Hadoop, Hive, and Spark Review Quiz

What is the main purpose of Hadoop in big data processing?

• Storing large amounts of data

• Performing real-time analytics

• Managing databases

• Creating machine learning models

Which of the following components is responsible for distributed storage in Hadoop?

• YARN

• HDFS

• MapReduce

• Spark

What query language does Hive use?

• SQL

• HQL

• NoSQL

• JSON

In Hive, which file format is best suited for columnar storage?

• CSV

• JSON

• ORC

• TXT

What is Apache Spark primarily used for?

• Web development

• Large-scale data processing

• Cloud computing

• Video rendering

Which component of Spark is responsible for executing distributed data processing?

• Spark Core

• Spark SQL

• Spark Streaming

• MLlib

In Hadoop, what is the function of YARN?

• Data storage

• Resource management and job scheduling

• File compression

• Query optimization

Which of the following is NOT a characteristic of Spark compared to Hadoop MapReduce?

• Faster processing speed

• In-memory computation

• Supports batch and stream processing

• Requires HDFS for execution

Which of the following is a key advantage of using Hive?

• It is real-time

• It provides a SQL-like interface for Hadoop

• It replaces Hadoop

• It is a programming language

In Spark, what is an RDD (Resilient Distributed Dataset)?

• A database table

• A distributed collection of objects

• A real-time processing engine

• A machine learning algorithm