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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 3 of 7

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Q21.
What is the primary purpose of moving windows in Complex Event Processing (CEP)?

a.

To aggregate event information

b.

To release events at regular intervals

c.

To open windows at specified times of the day

d.

To buffer events indefinitely

Discuss
Answer: (a).To aggregate event information Explanation:The primary purpose of moving windows in CEP is to aggregate event information.
Q22.
What is the primary characteristic of batch windows in CEP?

a.

They buffer events indefinitely

b.

They have a fixed size based on the number of event instances

c.

They release events every specified time interval

d.

They are tied to a particular time of the day

Discuss
Answer: (c).They release events every specified time interval Explanation:The primary characteristic of batch windows in CEP is that they release events every specified time interval.
Q23.
What are the typical representations of input and output in Complex Event Processing (CEP) queries?

a.

Input as streams and output as complex objects

b.

Input and output both as complex objects

c.

Input and output both as event streams

d.

Input as complex objects and output as event streams

Discuss
Answer: (c).Input and output both as event streams Explanation:In typical CEP queries, both input and output are represented as event streams.
Q24.
What is a shared feature between most of the currently available stream processing engines and languages?

a.

Complex query structure

b.

Subquery organization of processing

c.

Lack of support for intermediate streams

d.

Decoupling of query-writing process

Discuss
Answer: (b).Subquery organization of processing Explanation:A shared feature between most of the currently available stream processing engines and languages is the subquery organization of processing.
Q25.
What does the double-dash (--) notation indicate in the context of CEP subqueries?

a.

The end of a subquery

b.

The start of a subquery

c.

The presence of a complex operator

d.

The use of a specific query language

Discuss
Answer: (a).The end of a subquery Explanation:In the context of CEP subqueries, the double-dash (--) notation indicates the end of a subquery.
Q26.
What approach does spChains use to abstract the CEP query-writing process?

a.

Event-driven programming

b.

Block composition approach

c.

Object-oriented programming

d.

Functional programming

Discuss
Answer: (b).Block composition approach Explanation:spChains uses a block composition approach to abstract the CEP query-writing process.
Q27.
What is the primary advantage of using a block-based approach like spChains in CEP query writing?

a.

It reduces the processing efficiency

b.

It eliminates the need for subqueries

c.

It simplifies the query-writing process

d.

It increases the complexity of query writing

Discuss
Answer: (c).It simplifies the query-writing process Explanation:The primary advantage of using a block-based approach like spChains in CEP query writing is that it simplifies the query-writing process while keeping processing efficiency almost unchanged.
Q28.
What is the primary function of a stream processing block in the context of spChains?

a.

To generate event streams only

b.

To filter out a subset of events only

c.

To take one or more event streams in input and generate one or more event streams as output

d.

To perform linear computations on input streams

Discuss
Answer: (c).To take one or more event streams in input and generate one or more event streams as output Explanation:The primary function of a stream processing block in the context of spChains is to take one or more event streams in input and generate one or more event streams as output.
Q29.
What is the term for a stream processing block that filters out a subset of its entering events depending on some block parameter?

a.

Transparent block

b.

Opaque block

c.

Linear block

d.

Block with memory

Discuss
Answer: (a).Transparent block Explanation:A stream processing block that filters out a subset of its entering events depending on some block parameter is called a "transparent block."
Q30.
What characterizes a linear processing function in a stream processing block?

a.

It applies nonlinear operators to the input stream

b.

It only applies linear operators to the input stream

c.

It generates new event values

d.

It has multiple input ports

Discuss
Answer: (b).It only applies linear operators to the input stream Explanation:A linear processing function in a stream processing block only applies linear operators to the input stream.
Page 3 of 7

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