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10 Qs

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HPC-CPS

HPC-CPS

Assessment

Quiz

Other

University

Practice Problem

Hard

Created by

Monika R

Used 1+ times

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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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