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MCQ Practice

Technological Knowledge MCQs

In robot control, what does PID stand for?

  • A. Power, Integration, Discharge
  • B. Proportional, Integral, Derivative
  • C. Position, Information, Data
  • D. Process, Inhibit, Delete
Explanation:
PID stands for Proportional-Integral-Derivative, a type of feedback controller.

What is the advantage of using ROS (Robot Operating System)?

  • A. It designs robot hardware
  • B. It provides a standard platform for robot software components
  • C. It replaces the operating system
  • D. It secures robot networks
Explanation:
ROS offers tools and libraries to simplify robot software development and integration.

Which of these is an example of a robot mobility mechanism?

  • A. Stepper motor
  • B. Hovercraft propulsion
  • C. USB interface
  • D. Ultrasonic sensor
Explanation:
Hovercraft propulsion (or wheels, tracks) provides movement; the stepper motor is the actuator, and the ultrasonic is the sensor.

What is the main function of SLAM (Simultaneous Localization and Mapping) in autonomous robots?

  • A. Encrypt communication
  • B. Map the environment while tracking the robot’s position
  • C. Manage power distribution
  • D. Control joint actuators
Explanation:
SLAM enables a robot to build a map of an unknown environment while simultaneously tracking its own position.

Which of these is a kinematic model describing a robot's motion over time?

  • A. Euler equation
  • B. Kinetic equation
  • C. Dynamic equation
  • D. Kinematic equations (like velocity and acceleration)
Explanation:
Kinematic equations describe motion using parameters such as velocity and acceleration, without considering forces.

What sensor does a robot use for mapping its surroundings using laser beams?

  • A. Gyroscope
  • B. Lidar
  • C. GPS
  • D. Thermometer
Explanation:
LiDAR uses laser pulses to measure distances and help create a map of the environment.

What does it mean if a model has high bias?

  • A. It oversimplifies and underfits data
  • B. It memorizes the training set
  • C. It uses too many features
  • D. It has redundant layers
Explanation:
High bias means the model is too simple and fails to capture underlying patterns (underfitting).

What is the main function of dropout layers in a neural network?

  • A. Speed up training by skipping layers
  • B. Prevent co-adaptation of neurons to reduce overfitting
  • C. Ensure output is always positive
  • D. Increase network depth
Explanation:
Dropout randomly turns off neurons during training, reducing overfitting.

Which term describes training a model on multiple GPUs or servers simultaneously?

  • A. Distributed training
  • B. Batch processing
  • C. Layer-wise training
  • D. Fusion
Explanation:
Distributed training spreads the training process across multiple devices or machines.

What is 'ensemble learning' in machine learning?

  • A. Training deep networks only
  • B. Combining predictions of multiple models
  • C. Feature scaling process
  • D. A single-model hyperparameter search
Explanation:
Ensemble learning combines predictions from several models to improve overall performance.