Artificial Intelligence (AI) MCQs - Part 3 | TechSpark AI

  

 Artificial Intelligence (AI) MCQs | TechSpark AI

(Part 3)

1. Which of the following is a type of unsupervised learning algorithm?

   a) Decision trees  
   b) K-means clustering  
   c) Support vector machines  
   d) Naive Bayes  

2. What is the main focus of robotics in AI?

   a) Data processing  
   b) Machine learning  
   c) Autonomous control and decision-making  
   d) Cybersecurity  

3. Which of the following is an example of AI in finance?

   a) ATM transactions  
   b) Fraud detection systems  
   c) Online banking portals  
   d) Currency exchange rates  

4. What is overfitting in the context of machine learning?

   a) A model that is too simple  
   b) A model that performs well on training data but poorly on new data  
   c) A model that generalizes well  
   d) A model with insufficient training data  

5. Which of the following AI techniques is used for prediction?

   a) Regression  
   b) Classification  
   c) Clustering  
   d) Dimensionality reduction  

6. What is the primary objective of reinforcement learning?

   a) To classify data  
   b) To cluster data  
   c) To maximize a cumulative reward  
   d) To generate synthetic data  

7. In AI, what is an agent?

   a) A piece of software that acts on behalf of a user  
   b) A hardware component  
   c) A type of data storage  
   d) A programming language  

8. What is the main advantage of using AI in manufacturing?

   a) Increased worker satisfaction  
   b) Higher product quality  
   c) Increased operational costs  
   d) Slower production time  

9. Which AI algorithm is most commonly used for image recognition?

   a) Decision trees  
   b) Convolutional neural networks (CNNs)  
   c) Support vector machines  
   d) K-nearest neighbors  

10. What is the primary challenge of AI ethics?

   a) Developing new algorithms  
   b) Managing computational resources  
   c) Addressing bias, fairness, and accountability  
   d) Enhancing data storage capabilities