
Exploring Big Data Tools and Techniques
Authored by Prasanna V
Engineering
University
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25 questions
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1.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is big data and why is it important?
Big data is large and complex datasets that require advanced tools for processing and analysis.
Big data is a type of software used for data entry.
Big data is only important for large corporations.
Big data refers to small datasets that are easy to analyze.
2.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Explain the main features of Apache Spark.
Uses disk-based storage exclusively
in-memory computing, support for multiple languages, and a rich ecosystem of libraries.
Lacks support for machine learning libraries
Supports only Java and Scala
3.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What programming languages can be used with Apache Spark?
C++
PHP
Scala
Ruby
4.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Describe the role of Pig Latin in big data processing.
Pig Latin provides a simplified scripting language for data analysis.
Pig Latin is a database management system for relational data.
Pig Latin is primarily used for real-time data streaming.
Pig Latin is a programming language used for web development.
5.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
How does Hive facilitate data warehousing in Hadoop?
Hive requires a programming language to query data.
Hive is not compatible with Hadoop's ecosystem.
Hive by providing a SQL-like interface for integrating with Hadoop's ecosystem.
Hive stores data in a binary format only.
6.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
What is the purpose of ZooKeeper in a big data ecosystem?
To provide coordination and management for distributed applications.
To perform real-time data analytics.
To provide a user interface for data visualization.
To store large amounts of data efficiently.
7.
MULTIPLE CHOICE QUESTION
45 sec • 1 pt
Explain how Flume is used for data ingestion.
Flume is primarily a database management tool for data storage.
Flume is used for data visualization by creating dashboards.
Flume is a programming language designed for data analysis.
Flume is used for data ingestion by collecting log data from various sources, transporting it through channels, and delivering it to sinks.
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