Introduction India, with its immense human capital and burgeoning economy, is at a pivotal juncture…
MCQs with answers on the topic “Breakthroughs in Artificial Intelligence and Machine Learning”
1. What is the primary focus of Artificial Intelligence (AI)?
A) Data Encryption
B) Automating physical processes
C) Mimicking human cognitive functions
D) Human-computer interaction
Answer: C) Mimicking human cognitive functions
2. Which of the following is a popular algorithm used in supervised learning?
A) K-Means
B) Linear Regression
C) PCA
D) DBSCAN
Answer: B) Linear Regression
3. What does the term “deep learning” refer to in AI?
A) Learning from shallow data sets
B) A subset of machine learning using neural networks with many layers
C) Learning that involves self-awareness
D) Data compression techniques
Answer: B) A subset of machine learning using neural networks with many layers
4. In which year was the term “Artificial Intelligence” first coined?
A) 1943
B) 1956
C) 1962
D) 1975
Answer: B) 1956
5. Which machine learning technique is used for classification and regression tasks?
A) Random Forest
B) K-Means Clustering
C) Principle Component Analysis
D) Apriori Algorithm
Answer: A) Random Forest
6. What is the major breakthrough of Google DeepMind’s AlphaGo?
A) Defeating world champion in chess
B) Playing video games better than humans
C) Beating humans in the game of Go
D) Predicting weather patterns
Answer: C) Beating humans in the game of Go
7. What is the role of a convolutional neural network (CNN) in AI?
A) Language translation
B) Natural language processing
C) Image recognition and processing
D) Music composition
Answer: C) Image recognition and processing
8. Which of the following is a famous algorithm used for unsupervised learning?
A) Logistic Regression
B) K-Means Clustering
C) Decision Trees
D) Linear Regression
Answer: B) K-Means Clustering
9. Which of the following is the key to improving machine learning models?
A) Large volumes of data
B) Manual programming of rules
C) Human intervention in decision-making
D) Reduction of model complexity
Answer: A) Large volumes of data
10. Which breakthrough in AI involves machines understanding, interpreting, and generating human language?
A) Image recognition
B) Natural Language Processing (NLP)
C) Game theory
D) Speech recognition
Answer: B) Natural Language Processing (NLP)
11. Who is considered the father of Artificial Intelligence?
A) Alan Turing
B) John McCarthy
C) Marvin Minsky
D) Geoffrey Hinton
Answer: B) John McCarthy
12. What is the primary function of reinforcement learning in machine learning?
A) Labeling data
B) Reducing errors in supervised learning
C) Reward-based learning through interaction with the environment
D) Making predictions based on historical data
Answer: C) Reward-based learning through interaction with the environment
13. Which of the following is a key breakthrough in AI for autonomous vehicles?
A) Deep Q-learning
B) Convolutional Neural Networks
C) Simultaneous Localization and Mapping (SLAM)
D) Nearest Neighbor Algorithm
Answer: C) Simultaneous Localization and Mapping (SLAM)
14. In AI, what does NLP stand for?
A) Natural Logical Programming
B) Neural Language Protocol
C) Natural Language Processing
D) Network Learning Process
Answer: C) Natural Language Processing
15. Which of these is a significant application of AI in healthcare?
A) Disease prediction models
B) Quantum computing
C) Software debugging
D) Financial forecasting
Answer: A) Disease prediction models
16. What is “Transfer Learning” in the context of machine learning?
A) Training models without labeled data
B) Reusing a pre-trained model for new but similar tasks
C) Adding layers to a neural network
D) Training a model across different platforms
Answer: B) Reusing a pre-trained model for new but similar tasks
17. Which algorithm is most commonly used for recommendation systems in e-commerce?
A) K-Means Clustering
B) Collaborative Filtering
C) Naive Bayes
D) Reinforcement Learning
Answer: B) Collaborative Filtering
18. Which AI technique is most commonly used in facial recognition systems?
A) Convolutional Neural Networks (CNN)
B) Linear Regression
C) K-Nearest Neighbors (KNN)
D) Support Vector Machines (SVM)
Answer: A) Convolutional Neural Networks (CNN)
19. In which year did IBM’s Watson win the quiz show “Jeopardy!” against human champions?
A) 2008
B) 2010
C) 2011
D) 2013
Answer: C) 2011
20. What is the main challenge in AI known as “the black-box problem”?
A) Machines make decisions without human intervention
B) AI models cannot explain how they arrived at a decision
C) AI systems require excessive computing power
D) Machines cannot learn from real-world data
Answer: B) AI models cannot explain how they arrived at a decision
21. Which breakthrough in AI has led to human-like conversations with machines?
A) Genetic Algorithms
B) Natural Language Generation
C) Deep Learning Networks
D) Voice Synthesis
Answer: B) Natural Language Generation
22. What is the “Turing Test” used for in AI?
A) To test whether a machine can perform arithmetic tasks
B) To determine if a machine can exhibit human-like intelligence
C) To measure the speed of AI processing
D) To assess the memory capacity of a machine
Answer: B) To determine if a machine can exhibit human-like intelligence
23. In the context of machine learning, what is “overfitting”?
A) A model that performs well on training data but poorly on new data
B) A model that performs equally on both training and test data
C) A model that cannot be improved further
D) A model that avoids bias completely
Answer: A) A model that performs well on training data but poorly on new data
24. Which of the following companies is a pioneer in AI research and development?
A) Facebook
B) Tesla
C) OpenAI
D) Microsoft
Answer: C) OpenAI
25. Which technology is associated with AI in self-driving cars?
A) Virtual Reality
B) Computer Vision
C) Quantum Computing
D) Blockchain
Answer: B) Computer Vision
26. What is a key characteristic of “Generative Adversarial Networks” (GANs)?
A) One network generates fake data, while another evaluates its authenticity
B) Both networks generate the same type of data
C) One network only classifies data
D) The networks work independently of each other
Answer: A) One network generates fake data, while another evaluates its authenticity
27. What is the purpose of “Backpropagation” in neural networks?
A) To prevent overfitting in deep networks
B) To adjust the weights of the network by propagating errors backward
C) To prevent the network from getting stuck in local minima
D) To increase the depth of the network
Answer: B) To adjust the weights of the network by propagating errors backward
28. Which of the following is a popular application of AI in retail?
A) Predicting stock market trends
B) Inventory management through robotic automation
C) Fraud detection in banking
D) Recommending products based on customer behavior
Answer: D) Recommending products based on customer behavior
29. Which AI-based system is responsible for Google Search suggestions and advertisements?
A) Google Assistant
B) Google DeepMind
C) Google Brain
D) Google RankBrain
Answer: D) Google RankBrain
30. What is “Explainable AI” (XAI)?
A) AI that can provide explanations for its decisions
B) AI that explains complex mathematical theories
C) AI that uses machine translation for multilingual communication
D) AI that operates independently without human intervention
Answer: A) AI that can provide explanations for its decisions
