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Welcome to the Real Time Big Data Processing MCQs Page

Dive deep into the fascinating world of Real Time Big Data Processing with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Real Time Big Data Processing, a crucial aspect of Big Data Computing. In this section, you will encounter a diverse range of MCQs that cover various aspects of Real Time Big Data Processing, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Big Data Computing.

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Check out the MCQs below to embark on an enriching journey through Real Time Big Data Processing. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Big Data Computing.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Real Time Big Data Processing. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Real Time Big Data Processing MCQs | Page 4 of 7

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Answer: (c).The computation for generating the output stream depends on past events Explanation:For a stream processing block to have memory means that the computation for generating the output stream depends on past events.
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Answer: (c).Through a simple XML-based notation called spXML Explanation:Blocks are instantiated by data-centric applications in spChains through a simple XML-based notation called spXML.
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Answer: (b).To create directed acyclic graphs of stream processing blocks Explanation:The primary purpose of spChains elaboration pipelines or chains is to create directed acyclic graphs of stream processing blocks.
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Answer: (c).Event sources push events into the framework, and event drains extract events from the framework Explanation:In the spChains framework, event sources push events into the framework, and event drains extract events from the framework.
Q35.
What does spXML stand for in the context of spChains?
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Answer: (b).Stream Processing Markup Language Explanation:In the context of spChains, spXML stands for Stream Processing Markup Language.
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Answer: (a).It widens the accessibility to domain experts Explanation:The advantage of using spXML for defining spChains blocks and chains is that it widens the accessibility to domain experts exposed to the XML syntax and rules.
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Answer: (c).A language-neutral representation for blocks and chains Explanation:spXML provides a language-neutral representation for blocks and chains in spChains, enabling easy access and development environments for domain experts.
Q38.
What are the three main sections in an spXML representation of a set of stream processing tasks?
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Answer: (b).Chain, Source, and Drain Explanation:The three main sections in an spXML representation of a set of stream processing tasks are Chain, Source, and Drain.
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Answer: (d).To define the chain instances needed to perform specific computations Explanation:The purpose of the chain section in an spXML representation is to define the chain instances needed to perform specific computations.
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Answer: (b).By their unique id (mnemonic) and function attribute Explanation:Blocks in an spXML representation of a chain section are identified by their unique id (mnemonic) and function attribute.
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