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 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 2 / 30 2. Which company is known for manufacturing GPUs for various applications, including gaming, artificial intelligence, and scientific computing? a) Intel b) NVIDIA c) AMD d) Qualcomm 3 / 30 3. How does AI enhance genomic research on supercomputers? a) By automating DNA extraction processes b) By predicting future genetic mutations c) By identifying patterns and relationships in genomic data d) By limiting access to genomic databases 4 / 30 4. 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 5 / 30 5. 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 6 / 30 6. Which cryptographic technique relies on biological molecules, such as DNA sequences, for encoding and decoding secret information? a) Symmetric-key cryptography b) Asymmetric-key cryptography c) DNA cryptography d) Weather forecasting cryptography 7 / 30 7. 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 8 / 30 8. What does the term "quantum error correction" refer to? a) Increasing the processing speed of qubits b) Correcting errors in quantum computations caused by decoherence and other quantum noise c) Enhancing the graphical output of quantum computers d) Simplifying quantum programming languages 9 / 30 9. What are some challenges associated with liquid immersion cooling for supercomputing systems? a) Increased energy consumption and operational costs b) Limited scalability and compatibility with existing infrastructure c) Environmental concerns and regulatory restrictions d) Potential leakage and corrosion risks 10 / 30 10. Which performance metric evaluates the efficiency of data movement and synchronization in parallelized AI workloads on supercomputers? a) Training throughput b) Inference latency c) Communication efficiency d) Prediction accuracy 11 / 30 11. Which AI technique is commonly used for predictive maintenance in supercomputing systems? a) Reinforcement learning b) Genetic algorithms c) Machine learning d) Fuzzy logic 12 / 30 12. Which AI technique is used to optimize power consumption and cooling strategies in supercomputing data centers? a) Machine learning b) Genetic algorithms c) Reinforcement learning d) Fuzzy logic 13 / 30 13. 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 14 / 30 14. 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 15 / 30 15. How does predictive maintenance contribute to optimizing supercomputing performance? a) By reducing computational complexity b) By predicting future workload patterns c) By minimizing downtime and maximizing system availability d) By limiting scalability 16 / 30 16. What is one of the major challenges in supercomputing related to energy consumption? a) Excessive storage capacity b) Insufficient processing power c) High energy consumption d) Limited cooling solutions 17 / 30 17. What is the primary advantage of using InfiniBand technology over Ethernet for high-performance computing and data center networking? a) Lower cost b) Higher compatibility c) Lower latency and higher bandwidth d) Longer distance support 18 / 30 18. How does AI contribute to cost savings in supercomputing operations? a) By increasing computational complexity b) By predicting future workload patterns and optimizing resource allocation c) By minimizing system availability and increasing downtime d) By limiting access to computational resources 19 / 30 19. What role does AI play in handling uncertainties and variability in climate modeling on supercomputers? a) By automating data collection processes b) By predicting future weather patterns c) By analyzing ensemble simulations and probabilistic forecasts d) By limiting access to climate data 20 / 30 20. Which organization developed the "TrueNorth" neuromorphic chip, designed to mimic the functionality of the human brain? a) IBM b) Google c) Microsoft d) Intel 21 / 30 21. Which aspect of climate modeling benefits from AI-driven optimization techniques on supercomputers? a) Cooling strategies b) Power consumption c) Model calibration and parameter tuning d) Network bandwidth 22 / 30 22. What is Amdahl's Law in the context of parallel processing? a) It predicts the maximum speedup achievable by parallelizing a task b) It determines the power consumption of a supercomputer c) It measures the temperature increase in processors d) It calculates the storage capacity needed 23 / 30 23. 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 24 / 30 24. 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 25 / 30 25. 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 26 / 30 26. 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 27 / 30 27. Which of the following technologies is essential for implementing distributed computing systems? a) Virtual reality b) Blockchain c) High-speed internet and robust networking protocols d) Quantum computing 28 / 30 28. What is the primary application area of HPC systems? a) Playing video games b) Sending emails c) Scientific research and simulations d) Text editing 29 / 30 29. 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 30 / 30 30. Which storage technology utilizes magnetic particles on a tape to store data and is commonly used for archival and backup purposes? a) Solid State Drive (SSD) b) Optical Disc c) Magnetic Tape d) Hard Disk Drive (HDD) Please provide accurate information so we can send your Achievement Certificate by mail. NameEmailPhone Number Your score is Share your achievement! 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