Q11. What is the primary function of a racing drone?
a) Aerial photography and videography
b) Surveillance and reconnaissance
c) Recreational racing competitions
d) Agricultural spraying
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Correct Answer: c) Recreational racing competitions
Explanation: Racing drones are primarily used for recreational racing competitions, where pilots compete in aerial races through obstacle courses, showcasing agility, speed, and piloting skills.
Q12. Which type of drone is commonly used for monitoring and protecting wildlife populations?
a) Fixed-wing drone
b) Quadcopter drone
c) Hexacopter drone
d) Glider drone
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Correct Answer: b) Quadcopter drone
Explanation: Quadcopter drones are commonly used for monitoring and protecting wildlife populations, providing aerial surveillance and data collection capabilities for conservation efforts, wildlife management, and anti-poaching operations.
Q13. What is the term for a drone equipped with lidar sensors for 3D mapping and surveying?
a) Mapping drone
b) Surveying drone
c) Lidar drone
d) Cartography drone
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Correct Answer: c) Lidar drone
Explanation: Lidar drones are equipped with lidar (Light Detection and Ranging) sensors for 3D mapping and surveying applications, allowing for accurate terrain mapping, topographic surveys, and infrastructure modeling.
Q14. Which type of drone is commonly used for capturing aerial footage in real estate photography?
a) Racing drone
b) Fixed-wing drone
c) Quadcopter drone
d) Glider drone
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Correct Answer: c) Quadcopter drone
Explanation: Quadcopter drones are commonly used for capturing aerial footage in real estate photography, providing real estate agents and property developers with high-quality images and videos for showcasing properties and land parcels.
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.