network.
D.Linear Regression Model.
Correct Answer: Large Language Model (LLM) based on Transformer architecture.
Explanation:ChatGPT is based on the GPT (Generative Pre-trained Transformer) architecture, which is a type of Large Language Model designed to generate human-like text.
Incorrect! Try again.
13In a Driverless Car, which sensor is commonly used to create a precise 3D map of the surroundings using laser pulses?
A.Sonar
B.LIDAR (Light Detection and Ranging)
C.Thermometer
D.Barometer
Correct Answer: LIDAR (Light Detection and Ranging)
Explanation:LIDAR uses pulsed laser light to measure distances to the Earth, generating precise, three-dimensional information about the shape of the car's environment.
Incorrect! Try again.
14What is the role of an Inference Engine in an Expert System?
A.To store data permanently.
B.To apply rules to the knowledge base to deduce new information.
C.To connect to the internet.
D.To visualize data in charts.
Correct Answer: To apply rules to the knowledge base to deduce new information.
Explanation:The Inference Engine is the processing component that applies logical rules to the known facts (in the Knowledge Base) to deduce new facts or reach a conclusion.
Incorrect! Try again.
15Which Python library is most commonly associated with building deep learning models (e.g., created by Google)?
A.ReactJS
B.TensorFlow
C.jQuery
D.Bootstrap
Correct Answer: TensorFlow
Explanation:TensorFlow is an open-source library developed by Google, widely used for machine learning and deep learning applications.
Incorrect! Try again.
16Which of the following describes Supervised Learning?
A.The model learns from unlabeled data by finding hidden patterns.
B.The model learns from a labeled dataset with input-output pairs.
C.The model learns through trial and error using a reward system.
D.The model does not learn but follows hard-coded rules.
Correct Answer: The model learns from a labeled dataset with input-output pairs.
Explanation:In supervised learning, the algorithm is trained on a labeled dataset, meaning the input data is tagged with the correct output/answer.
Incorrect! Try again.
17Which job role focuses primarily on deploying, monitoring, and maintaining machine learning models in production environments?
Explanation:While Data Scientists build models, Machine Learning Engineers (or MLOps engineers) focus on the engineering aspects: deploying models to production, scaling them, and maintaining their performance.
Incorrect! Try again.
18What does the term 'Hallucination' refer to in the context of Generative AI (like ChatGPT)?
A.The AI becoming sentient.
B.The AI generating confident but factually incorrect or nonsensical information.
C.The AI refusing to answer a question.
D.The AI processing images instead of text.
Correct Answer: The AI generating confident but factually incorrect or nonsensical information.
Explanation:Hallucination in AI occurs when a large language model generates text that is grammatically correct and sounds plausible but is factually wrong or not based on the source data.
Incorrect! Try again.
19Which mathematical concept is fundamental to the operation of Neural Networks, particularly in updating weights during backpropagation?
A.Calculus (Derivatives/Gradients)
B.Geometry
C.Number Theory
D.Topology
Correct Answer: Calculus (Derivatives/Gradients)
Explanation:Calculus, specifically partial derivatives and gradients, is used in the optimization process (Gradient Descent) to minimize the error function by adjusting weights.
Incorrect! Try again.
20What is Computer Vision?
A.A monitor display technology.
B.A field of AI enabling computers to derive meaningful information from digital images and videos.
C.Eyeglasses for computer users.
D.A programming language for graphics.
Correct Answer: A field of AI enabling computers to derive meaningful information from digital images and videos.
Explanation:Computer Vision is the field of AI that trains computers to interpret and understand the visual world, used in facial recognition, self-driving cars, and medical imaging.
Incorrect! Try again.
21Which level of autonomy in self-driving cars implies full automation where no human driver is required at all?
A.Level 1
B.Level 2
C.Level 3
D.Level 5
Correct Answer: Level 5
Explanation:According to the SAE levels of driving automation, Level 5 represents full automation where the vehicle performs all driving tasks under all conditions without human intervention.
Incorrect! Try again.
22The process of reducing a word to its base or root form in NLP (e.g., 'running' to 'run') is called:
A.Tokenization
B.Stemming/Lemmatization
C.Clustering
D.Regression
Correct Answer: Stemming/Lemmatization
Explanation:Stemming and Lemmatization are text normalization techniques in NLP used to prepare text, words, and documents for further processing by reducing inflectional forms to a common base form.
Incorrect! Try again.
23Which of the following is a popular library for Data Analysis and Manipulation in Python, often used before feeding data into ML models?
A.Pandas
B.Unity
C.jQuery
D.Flask
Correct Answer: Pandas
Explanation:Pandas is a foundational Python library providing high-performance, easy-to-use data structures (DataFrames) and data analysis tools.
Incorrect! Try again.
24In the context of AI tools, what is Jupyter Notebook?
A.A hardware laptop designed for AI.
B.A web-based interactive computing environment for creating documents with live code, equations, and visualizations.
C.A physical notebook for writing algorithms.
D.A database management system.
Correct Answer: A web-based interactive computing environment for creating documents with live code, equations, and visualizations.
Explanation:Jupyter Notebook is widely used in Data Science and ML for exploratory analysis, allowing code execution (usually Python) alongside rich text and plots.
Incorrect! Try again.
25What is a neural network inspired by?
A.The biological structure of the human brain.
B.The solar system.
C.The structure of DNA.
D.Computer circuit boards.
Correct Answer: The biological structure of the human brain.
Explanation:Artificial Neural Networks (ANNs) are computational models inspired by the biological neural networks that constitute animal brains, consisting of interconnected nodes (neurons).
Incorrect! Try again.
26Which of the following is a key skill required for an AI/ML professional?
A.Carpentry
B.Statistics and Probability
C.Chemical Engineering
D.History
Correct Answer: Statistics and Probability
Explanation:Mathematics, specifically linear algebra, calculus, and statistics/probability, forms the theoretical foundation of machine learning algorithms.
Incorrect! Try again.
27Identify the type of learning: An agent learns to play a game by receiving points for winning and losing points for crashing.
A.Supervised Learning
B.Unsupervised Learning
C.Reinforcement Learning
D.Semi-supervised Learning
Correct Answer: Reinforcement Learning
Explanation:Reinforcement Learning involves an agent learning to make decisions by performing actions in an environment and receiving feedback in the form of rewards or penalties.
Incorrect! Try again.
28Which AI application is used to predict stock market trends?
A.Predictive Analytics
B.Computer Vision
C.Speech Synthesis
D.Augmented Reality
Correct Answer: Predictive Analytics
Explanation:Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes, such as stock price movements.
Incorrect! Try again.
29What is the specific subset of Machine Learning where algorithms are structured in layers to create an 'Artificial Neural Network'?
A.Deep Learning
B.Fuzzy Logic
C.Expert Systems
D.Linear Programming
Correct Answer: Deep Learning
Explanation:Deep Learning is defined by the use of neural networks with many layers (hence 'deep') to model complex patterns in data.
Incorrect! Try again.
30In NLP, what is Sentiment Analysis?
A.Translating text from one language to another.
B.Determining the emotional tone (positive, negative, neutral) behind a series of words.
C.Checking for grammar errors.
D.Converting speech to text.
Correct Answer: Determining the emotional tone (positive, negative, neutral) behind a series of words.
Explanation:Sentiment Analysis is used to understand the opinion or emotion expressed in a piece of text, widely used in social media monitoring and customer feedback analysis.
Incorrect! Try again.
31Which of the following is a limitation of current Weak AI (ANI)?
A.It cannot process data faster than humans.
B.It lacks general consciousness and can only perform specific tasks it was trained for.
C.It cannot perform mathematical calculations.
D.It requires no power source.
Correct Answer: It lacks general consciousness and can only perform specific tasks it was trained for.
Explanation:Artificial Narrow Intelligence (ANI) or Weak AI excels at specific tasks (like Chess or Face ID) but lacks the broad cognitive abilities and consciousness of a human (AGI).
Incorrect! Try again.
32What is the "Wake Word" for Amazon's voice assistant?
A.Hey Google
B.Siri
C.Alexa
D.Cortana
Correct Answer: Alexa
Explanation:Amazon's devices listen for the wake word "Alexa" (or customizable options like "Echo") to begin processing voice commands.
Incorrect! Try again.
33Which current trend involves making AI decision-making processes transparent and understandable to humans?
A.Black Box AI
B.Explainable AI (XAI)
C.Deep Fakes
D.Quantum AI
Correct Answer: Explainable AI (XAI)
Explanation:Explainable AI (XAI) is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms.
Incorrect! Try again.
34In the context of Expert Systems, the 'If-Then' structure is known as:
A.Production Rules
B.Neural Weights
C.Fuzzy Sets
D.Hyperparameters
Correct Answer: Production Rules
Explanation:Expert systems typically use a rule-based approach where knowledge is represented as "If [condition] Then [consequence]", known as production rules.
Incorrect! Try again.
35Which of the following is NOT a common application of AI in healthcare?
A.Robotic Surgery assistance
B.Early detection of cancer via imaging
C.Virtual Nursing Assistants
D.Manual filing of paper records
Correct Answer: Manual filing of paper records
Explanation:Manual filing is a non-digital, labor-intensive task. AI is used to automate digital record keeping, diagnosis, and surgical assistance.
Incorrect! Try again.
36What is the primary function of Scikit-learn in the Python ecosystem?
A.Web Development
B.Providing standard Machine Learning algorithms (Regression, Classification, Clustering).
C.Game Design
D.Mobile App Creation
Correct Answer: Providing standard Machine Learning algorithms (Regression, Classification, Clustering).
Explanation:Scikit-learn is a robust library for classical machine learning algorithms like regression, SVM, random forests, and k-means clustering.
Incorrect! Try again.
37Which feature allows Siri to improve over time?
A.Hardware upgrades only.
B.Machine Learning algorithms that adapt to the user's voice and usage patterns.
C.Manual reprogramming by the user.
D.Battery replacement.
Correct Answer: Machine Learning algorithms that adapt to the user's voice and usage patterns.
Explanation:Personal assistants use ML to learn user preferences, accent, and vocabulary over time to improve accuracy and relevance.
Incorrect! Try again.
38In the context of AI ethics, what does Bias refer to?
A.The electricity consumed by the computer.
B.Systematic and unfair discrimination in results due to prejudiced training data or algorithmic assumptions.
C.The speed of the processor.
D.The cost of the software.
Correct Answer: Systematic and unfair discrimination in results due to prejudiced training data or algorithmic assumptions.
Explanation:AI Bias occurs when an algorithm produces results that are systematically prejudiced due to erroneous assumptions in the machine learning process or biased training data.
Incorrect! Try again.
39What technology allows Pokemon GO to place a Pokemon character on your living room floor through your phone camera?
A.Virtual Reality
B.Augmented Reality
C.Holography
D.3D Printing
Correct Answer: Augmented Reality
Explanation:This is a classic example of AR, where digital objects act as if they are present in the real world as viewed through a device.
Incorrect! Try again.
40Which mathematical function is often used as an Activation Function in neural networks to map outputs between 0 and 1?
A.Sine Function
B.Sigmoid Function ()
C.Pythagorean Theorem
D.Quadratic Formula
Correct Answer: Sigmoid Function ()
Explanation:The Sigmoid function creates an S-shaped curve that maps any input to a value between 0 and 1, useful for probability prediction in logistic regression and neural networks.
Incorrect! Try again.
41What is the primary goal of Unsupervised Learning?
A.To predict a specific target variable.
B.To discover hidden patterns or structures in data without labeled responses.
C.To win a game.
D.To translate language.
Correct Answer: To discover hidden patterns or structures in data without labeled responses.
Explanation:Unsupervised learning (e.g., clustering) deals with input data that does not have labeled outputs, seeking to group similar data points together.
Incorrect! Try again.
42Which of the following is a burgeoning career opportunity in AI focused on the legal and moral implications of technology?
A.AI Ethicist
B.Python Developer
C.Database Administrator
D.Cloud Architect
Correct Answer: AI Ethicist
Explanation:As AI impacts society, the role of AI Ethicist is growing to ensure systems are fair, transparent, and adhere to privacy and human rights standards.
Incorrect! Try again.
43How does AI benefit Customer Service?
A.By replacing all phone lines with email.
B.Through Chatbots that provide 24/7 instant responses to common queries.
C.By increasing wait times.
D.By removing the need for websites.
Correct Answer: Through Chatbots that provide 24/7 instant responses to common queries.
Explanation:AI-powered chatbots and virtual agents handle routine inquiries instantly at any time of day, freeing up human agents for complex issues.
Incorrect! Try again.
44In a Driverless Car, what is Sensor Fusion?
A.Melting sensors together.
B.Combining data from multiple sensors (LIDAR, Radar, Cameras) to get a reliable understanding of the environment.
C.Using only one type of sensor to save money.
D.The battery system of the car.
Correct Answer: Combining data from multiple sensors (LIDAR, Radar, Cameras) to get a reliable understanding of the environment.
Explanation:Sensor fusion integrates data from various distinct sources to reduce uncertainty and create a more accurate model of the surroundings than any single sensor could provide.
Incorrect! Try again.
45Which of the following describes the Turing Test scenario?
A.A robot runs a race against a human.
B.A computer attempts to fool a human evaluator into thinking it is a human during a text-based conversation.
C.A computer solves a complex math problem.
D.A computer recognizes images of cats.
Correct Answer: A computer attempts to fool a human evaluator into thinking it is a human during a text-based conversation.
Explanation:The Turing Test involves a human evaluator interacting with a machine and a human; if the evaluator cannot reliably tell which is which, the machine is said to pass.
Incorrect! Try again.
46What is Edge AI?
A.AI algorithms processed locally on a hardware device (like a phone or IoT device) rather than in a remote cloud.
B.AI that lives on the edge of the internet.
C.AI that is very risky.
D.Old-fashioned AI.
Correct Answer: AI algorithms processed locally on a hardware device (like a phone or IoT device) rather than in a remote cloud.
Explanation:Edge AI brings computation and data storage closer to the sources of data (the 'edge'), improving response times and saving bandwidth.
Incorrect! Try again.
47To implement a Face Recognition system, which specific type of Neural Network is most effective?
Explanation:CNNs are specifically designed to process pixel data and are the standard architecture for image recognition and computer vision tasks.
Incorrect! Try again.
48Which soft skill is increasingly important for AI professionals to effectively communicate complex findings to non-technical stakeholders?
A.Data Storytelling / Communication
B.Coding speed
C.Memorization
D.Typing speed
Correct Answer: Data Storytelling / Communication
Explanation:While technical skills are vital, the ability to explain what an AI model does and the business value of its insights (Data Storytelling) is crucial for adoption.
Incorrect! Try again.
49What is the core technology behind Bitcoin that is often discussed alongside AI for secure data sharing?
A.Blockchain
B.SQL
C.TCP/IP
D.HTML
Correct Answer: Blockchain
Explanation:Blockchain is a decentralized ledger technology. While distinct from AI, the two are often converged (Decentralized AI) to ensure data security and integrity in AI training.
Incorrect! Try again.
50When defining a problem for Machine Learning, if the target variable is continuous (e.g., predicting house prices), the problem is classified as:
A.Classification
B.Regression
C.Clustering
D.Reinforcement
Correct Answer: Regression
Explanation:In supervised learning, if the output is a continuous numerical value (like price, temperature, age), the task is called Regression. If it is categorical (like Spam/Not Spam), it is Classification.
Incorrect! Try again.
Give Feedback
Help us improve by sharing your thoughts or reporting issues.