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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 2 of 7

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Q11.
What is the primary goal of the pipes-and-filters design pattern?

a.

To make processing tasks more complex

b.

To divide large processing tasks into smaller, independent steps

c.

To connect filters with complex interfaces

d.

To increase the speed of data processing

Discuss
Answer: (b).To divide large processing tasks into smaller, independent steps Explanation:The primary goal of the pipes-and-filters design pattern is to divide large processing tasks into smaller, independent steps connected by channels.
Q12.
What is the primary function of each filter in the pipes-and-filters pattern?

a.

To process messages from the standard output stream

b.

To read data from the standard input stream

c.

To expose a simple interface for processing messages

d.

To implement complex data transformations

Discuss
Answer: (c).To expose a simple interface for processing messages Explanation:The primary function of each filter in the pipes-and-filters pattern is to expose a simple interface for processing messages.
Q13.
How are filters connected in the pipes-and-filters pattern?

a.

Through complex interfaces

b.

Through pipes that send messages from one filter output to the next filter input

c.

Through direct method calls

d.

Through external libraries

Discuss
Answer: (b).Through pipes that send messages from one filter output to the next filter input Explanation:Filters are connected in the pipes-and-filters pattern through pipes that send messages from one filter output to the next filter input.
Q14.
What is one well-known implementation of the pipes-and-filters pattern?

a.

The Unix operating system's pipe operator "|"

b.

The Windows operating system's command prompt

c.

The Java programming language

d.

The Python programming language

Discuss
Answer: (a).The Unix operating system's pipe operator "|" Explanation:One well-known implementation of the pipes-and-filters pattern is the Unix operating system's pipe operator "|" which connects processes that read data from the standard input stream and write results to the standard output stream.
Q15.
What does CEP (Complex Event Processing) involve?

a.

Analyzing simple events in isolation

b.

Analyzing isolated events with no interrelationships

c.

Analyzing complex series of interrelated events in modern distributed information systems

d.

Analyzing events in a sequential manner

Discuss
Answer: (c).Analyzing complex series of interrelated events in modern distributed information systems Explanation:CEP (Complex Event Processing) involves analyzing complex series of interrelated events in modern distributed information systems.
Q16.
What is an event stream in the context of Complex Event Processing (CEP)?

a.

A finite sequence of complex objects

b.

A temporal sequence of continuous events

c.

A collection of isolated events

d.

A possibly infinite temporal sequence of discrete events

Discuss
Answer: (d).A possibly infinite temporal sequence of discrete events Explanation:An event stream in the context of Complex Event Processing (CEP) is a possibly infinite temporal sequence of discrete events.
Q17.
How are events defined in the spChains framework?

a.

As complex objects with contextual information

b.

As real numbers with unit measures

c.

As simple numeric payloads with time stamps

d.

As raw measures with event origins

Discuss
Answer: (c).As simple numeric payloads with time stamps Explanation:In the spChains framework, events are defined as data structures (objects) carrying a simple numeric payload with time stamps.
Q18.
What is the primary purpose of CEP operators (queries)?

a.

To convert events into complex objects

b.

To transform single events into multiple events

c.

To apply complex computations on event streams

d.

To produce complex event structures

Discuss
Answer: (c).To apply complex computations on event streams Explanation:The primary purpose of CEP operators (queries) is to apply complex computations on event streams.
Q19.
What are time windows in the context of CEP?

a.

Fixed intervals of time with no specific criteria

b.

Intervals starting and ending based on predefined time points

c.

Intervals defined by the occurrence of certain events or a time period

d.

Windows of time that slide continuously without stopping

Discuss
Answer: (c).Intervals defined by the occurrence of certain events or a time period Explanation:Time windows in the context of CEP are intervals defined by the occurrence of certain events or a time period.
Q20.
What are the two most important variants of time windows in CEP?

a.

Real-time and batch windows

b.

Sliding or moving windows and batch windows

c.

Continuous and discrete windows

d.

Dynamic and static windows

Discuss
Answer: (b).Sliding or moving windows and batch windows Explanation:The two most important variants of time windows in CEP are sliding or moving windows and batch windows.
Page 2 of 7

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