Home» Online Test » Computer » Computer Fundamentals Online Test 0% Sorry, time's up. To complete the online test, please restart it. Created by Vikash chaudhary This 'Computer Fundamentals Online Test' covers questions across all the topics related to Computers from basic to advanced levels. Get fresh, new questions in each attempt. Total Questions: 30 Time Allotted: 30 minutes Passing Score: 50% Randomization: Yes Certificate: Yes Do not refresh the page! 👍 All the best! 1 / 30 1. How many kilobytes are in a megabyte (MB)? a) 1000 b) 1024 c) 2048 d) 4096 2 / 30 2. How does the choice of programming language affect the scalability of machine learning projects? a) The study of computer algorithms and data structures. b) Sorting algorithms, searching algorithms, graph algorithms. c) The process of securely storing data on computer systems. d) The choice of programming language can affect the scalability of machine learning projects by influencing factors such as performance, concurrency, and support for distributed computing. 3 / 30 3. How many bits are in a byte? a) 4 b) 8 c) 16 d) 32 4 / 30 4. What is CPU architecture? a) The physical design and layout of a central processing unit (CPU). b) The process of executing instructions in a program. c) A type of programming language. d) The software used for managing computer hardware. 5 / 30 5. What are some strategies for addressing biases and promoting fairness in artificial intelligence (AI) algorithms and decision-making systems? a) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). b) Sorting algorithms, searching algorithms, graph algorithms. c) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). d) Some strategies for addressing biases and promoting fairness in artificial intelligence (AI) algorithms and decision-making systems include data preprocessing and cleaning, algorithmic fairness and bias mitigation techniques, diversity and inclusion in dataset collection and model training, transparency and explainability in AI systems, human oversight and accountability mechanisms, and ongoing monitoring and evaluation of AI systems for bias detection and correction. 6 / 30 6. How many megabytes are in a gigabyte (GB)? a) 1000 b) 1024 c) 2048 d) 4096 7 / 30 7. What is a Merkle tree in blockchain technology? a) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). b) Sorting algorithms, searching algorithms, graph algorithms. c) A data structure used to efficiently store and verify the integrity of transactions in a block by organizing them into a hierarchical tree structure of cryptographic hashes. d) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). 8 / 30 8. What is a webcam? a) A device used for capturing images and videos of physical documents. b) A device used for scanning printed text and converting it into digital format. c) A device used for capturing images and videos of scenes or individuals, typically for video conferencing or streaming. d) A device used for controlling video games and simulations. 9 / 30 9. What are some advantages of optical disc drives? a) Long-term data retention, compatibility with a wide range of devices, and low cost. b) Portable, easy to connect, and offer high storage capacity. c) Prone to physical damage, slow data transfer rates, and high cost. d) Used primarily for temporary storage, incompatible with most computers, and low reliability. 10 / 30 10. What are some common algorithms used in supervised learning? a) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). b) Sorting algorithms, searching algorithms, graph algorithms. c) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). d) Common algorithms used in supervised learning include linear regression, logistic regression, decision trees, random forests, support vector machines (SVM), and neural networks. 11 / 30 11. What is a denial-of-service (DoS) attack? a) A type of encryption algorithm. b) Malicious software designed to disrupt, damage, or gain unauthorized access to computer systems or data. c) An attack that floods a computer system or network with excessive traffic or requests, rendering it unavailable to legitimate users. d) A program that self-replicates and spreads by inserting copies of itself into other programs or files. 12 / 30 12. What are conditional statements? a) Statements that are executed in a specific sequence regardless of any conditions. b) Statements that control the flow of execution in a program based on specified conditions or criteria. c) Statements used for declaring variables in a program. d) The process of executing a program. 13 / 30 13. What are some common operations performed in Git version control? a) Common operations performed in Git version control include cloning repositories to create local copies, adding and committing changes to the repository, creating and switching between branches for parallel development, merging changes from different branches, and pushing and pulling changes between local and remote repositories. b) Sorting algorithms, searching algorithms, graph algorithms. c) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). d) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). 14 / 30 14. What is the significance of data analytics in IoT? a) Data analytics involves analyzing and interpreting data collected from IoT devices to derive insights, identify patterns, and make informed decisions. b) Sorting algorithms, searching algorithms, graph algorithms. c) The process of securely storing data on computer systems. d) The study of computer algorithms and data structures. 15 / 30 15. What are data types? a) Categories of programming languages. b) A fixed set of values and operations that can be performed on them in a programming language. c) The process of executing a program. d) A type of malware. 16 / 30 16. What are some common uses of scanners? a) Digitizing documents, photos, artwork, and other printed materials. b) Recording audio, editing videos, creating graphics. c) Playing video games, controlling drones, capturing virtual reality content. d) Video conferencing, live streaming, online gaming. 17 / 30 17. What is a control structure in programming? a) A physical component of a computer system. b) A programming language used for writing code. c) A logical arrangement of program statements that determines the flow of execution. d) The process of executing a program. 18 / 30 18. What is a computer network? a) A group of interconnected computers that share resources and information. b) A single computer system with multiple processing units. c) A software application used for communication between computers. d) A physical device used to connect computers to the internet. 19 / 30 19. What are some examples of multimedia software? a) Windows Media Player, VLC Media Player, iTunes. b) Adobe Photoshop, Adobe Illustrator, CorelDRAW. c) Microsoft Word, Google Docs, Microsoft Excel. d) Microsoft PowerPoint, Google Slides, Apple Keynote. 20 / 30 20. What is a Git merge, and how does it work in version control? a) Git merge is a version control operation that combines changes from one branch into another, integrating new features, bug fixes, or changes made in a feature branch back into the main branch or another target branch, preserving the commit history and resolving conflicts if necessary. b) Sorting algorithms, searching algorithms, graph algorithms. c) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). d) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). 21 / 30 21. Which network component operates at the Data Link layer of the OSI model and forwards data packets within the same network segment based on MAC addresses? a) Router b) Switch c) Modem d) Hub 22 / 30 22. What are the key characteristics of blockchain technology? a) Decentralization, transparency, immutability, security. b) Sorting algorithms, searching algorithms, graph algorithms. c) The process of securely storing data on computer systems. d) The study of computer algorithms and data structures. 23 / 30 23. What are some challenges of IoT? a) Security and privacy concerns, interoperability issues, scalability challenges, data management complexities, regulatory compliance. b) Sorting algorithms, searching algorithms, graph algorithms. c) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). d) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). 24 / 30 24. Which type of memory is directly accessed by the CPU for storing and retrieving data and instructions during program execution? a) RAM b) ROM c) Cache Memory d) Virtual Memory 25 / 30 25. What are some features of Google Slides? a) Real-time collaboration, automatic saving, and version history. b) Video editing and graphic design tools. c) Web browsing and email functionality. d) Gaming and entertainment features. 26 / 30 26. Which network component is typically used in Ethernet networks to provide multiple ports for connecting devices within the same network segment? a) Router b) Switch c) Modem d) Hub 27 / 30 27. What is unsupervised learning in machine learning? a) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). b) Sorting algorithms, searching algorithms, graph algorithms. c) Unsupervised learning is a type of machine learning where the algorithm learns from unlabeled data, identifying patterns, structures, or relationships without guidance. d) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). 28 / 30 28. What are the primary functions of main memory in the memory hierarchy? a) To store frequently accessed data and instructions to speed up processing. b) To provide long-term storage for data and instructions. c) To manage communication between the CPU and other components of the computer system. d) To provide temporary storage for data and instructions that are currently being processed by the CPU. 29 / 30 29. What is a password? a) A physical device used for user authentication. b) A secret combination of characters used for user authentication to access a computer system or account. c) A type of encryption algorithm. d) A type of malware. 30 / 30 30. What is predictive analytics in data analytics? a) CPU (Central Processing Unit), RAM (Random Access Memory), HDD (Hard Disk Drive), SSD (Solid State Drive). b) Sorting algorithms, searching algorithms, graph algorithms. c) TCP/IP (Transmission Control Protocol/Internet Protocol), HTTP (Hypertext Transfer Protocol), DNS (Domain Name System), SSL/TLS (Secure Sockets Layer/Transport Layer Security). d) Predictive analytics involves forecasting future trends, outcomes, or behaviors based on historical data and statistical modeling techniques. Please provide accurate information so we can send your Achievement Certificate by mail. NameEmailPhone Number Your score isShare your achievement! LinkedIn Facebook 0% Restart Test Please provide your feedback. Thank you for your valuable feedback. Send feedback Buy Computer Fundamentals MCQ PDF for Offline Study
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