- 1. involves creating software applications that run on web servers and are
accessed through web browsers.
A) Define objectives
B) Web application development
C) Gather requirements
- 2. Identify what you want to achieve with the web application.
A) Web application development
B) Define Objectives
C) Gather requirements
- 3. Collect detailed information about user needs, features, and functionality.
A) Web application development
B) Define objectives
C) Gather Requirements
- 4. Outline the project scope, timeline, and resources needed.
A) Web application development
B) Create a project plan
C) Define objectives
- 5. Structures the content on web pages (headings, paragraphs, links, images)
A) CSS ( cascading style sheet)
B) HTML (hypertext markup language)
C) Databases
D) Server-Side Languages:
- 6. Style the appearance of web pages, including layout, colors, and fonts
A) Databases:
B) CSS (Cascading Style Sheets)
C) HTML (HyperText Markup Language)
- 7. Adds interactivity and dynamic features to web pages (forms,
animations, API interactions).
A) JavaScript
B) Server-Side Languages
C) Databases:
- 8. Design the visual elements of the application, including colors,
typography, and layout.
A) User Interface (UI)
B) User Experience (UX)
C) CSS (Cascading Style Sheets)
D) HTML (HyperText Markup Language)
- 9. Enable communication between the front-end and back-end
A) Databases
B) Server-Side Languages
C) APIs (Application Programming Interfaces)
- 10. Store and manage application data using relational.
A) Databases
B) APIs (Application Programming Interfaces)
C) Server-Side Languages
- 11. Use languages such as Node.js, Python, Ruby, PHP, Java, or .NET.
A) APIs (Application Programming Interfaces)
B) Databases
C) Server-Side Languages
- 12. Combine front-end and back-end components, and ensure they work together
A) Integration
B) Hosting
C) Testing
- 13. Perform various types of testing, including unit testing, integration testing, and end-to-end
testing.
A) Hosting
B) Integration
C) Testing
- 14. Deploy the application to a web server or cloud service (e.g., AWS, Azure, Heroku)
A) Hosting
B) Integration
C) Testing
- 15. Known for its readability and simplicity. Widely used for web
development, data analysis, and automation.
A) Python
B) PHP
C) Ruby
- 16. Known for its elegant syntax and productivity.
A) Python
B) Ruby
C) PHP
- 17. A widely-used language for server-side scripting, especially for web development.
A) Python
B) Ruby
C) PHP
- 18. Developed by Microsoft, often used for building applications on the
.NET framework.
o Popular Framework.
A) Ruby
B) C#
C) Go (Golang)
- 19. Known for its performance and efficiency in handling concurrent tasks.
A) C#
B) Go (Golang)
C) Ruby
- 20. A Windows-based solution that includes Apache, MySQL, and PHP.
A) WAMP (Windows, Apache, MySQL, PHP)
B) MAMP (Mac, Apache, MySQL, PHP)
- 21. A macOS-based tool (also available for Windows) that provides a local
server environment with Apache, MySQL, and PHP.
A) WAMP (Windows, Apache, MySQL, PHP)
B) MAMP (Mac, Apache, MySQL, PHP)
- 22. A portable, fast, and isolated development environment for PHP, Laravel,
and other web technologies on Windows.
A) AMPPS
B) Docker
C) Laragon
- 23. cross-platform stack (Windows, macOS, Linux) that includes Apache,
MySQL, PHP, and Softaculous (for installing web apps).
A) Laragon
B) Docker
C) AMPPS
- 24. A tool for managing virtualized development environments. Works with
virtual machines or containers.
A) DevDesktop by Acquia
B) Vagrant
C) DesktopServer
- 25. A local development environment tailored for Drupal sites but can be
configured for other CMS.
A) Vagrant
B) DesktopServer
C) DevDesktop by Acquia
- 26. A local development environment designed specifically for WordPress and
other PHP-based applications.
A) DesktopServer
B) DevDesktop by Acquia
C) Vagrant
- 27. is an interdisciplinary field that combines elements of engineering, computer
science, and artificial intelligence to design, build, and operate robots.
A) Robotics
B) Manufacturing Robots:
C) Surgical Robots
- 28. Used for assembly, welding, painting, and quality control.
A) Robotics
B) Surgical Robots
C) Manufacturing Robots
- 29. Automated guided vehicles (AGVs) transport materials within
warehouses.
A) Surgical Robots
B) Manufacturing Robots
C) Material Handling
- 30. Systems like the da Vinci Surgical System enable minimally invasive
surgeries with high precision.
A) Surgical Robots
B) Domestic Robots
C) Robotics
- 31. Vacuum cleaners (e.g., Roomba) and lawnmowers automate
household chores.
A) Domestic Robots
B) Customer Service Robots
C) Surgical Robots
- 32. Robots like Pepper can interact with customers in retail environment
A) Surgical Robots
B) Domestic Robots
C) Customer Service Robots
- 33. Rovers like Curiosity explore Mars, conducting experiments and
sending data back to Earth.
A) Space Exploration
B) Underwater Robots
- 34. Autonomous underwater vehicles (AUVs) are used for ocean
exploration and research.
A) Space Exploration
B) Underwater Robots
- 35. capture visual information, enabling robots to "see" and interpret
their surroundings.
A) RGB Cameras
B) Depth Cameras
C) Cameras
- 36. Standard color cameras used for general vision tasks.
A) RGB Cameras
B) Depth Cameras
C) Cameras
- 37. Capture depth information to create 3D maps (e.g., Microsoft Kinect)
A) Depth Cameras
B) RGB Cameras
- 38. uses laser pulses to measure distances, creating high-resolution 3D
maps of the environment.
A) Ultrasonic Sensors
B) Lidar
- 39. These sensors measure distance using sound waves.
A) Ultrasonic Sensors
B) Lidar
- 40. Enhancing images by removing noise and adjusting
brightness/contrast.
A) Preprocessing
B) Feature Extraction
- 41. Identifying important features (edges, corners) that help in
object recognition.
A) Feature Extraction
B) Preprocessing
- 42. Assigning a class label to each pixel in an image for
more detailed understanding.
A) Semantic Segmentation
B) Object Detection
- 43. Techniques like Haar cascades, HOG (Histogram of Oriented
Gradients), and deep learning methods (e.g., Convolutional Neural Networks -
CNNs).
A) Object Detection
B) Semantic Segmentation
- 44. a foundational aspect of robotics that enables intelligent behavior
and interaction with the world. Understanding how robots perceive their environment
A) Autonomous Vehicles
B) Drones
C) Robot perception
- 45. Use perception for navigation, obstacle avoidance, and monitoring tasks.
A) Robot perception
B) Drones
C) Autonomous Vehicles
- 46. Robots like Pepper utilize cameras and sensors to interact and
respond to human commands.
A) Autonomous Vehicles
B) Drones
C) Service Robots
- 47. refers to the ability of a robot to determine its position and
navigate through an environment without human intervention.
A) Autonomous Vehicles
B) Service Robots
C) Drones
- 48. The process of determining a feasible route from the robot's current
position to its destination.
A) path planning
B) Mapping:
C) Localization
- 49. Creating a representation of the environment, which can be a grid map,
occupancy grid, or a more complex spatial model.
A) Localization
B) path planning
C) Mapping
- 50. Determining the robot's position within a map or environment using
sensors.
A) Localization
B) Path Planning
C) Mapping
- 51. Making immediate decisions based on sensor data.
A) Predictive Algorithm
B) Reactive Navigation
- 52. Anticipating the movement of obstacles and planning
accordingly.
A) Predictive Algorithm
B) Reactive Navigation
- 53. Determines the overall path using a complete map of the
environment.
A) Local Planning
B) Global Planning
- 54. Reacts to dynamic changes in the environment (e.g., moving
obstacles).
A) Global Planning
B) Local Planning
- 55. Techniques to detect and respond to obstacles in real-time, ensuring safe navigation.
A) Obstacle Avoidance
B) Predictive Algorithms
C) Local Planning
D) Reactive Navigation
- 56. A classical algorithm for finding the shortest paths from a source node to all
other nodes in a weighted graph.
A) Real-World Applications
B) Predictive Algorithms:
C) Dijkstra’s Algorithm
- 57. A popular pathfinding algorithm used in robotics and computer games.
A) Navigation Algorithms
B) Dijkstra’s Algorithm
C) Real-World Applications
- 58. is essential for enabling robots to operate independently in
dynamic environments. Understanding the principles, algorithms, and applications.
A) Navigation Algorithms
B) Autonomous navigation
C) Real-World Applications
- 59. Is an interdisciplinary field that explores how
humans and robots communicate, collaborate, and understand one another.
A) Feedback Mechanisms
B) Human-Robot Interaction (HRI)
C) Intuitive Interfaces
- 60. Robots that can clearly convey their intentions foster user trust.
A) Transparency
B) Reliability
- 61. Consistent and predictable behavior from robots builds confidence in
their capabilities, leading to greater user acceptance.
A) Reliability
B) Transparency
- 62. Interfaces designed to mimic human communication
styles—such as natural language processing and interactive touch
screens—enhance usability.
A) Intuitive Interfaces
B) Feedback Mechanisms
- 63. Providing users with real-time feedback on their
interactions enhances satisfaction.
A) Feedback Mechanisms
B) Intuitive Interfaces
- 64. Incorporating non-verbal communication,
such as head nods or smiles.
A) Gestures and Facial Expressions
B) Voice Modulation
- 65. Using a friendly tone and varying speech patterns can help
robots seem more approachable and engaging.
A) Gestures and Facial Expressions
B) Voice Modulation
- 66. Implementing technologies that enable robots to
recognize human emotions through facial expressions.
A) Adaptive Responses
B) Emotion Recognition
- 67. Designing robots that can adjust their behavior based on
the emotional state of users—such as providing comfort to someone.
A) Adaptive Responses
B) Emotion Recognition
- 68. Users need to know what to expect from robots.
A) Transparency
B) Predictability
- 69. Providing clear explanations of how robots make decisions helps
users understand and trust the technology.
A) Transparency
B) Predictability
- 70. Ethical considerations
regarding the collection, storage.
A) Data Protection
B) Informed Consent
- 71. Users should be informed about what data is being collected
and how it will be used, ensuring that they can make educated decisions about
their interactions with robots.
A) Data Protection
B) Informed Consent
- 72. refers to the ability of robots to analyze data.
A) Cascading style sheet (Css )
B) Hypertext markup language (HTML)
C) Machine learning (ML)
- 73. refers to the collective behavior of decentralized,
self-organized systems. It is inspired by the social interactions of natural
organism.
A) Collective Goals
B) Swarm intelligence
- 74. Simulated environments allow for the rigorous testing of robot behaviors and control
algorithms.
A) Stress Testing
B) Testing Algorithms
C) Long-term Testing
- 75. Evaluating how robots perform over extended periods.
A) Testing Algorithms
B) Long-term Testing
C) Stress Testing
- 76. Subjecting robots to extreme conditions to identify potential
failure points.
A) Testing Algorithms
B) Long-term Testing
C) Stress Testing
- 77. Ensuring that robots can effectively interact with other
systems and technologies, such as humans and existing infrastructure.
A) Long-term Testing
B) Interoperability Testing
C) Stress Testing
- 78. connects physical devices and systems,
enabling real-time data collection and analysis. Sensors embedded in machinery allow
for monitoring and predictive maintenance, reducing downtime and enhancing
operational efficiency.
A) Artificial Intelligence (AI)
B) Integration of IoT
C) Robotics
- 79. analyze data from various sources to optimize
manufacturing processes. Machine learning can predict equipment failures.
A) Artificial Intelligence (AI)
B) Integration of IoT
C) Robotics
- 80. protecting sensitive data and ensuring the integrity
of operations becomes critical.
A) Security Measures
B) Vulnerabilities
- 81. Implementing robust cybersecurity protocols, including
encryption, access controls, and regular security audits, is essential to mitigate
risks and safeguard operations.
A) Security Measures
B) Vulnerabilities
- 82. Real-time data exchange enables adaptive production systems
that can respond to changes in demand.
A) Data Exchange
B) Optimized Processes
- 83. This connectivity enhances visibility across the production line, allowing for
informed decision-making.
A) Optimized Processes
B) Data Exchange
- 84. Are the brain of the robot, processing inputs from sensors
A) Sensors
B) Actuators
C) Controllers
- 85. A small computer that manage simple tasks.
A) Microprocessors
B) Microcontrollers
- 86. Capable handling complex computation.
A) Microprocessors
B) Microcontrollers
- 87. When was first robot invented by George davol
A) (1940-1960)
B) (1970-1980)
C) (1960-1970)
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