Q11. Which branch of AI deals with enabling computers to understand, interpret, and generate human-like speech?
a) Computer Vision
b) Robotics
c) Speech Recognition
d) Expert Systems
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Correct Answer: c) Speech Recognition
Explanation: Speech Recognition is a branch of artificial intelligence focused on enabling computers to recognize and understand human speech, allowing for applications such as virtual assistants and voice-controlled devices.
Q12. Which AI technique involves clustering similar data points together based on their characteristics?
a) Reinforcement Learning
b) Unsupervised Learning
c) Supervised Learning
d) Deep Learning
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Correct Answer: b) Unsupervised Learning
Explanation: Unsupervised Learning involves training algorithms on unlabeled data to discover patterns and structures within the data, such as clustering similar data points together without explicit guidance.
Q13. Which of the following is not a characteristic of artificial neural networks?
a) Ability to learn from data
b) Capability to generalize to unseen examples
c) High interpretability
d) Adaptability to new inputs
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Correct Answer: c) High interpretability
Explanation: Artificial neural networks are known for their ability to learn from data, generalize to unseen examples, and adapt to new inputs. However, they are often criticized for their lack of interpretability, as the internal workings of complex neural networks can be difficult to understand.
Q14. Which AI application involves the use of algorithms to recommend products or services to users based on their preferences and behavior?
a) Sentiment Analysis
b) Recommendation Systems
c) Fraud Detection
d) Autonomous Vehicles
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Correct Answer: b) Recommendation Systems
Explanation: Recommendation Systems use artificial intelligence algorithms to analyze user data and provide personalized recommendations for products, services, or content based on their preferences and behavior.
Q15. Which of the following is a key challenge in the development of artificial general intelligence (AGI)?
a) Data Privacy
b) Hardware Limitations
c) Ethical Concerns
d) Achieving Human-like Reasoning
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Correct Answer: d) Achieving Human-like Reasoning
Explanation: Achieving artificial general intelligence (AGI), which can perform any intellectual task that a human can, poses a significant challenge in the field of artificial intelligence, as it requires developing systems capable of human-like reasoning, understanding, and learning.
Q16. What is the term for the ability of a machine learning model to perform well on new, unseen examples?
a) Overfitting
b) Generalization
c) Bias
d) Variance
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Correct Answer: b) Generalization
Explanation: Generalization refers to the ability of a machine learning model to perform well on new, unseen examples beyond the training data it was exposed to, indicating its capability to learn underlying patterns rather than memorizing specific instances.
Q17. Which AI application involves the use of algorithms to detect and prevent fraudulent activities in financial transactions?
a) Sentiment Analysis
b) Recommendation Systems
c) Fraud Detection
d) Natural Language Processing
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Correct Answer: c) Fraud Detection
Explanation: Fraud Detection utilizes artificial intelligence algorithms to analyze patterns and anomalies in financial transactions, identifying potentially fraudulent activities and taking preventive measures.
Q18. Which of the following is a limitation of rule-based expert systems?
a) Limited to specific domains
b) Inability to handle uncertainty
c) Lack of scalability
d) All of the above
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Correct Answer: d) All of the above
Explanation: Rule-based expert systems are limited to specific domains, struggle to handle uncertainty and incomplete information, and may lack scalability due to the rigid nature of rule-based reasoning.
Q19. What is the primary objective of an artificial intelligence agent in a reinforcement learning setting?
a) Minimize errors
b) Maximize rewards
c) Achieve perfect accuracy
d) Minimize computational resources
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Correct Answer: b) Maximize rewards
Explanation: In reinforcement learning, the primary objective of an artificial intelligence agent is to maximize cumulative rewards by learning optimal actions through trial and error interactions with the environment.
Q20. Which AI application involves the use of algorithms to analyze and interpret human emotions from textual data?
a) Speech Recognition
b) Sentiment Analysis
c) Natural Language Processing
d) Facial Recognition
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Correct Answer: b) Sentiment Analysis
Explanation: Sentiment Analysis, also known as opinion mining, involves using natural language processing and machine learning techniques to analyze and interpret human emotions, attitudes, and opinions expressed in textual data.