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. 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 2 / 30 2. 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 3 / 30 3. Which unit of measurement is equivalent to one quadrillion floating-point operations per second? a) Petaflop (PFLOP) b) Exaflop (EFLOP) c) Zettaflop (ZFLOP) d) Yottaflop (YFLOP) 4 / 30 4. Which AI technique is commonly used for predictive maintenance in supercomputing systems? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 5 / 30 5. Which organization launched the "National Strategic Computing Initiative" to advance Exascale Computing in the United States? a) NASA b) Department of Defense (DoD) c) National Science Foundation (NSF) d) White House Office of Science and Technology Policy (OSTP) 6 / 30 6. Which performance metric is commonly used to evaluate the speed of AI model training on supercomputers? a) Floating-point operations per second (FLOPS) b) Inference latency c) Training throughput d) Data transfer rate 7 / 30 7. 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 8 / 30 8. Which principle allows a qubit to be in multiple states at once? a) Classical mechanics b) Superposition c) Newton's third law d) Digital encoding 9 / 30 9. How do supercomputers assist in the identification of disease-causing genetic mutations? a) By automating DNA sequencing processes b) By predicting future genetic mutations c) By analyzing genetic variations and their associations with diseases d) By limiting access to genomic databases 10 / 30 10. Which country announced plans to build an exascale supercomputer by 2022? a) China b) United States c) Japan d) European Union 11 / 30 11. Which AI technique is used to predict the response of cancer patients to specific treatments based on their genetic makeup? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 12 / 30 12. Which term refers to the study of how genes affect a person's response to drugs? a) Pharmacokinetics b) Pharmacodynamics c) Pharmacogenomics d) Pharmacotherapy 13 / 30 13. What role do supercomputers play in astrophysical simulations of supernovae? a) Analyzing chemical reactions b) Modeling planetary orbits c) Simulating stellar explosions d) Investigating magnetic fields 14 / 30 14. Which memory technology is commonly used in Solid State Drives (SSDs) for non-volatile storage? a) Dynamic Random Access Memory (DRAM) b) Static Random Access Memory (SRAM) c) NAND Flash Memory d) Phase-Change Memory (PCM) 15 / 30 15. 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 16 / 30 16. What is one of the future directions for utilizing supercomputers in AI development? a) Decreasing computational complexity b) Increasing energy consumption c) Improving software compatibility d) Exploring hybrid computing architectures 17 / 30 17. Which AI technique is used to optimize cooling strategies and reduce energy consumption in supercomputing data centers? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 18 / 30 18. How does AI-driven genomic research contribute to personalized medicine? a) By automating laboratory experiments b) By predicting future genetic mutations c) By identifying genetic variants associated with diseases and drug responses d) By limiting access to genomic databases 19 / 30 19. What does communication overhead measure in the context of parallelized AI workloads on supercomputers? a) The computational complexity of AI training tasks b) The time spent on data communication between computing nodes c) The efficiency of memory utilization during AI training d) The accuracy of AI predictions or classifications 20 / 30 20. Which AI technique is commonly used to optimize supercomputing tasks by dynamically allocating computational resources based on workload demands? a) Machine learning b) Genetic algorithms c) Reinforcement learning d) Neural networks 21 / 30 21. What is the primary objective of drug repurposing? a) Developing new drugs from scratch b) Identifying new uses for existing drugs c) Ignoring drug side effects d) Limiting treatment options 22 / 30 22. What is the primary advantage of Neuromorphic Computing over traditional computing paradigms? a) Higher clock speed b) Lower energy consumption c) Greater storage capacity d) Compatibility with legacy systems 23 / 30 23. 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 24 / 30 24. 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 25 / 30 25. What role does the LINPACK benchmark play in the development and evaluation of supercomputers? a) It measures energy consumption b) It evaluates cooling efficiency c) It assesses computational performance d) It quantifies data storage capacity 26 / 30 26. What is the difference between SIMD and MIMD in parallel processing? a) SIMD executes the same instruction on multiple data points simultaneously, while MIMD executes different instructions on different data points simultaneously b) SIMD is single-threaded, and MIMD is multi-threaded c) SIMD uses a single processor, and MIMD uses multiple processors d) SIMD is for simple tasks, and MIMD is for complex tasks 27 / 30 27. How does fault tolerance benefit distributed computing systems? a) It reduces the need for power b) It allows the system to continue functioning even if some nodes fail c) It increases processing speed d) It simplifies programming 28 / 30 28. How might AI-driven simulations contribute to the design and testing of future supercomputing architectures? a) By increasing reliance on traditional computing approaches b) By reducing the need for hardware innovation c) By enabling virtual prototyping and performance evaluation d) By limiting access to computational resources 29 / 30 29. 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 30 / 30 30. Which of the following is a notable challenge in the design of HPC systems? a) Low energy consumption b) Scalability c) Slow data transfer rates d) Limited cooling requirements 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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