Apache Hadoop Trivia Quiz

HDFS stands for Hadoop Distributed File System, which is a distributed file system designed to store large amounts of data across multiple commodity machines. It is a key component of the Apache Hadoop ecosystem and is known for its scalability, fault-tolerance, and high throughput. HDFS divides files into blocks and replicates them across different machines, ensuring data availability even in the case of failures. Therefore, the given correct answer "HDFS" aligns with the description of a distributed file system that stores data on commodity machines.

Apache Hadoop was written in Java. Java is a widely-used programming language known for its platform independence and ability to handle large-scale distributed computing. Hadoop, being a framework for processing and storing large datasets, was designed to be implemented in Java due to its robustness and scalability. The use of Java allows Hadoop to run on various operating systems and be compatible with different hardware configurations, making it a versatile and powerful tool for big data processing.

HDFS stands for Hadoop Distributed File System. It is the storage part of Apache Hadoop. HDFS is designed to store and manage large amounts of data across multiple machines in a distributed manner. It provides fault tolerance, high throughput, and scalability, making it suitable for big data processing and analytics. HDFS divides data into blocks and replicates them across different nodes in the cluster for redundancy and reliability. It allows for efficient data processing by enabling parallel processing and data locality. Overall, HDFS is a key component of Apache Hadoop's storage infrastructure.

The Apache Software Foundation is the correct answer because it is the organization responsible for the development and maintenance of Apache Hadoop. Apache Hadoop is an open-source software framework used for distributed storage and processing of large datasets. The Apache Software Foundation is well-known for its contributions to the development of various open-source projects, including Hadoop.

Apache Hadoop is a cross-platform software framework, which means it can run on different operating systems such as Linux, Unix, and MacOS. It is designed to be compatible with multiple operating systems, allowing users to deploy and run Hadoop on their preferred platform. This cross-platform capability makes Hadoop a versatile and flexible solution for big data processing and analytics, as it can be used on various operating systems depending on the users' needs and preferences.

Hadoop common is the correct answer because it is the module in Hadoop that contains libraries and utilities that are required by other Hadoop modules. It provides the core functionality and shared resources that are used by various components of the Hadoop ecosystem.

Doug Cutting is one of the co-founders of Apache Hadoop.

Apache Hadoop was initially released in 2011.

Mike Cafarella is one of the co-founders of Apache Hadoop.

Hadoop Yarn was founded in 2013.