Selected MCQ

Current Question
What is 'reinforcement learning' primarily used for?
  • A. Classifying data into labels
  • B. Reducing dimensionality
  • C. Learning to make decisions via rewards
  • D. Clustering unlabeled data
Correct Answer: C
Explanation:
Reinforcement learning is about learning optimal actions based on rewards and penalties from an environment.
Related Question 1
In IoT, what is MQTT primarily used for?
  • A. Hardware design
  • B. Lightweight messaging protocol
  • C. Database management
  • D. Encryption standard
Correct Answer: B
Explanation:
MQTT is a lightweight publish/subscribe messaging protocol widely used in IoT.
Related Question 2
What is the Robot Operating System (ROS) primarily used for?
  • A. Operating the sensors and motors of robots
  • B. A middleware framework to control and interface with robots
  • C. Real-time operation of robot arms
  • D. Simulating robots in video games
Correct Answer: B
Explanation:
ROS is a flexible framework for writing robot software, providing tools and libraries for building robot applications.
Related Question 3
What is a generative adversarial network (GAN) primarily used for?
  • A. Classification
  • B. Clustering
  • C. Generating synthetic data
  • D. Dimensionality reduction
Correct Answer: C
Explanation:
A GAN consists of a generator and a discriminator; it is used to generate new data instances similar to the training set.
Related Question 4
Which of the following best describes reinforcement learning?
  • A. Learning from labeled examples
  • B. Learning from unlabeled data via clustering
  • C. Learning through trial-and-error with rewards
  • D. A technique for anomaly detection
Correct Answer: C
Explanation:
Reinforcement learning involves an agent learning to make decisions by receiving rewards or penalties from the environment.
Related Question 5
Which emerging tech generates realistic human images and voices via deep learning?
  • A. Blockchain
  • B. Generative AI (e.g., GANs)
  • C. Quantum computing
  • D. Fiber optics
Correct Answer: B
Explanation:
Generative AI models such as GANs can generate realistic synthetic images, audio, and text.