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 type of quantum computer did Google use to achieve quantum supremacy? a) Ion trap quantum computer b) Topological quantum computer c) Superconducting quantum computer d) Photonic quantum computer 2 / 30 2. How can AI-driven benchmarking tools help in optimizing supercomputing performance? a) By reducing computational complexity b) By predicting future workload patterns c) By identifying performance bottlenecks and optimizing system configurations d) By limiting scalability 3 / 30 3. Which company announced achieving quantum supremacy in 2019? a) IBM b) Microsoft c) Google d) Intel 4 / 30 4. Which principle explains why quantum computers can potentially solve certain problems faster than classical computers? a) Heisenberg's uncertainty principle b) Fermat's principle c) Principle of quantum superposition d) Principle of least action 5 / 30 5. Which aspect of supercomputing might benefit from advancements in AI-driven anomaly detection techniques? a) Decreasing computational complexity b) Increasing system reliability and fault tolerance c) Reducing the need for data analysis d) Limiting access to computational resources 6 / 30 6. What are some of the challenges in achieving Exascale Computing? a) Low computational complexity and scalability b) Limited demand for high-performance computing c) Insufficient funding and resources d) High energy consumption and cooling requirements 7 / 30 7. What is the purpose of a quantum simulator? a) To simulate the appearance of quantum computers b) To mimic the behavior of a quantum computer using classical hardware c) To enhance the user interface of quantum computers d) To create quantum entanglement 8 / 30 8. Which AI technique is used to optimize computational workflows and improve the efficiency of climate modeling on supercomputers? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 9 / 30 9. Which AI-driven technique is used to predict the impact of genetic variations on protein structure and function? a) Reinforcement learning b) Genetic algorithms c) Deep learning d) Fuzzy logic 10 / 30 10. Which supercomputer is primarily used for climate research and weather forecasting? a) IBM's Summit b) China's Sunway TaihuLight c) Japan's Fugaku d) Switzerland's Piz Daint 11 / 30 11. Which processing unit is optimized for executing mathematical operations commonly found in deep learning algorithms, such as matrix multiplications and convolutions? a) Central Processing Unit (CPU) b) Graphics Processing Unit (GPU) c) Tensor Processing Unit (TPU) d) Field-Programmable Gate Array (FPGA) 12 / 30 12. What is the role of interconnects in HPC systems? a) Managing user interfaces b) Cooling the system c) Enabling communication between processors and memory modules d) Enhancing graphical output 13 / 30 13. Which AI technique is used to predict system failures and preemptively address potential issues in supercomputing environments? a) Machine learning b) Genetic algorithms c) Reinforcement learning d) Fuzzy logic 14 / 30 14. What is a major technical challenge currently faced in the development of quantum computers? a) Low processing speeds b) Achieving and maintaining quantum coherence c) Lack of programming languages d) Insufficient data storage 15 / 30 15. Which AI-driven technique is used to develop downscaling models for regional climate predictions on supercomputers? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 16 / 30 16. Which supercomputer is known for its exceptional performance in artificial intelligence (AI) and deep learning tasks? a) IBM's Summit b) China's Sunway TaihuLight c) Japan's Fugaku d) Switzerland's Piz Daint 17 / 30 17. How are supercomputers utilized in defense applications? a) Analyzing weather patterns b) Investigating geological formations c) Simulating military operations and weapons systems d) Studying ocean currents 18 / 30 18. Which supercomputer was the first to exceed one exaflop in performance according to the TOP500 list? a) IBM's Summit b) China's Sunway TaihuLight c) Japan's Fugaku d) Switzerland's Piz Daint 19 / 30 19. What does FLOPS stand for in the context of computing performance? a) Floating Operations per Second b) Frames per Second c) Fast Logical Operations per Second d) Function Lookup Operations per Second 20 / 30 20. Which AI technique is used to optimize data movement and storage management in supercomputing environments? a) Machine learning b) Genetic algorithms c) Reinforcement learning d) Neural networks 21 / 30 21. What was the primary innovation of the Cray-1 supercomputer introduced in 1976? a) Use of vacuum tubes b) Vector processing c) Quantum computing d) Artificial intelligence 22 / 30 22. 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 23 / 30 23. What role do supercomputers play in structural analysis and design optimization? a) Analyzing ocean currents b) Investigating weather patterns c) Performing finite element analysis (FEA) d) Modeling geological formations 24 / 30 24. What does inference throughput measure in the context of AI workloads on supercomputers? a) The speed of model training b) The speed of deploying a trained model for making predictions c) The accuracy of AI predictions or classifications d) The convergence of AI models over successive iterations 25 / 30 25. What is the significance of vector processing in HPC systems? a) It reduces power consumption b) It increases memory capacity c) It enhances processing speed for certain types of computations d) It simplifies programming 26 / 30 26. What material is commonly used to create superconducting qubits? a) Silicon b) Gallium arsenide c) Niobium d) Copper 27 / 30 27. What is the primary challenge in distributed computing? a) High hardware costs b) Managing and coordinating tasks across multiple nodes c) Limited processing power d) Low energy efficiency 28 / 30 28. How do AI-driven climate models contribute to addressing climate change challenges? a) By automating data collection processes b) By predicting future weather patterns c) By optimizing resource allocation for climate research d) By limiting access to climate data 29 / 30 29. How do genetic algorithms contribute to optimizing supercomputing performance? a) By reducing computational complexity b) By predicting future workload patterns c) By automatically adjusting system parameters d) By handling imprecise and uncertain data 30 / 30 30. 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 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. Send feedback Buy Super Computers MCQ PDF for Offline Study Share the above MCQs: Click to share on Facebook (Opens in new window) Facebook Click to share on WhatsApp (Opens in new window) WhatsApp Click to share on X (Opens in new window) X Click to share on LinkedIn (Opens in new window) LinkedIn Click to share on Reddit (Opens in new window) Reddit
