
HPC-CPS
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Other
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University
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Practice Problem
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Hard
Monika R
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following parallel computing architectures is best suited for real-time cyber-physical systems?
a) Shared-memory multiprocessors
Distributed-memory multiprocessors
SIMD architectures
MIMD architectures
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of cyber-physical systems, what is the main challenge associated with achieving high-performance computing?
Energy consumption optimization
Real-time processing constraints
Security vulnerabilities
Data transmission speed
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What role does real-time operating systems (RTOS) play in high-performance computing for cyber-physical systems?
Minimizing energy consumption
Ensuring deterministic response times
Enhancing data security
Optimizing data transmission rates
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which scenario would an iterative processing framework be most appropriate?
Processing real-time sensor data
Training machine learning models on a fixed dataset
Aggregating data from multiple sources periodically
Processing data in small, fixed-size batches
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary advantage of using a general dataflow framework for building data processing pipelines?
Simplified debugging and monitoring
Better integration with cloud storage services
Improved fault tolerance and scalability
Reduced development time and complexity
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What distinguishes general dataflow frameworks from specialized processing frameworks like batch or streaming frameworks?
They offer lower-level APIs for fine-grained control over computations
They provide built-in support for handling real-time data streams
They allow developers to express data processing pipelines without specifying the execution order
They are optimized for processing data in large, discrete batches
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When fitting a distribution to empirical availability data, which statistical method is commonly used to estimate the parameters of the distribution?
Least squares regression
Maximum likelihood estimation
Bayesian inference
Monte Carlo simulation
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