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Understanding Apache Hadoop Framework

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Questions and Answers

What does RDBMS stand for?

Rapid Data Backup Management System

Relational Database Management System (correct)

Reactive Database Management System

Redundant Database Management Service

How is Hadoop different from a traditional RDBMS?

Hadoop is better suited for storing and managing data with a fixed schema

Hadoop is not a database, but a software framework for storing and processing large amounts of data (correct)

Hadoop is designed to handle only well-defined data

Hadoop is more expensive to implement and maintain than a traditional RDBMS

Which of the following is not a challenge associated with big data analytics in distributed computing?

Data Variety

Data Size

Data Velocity

Data Integrity (correct)

What is the primary benefit of using distributed computing for big data analytics?

Improved data processing and analysis (C) Signup and view all the answers

Which of the following is not a challenge associated with distributed computing for big data analytics?

Data Normalization (A) Signup and view all the answers

What is the primary purpose of the Apache Hadoop software library?

To provide a framework for distributed processing of large datasets across clusters of computers (C) Signup and view all the answers

Which of the following is not a key component of the Apache Hadoop platform?

Relational Database Management System (RDBMS) (D) Signup and view all the answers

What is the primary function of the HDFS (Hadoop Distributed File System) component in the Apache Hadoop platform?

To store large amounts of data across multiple machines (D) Signup and view all the answers

What is the primary function of the YARN (Yet Another Resource Negotiator) component in the Apache Hadoop platform?

To manage the allocation of resources (such as CPU and memory) for processing the data stored in HDFS (C) Signup and view all the answers

How does the Apache Hadoop platform differ from a Relational Database Management System (RDBMS) in terms of scalability?

Hadoop is designed to scale up from single servers to thousands of machines, while RDBMS is limited to a single server (A) Signup and view all the answers