Big Data And Distributed Computing - Study Mode

[#1] What is the primary characteristic of "big data"?
Correct Answer

(B) High velocity of data

Explanation

Solution: The correct answer is B: High velocity of data Let's break down why: Big data is usually described by the "three Vs" (and sometimes more!): Volume, Velocity, and Variety. Volume: A large amount of data. Velocity: Data arriving at a rapid speed. Variety: Data coming from many different sources and in different formats. Now let's look at why the other options are not the *primary* characteristic: Option A: Small volume of data - This is incorrect. Big data, by definition, involves a *large* volume of data. Option C: Variety of data sources - While variety *is* a characteristic of big data, it's not the *primary* one. The sheer speed at which data arrives is often the biggest challenge. Option D: Low complexity of data - Big data is actually characterized by *high* complexity, often requiring special tools to process and analyze it.

[#2] In the context of big data, what does the "3Vs" represent?
Correct Answer

(B) Volume, Variety, Velocity

[#3] Which programming framework is commonly used for processing large-scale data in a distributed computing environment?
Correct Answer

(C) Hadoop

[#4] What is the main purpose of the Hadoop Distributed File System (HDFS) in a Hadoop ecosystem?
Correct Answer

(B) Data storage and retrieval

[#5] In distributed computing, what is the term for a group of computers connected over a network that work together to solve a problem or perform a task?
Correct Answer

(C) Distributed System