Home» Online Test » Computer » Super Computers Online Test 0% Sorry, time's up. To complete the online test, please restart it. Created by Vikash chaudhary This 'Super Computers Online Test' covers questions across all the topics related to Super Computers basic to advanced. Get 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. What is the primary function of quantum gates in a quantum computer? a) Storing data b) Performing quantum operations on qubits c) Displaying output d) Providing power to the system 2 / 30 2. Which of the following is a potential advantage of quantum computers over classical computers? a) Higher energy consumption b) Solving certain types of problems exponentially faster c) Simpler programming d) Lower cost 3 / 30 3. How does supercomputing aid in pharmacogenomics research? a) By automating drug synthesis processes b) By predicting future genetic mutations c) By analyzing genetic variations and drug responses in large populations d) By limiting access to genomic databases 4 / 30 4. What is parallel processing in the context of supercomputers? a) Processing data in a linear sequence b) Executing multiple computations simultaneously c) Running a single program at a time d) Using a single processor for all tasks 5 / 30 5. Which machine is considered the first supercomputer? a) ENIAC b) IBM 7090 c) Cray-1 d) CDC 6600 6 / 30 6. What is a quantum algorithm? a) A classical algorithm run on a quantum computer b) A method for error correction in quantum computing c) A set of instructions for solving a problem using quantum principles d) A procedure for converting classical data to quantum data 7 / 30 7. What is a qubit in the context of quantum computing? a) A basic unit of classical computing b) A quantum bit that can exist in multiple states simultaneously c) A type of transistor d) A unit of memory in classical computers 8 / 30 8. What does model convergence indicate in the context of AI training on supercomputers? a) The convergence of multiple AI models into a single unified model b) The stability of AI model training over successive iterations c) The parallelization of AI training tasks across multiple computing nodes d) The optimization of hardware resources for AI workloads 9 / 30 9. Which networking technology utilizes light signals transmitted through optical fibers for high-speed data transmission? a) Ethernet b) Bluetooth c) Fiber optics d) Wi-Fi 10 / 30 10. How are supercomputers used in engineering simulations? a) Studying ocean currents b) Analyzing weather patterns c) Modeling complex systems and phenomena d) Investigating geological formations 11 / 30 11. Which computational method is commonly used in drug discovery to screen and analyze large databases of chemical compounds? a) Genomic sequencing b) Molecular dynamics simulations c) Virtual screening d) Weather forecasting simulations 12 / 30 12. How does AI contribute to addressing data assimilation challenges in climate modeling on supercomputers? a) By automating data collection processes b) By predicting future weather patterns c) By assimilating observational data into climate models d) By limiting access to climate data 13 / 30 13. Which AI technique is commonly used in climate modeling to analyze complex climate datasets and identify patterns? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 14 / 30 14. Which term describes a type of computing inspired by the structure and function of the human brain, aimed at mimicking neural networks? a) Quantum Computing b) Neuromorphic Computing c) Supercomputing d) Cloud Computing 15 / 30 15. Which AI technique is used to predict the metabolic potential of microbial communities based on their genomic profiles? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 16 / 30 16. What does load imbalance indicate in the context of parallelized AI workloads on supercomputers? a) The distribution of computational tasks across computing nodes b) The efficiency of resource utilization during AI training c) The stability of AI model convergence over successive iterations d) The accuracy of AI predictions or classifications 17 / 30 17. Which type of processing unit is specifically designed to handle graphics and visual computing tasks? a) Central Processing Unit (CPU) b) Graphics Processing Unit (GPU) c) Tensor Processing Unit (TPU) d) Field-Programmable Gate Array (FPGA) 18 / 30 18. Which supercomputer is known for its hybrid architecture combining CPUs and GPUs? a) IBM's Summit b) China's Sunway TaihuLight c) Japan's Fugaku d) Switzerland's Piz Daint 19 / 30 19. How do AI-driven benchmarking tools contribute to evaluating supercomputing performance? a) By automating system backups b) By predicting future workload patterns c) By generating synthetic workloads for performance testing d) By limiting access to computational resources 20 / 30 20. Which networking technology is commonly used for connecting devices in a wide area network (WAN) over long distances, such as the internet? a) Ethernet b) Bluetooth c) InfiniBand d) Fiber optics 21 / 30 21. What is quantum supremacy? a) The ability of classical computers to outperform quantum computers b) The demonstration that a quantum computer can solve a problem faster than the best classical computers c) The total number of qubits in a quantum computer d) The use of quantum computers for all types of problems 22 / 30 22. Which supercomputer is housed at the RIKEN Center for Computational Science in Japan? a) IBM's Summit b) China's Sunway TaihuLight c) Japan's Fugaku d) Switzerland's Piz Daint 23 / 30 23. Which AI technique is commonly used in genomic research to analyze and interpret complex genomic datasets? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 24 / 30 24. Which supercomputer was used in the development of AI algorithms for autonomous driving systems? a) China's Sunway TaihuLight b) Japan's Fugaku c) Lawrence Livermore National Laboratory's Sierra d) Google's TPUv4 25 / 30 25. Which emerging memory technology holds promise for providing both high-performance computing and non-volatile storage capabilities? a) Phase-Change Memory (PCM) b) Magnetic Tape c) Optical Disc d) Static Random Access Memory (SRAM) 26 / 30 26. Which computational method is commonly used in engineering simulations to analyze stress, deformation, and vibration in mechanical systems? a) Molecular dynamics simulations b) Computational fluid dynamics (CFD) c) Finite element analysis (FEA) d) Weather forecasting simulations 27 / 30 27. What is the primary advantage of using TPUs over GPUs for deep learning tasks? a) Lower cost b) Higher clock speed c) Greater memory bandwidth d) Higher performance efficiency 28 / 30 28. In a distributed computing system, what is a "node"? a) A single processing unit b) A central server c) A storage device d) An individual computer within the network 29 / 30 29. Which networking technology is commonly used for connecting devices in a personal area network (PAN) over short distances? a) Ethernet b) Bluetooth c) InfiniBand d) Wi-Fi 30 / 30 30. What is the primary advantage of using GPUs over CPUs for parallel computing tasks? a) Higher clock speed b) Lower power consumption c) Greater parallel processing capability d) Enhanced single-threaded performance Please provide accurate information so we can send your Achievement Certificate by mail. NameEmailPhone Number Your score is Share your achievement! LinkedIn Facebook Twitter 0% Restart Test Please provide your feedback. Thank you for your valuable feedback. 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