Q1. Which of the following is not a subfield of artificial intelligence?
a) Machine Learning
b) Robotics
c) Bioinformatics
d) Cybersecurity
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Correct Answer: c) Bioinformatics
Explanation: Bioinformatics is a distinct field focused on analyzing biological data using computational methods, while the other options are subfields within artificial intelligence. Machine learning deals with algorithms that enable computers to learn from data, robotics involves designing and operating robots, and cybersecurity focuses on protecting computer systems from unauthorized access.
Q2. What does the term “AI” stand for?
a) Automated Inference
b) Artificial Insight
c) Algorithmic Intelligence
d) Artificial Intelligence
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Correct Answer: d) Artificial Intelligence
Explanation: The term “AI” stands for Artificial Intelligence. It refers to the simulation of human intelligence processes by machines, including learning, reasoning, and self-correction.
Q3. Which programming language is commonly used for implementing artificial intelligence algorithms?
a) C++
b) Java
c) Python
d) Ruby
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Correct Answer: c) Python
Explanation: Python is widely used for implementing artificial intelligence algorithms due to its simplicity, readability, and the availability of numerous libraries and frameworks tailored for AI development, such as TensorFlow, PyTorch, and scikit-learn.
Q4. Which technique allows computers to learn from experience and improve their performance over time?
a) Neural Networks
b) Genetic Algorithms
c) Reinforcement Learning
d) Expert Systems
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Correct Answer: c) Reinforcement Learning
Explanation: Reinforcement learning is a machine learning technique where an agent learns to make decisions by trial and error, receiving feedback in the form of rewards or penalties. Through this process, the agent improves its performance over time.
Q5. What is the primary goal of natural language processing (NLP)?
a) Recognizing and understanding human languages by computers
b) Generating random text using algorithms
c) Converting images into text
d) Analyzing DNA sequences
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Correct Answer: a) Recognizing and understanding human languages by computers
Explanation: Natural language processing (NLP) focuses on enabling computers to understand, interpret, and generate human language, allowing them to interact with humans more effectively.
Q6. Which type of neural network is typically used for image recognition tasks?
a) Recurrent Neural Network (RNN)
b) Convolutional Neural Network (CNN)
c) Multilayer Perceptron (MLP)
d) Long Short-Term Memory (LSTM)
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Correct Answer: b) Convolutional Neural Network (CNN)
Explanation: Convolutional Neural Networks (CNNs) are specifically designed for processing and analyzing visual data, making them well-suited for tasks such as image recognition and object detection.
Q7. What is the term for the process of training a machine learning model on one dataset and evaluating its performance on another dataset?
a) Unsupervised Learning
b) Semi-supervised Learning
c) Transfer Learning
d) Cross-validation
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Correct Answer: d) Cross-validation
Explanation: Cross-validation is a technique used to assess the performance of a machine learning model by training it on one subset of data (training set) and evaluating its performance on another subset (validation set or test set).
Q8. Which of the following is an example of a supervised learning algorithm?
a) K-means clustering
b) Decision Trees
c) K-nearest neighbors (KNN)
d) Apriori algorithm
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Correct Answer: b) Decision Trees
Explanation: Decision Trees is a supervised learning algorithm used for classification and regression tasks, where the algorithm learns from labeled data to make predictions.
Q9. Which AI technique mimics the process of natural selection to evolve solutions to complex problems?
a) Genetic Algorithms
b) Ant Colony Optimization
c) Simulated Annealing
d) Tabu Search
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Correct Answer: a) Genetic Algorithms
Explanation: Genetic Algorithms are inspired by the process of natural selection and use principles of evolution to iteratively generate and improve solutions to optimization and search problems.
Q10. Which AI application involves the use of algorithms to analyze and interpret medical images?
a) Autonomous Vehicles
b) Speech Recognition
c) Medical Imaging Diagnosis
d) Natural Language Processing
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Correct Answer: c) Medical Imaging Diagnosis
Explanation: Medical Imaging Diagnosis involves the use of artificial intelligence algorithms to analyze and interpret medical images such as X-rays, MRIs, and CT scans, aiding in the diagnosis of various medical conditions.