If you don’t understand this Architecture at this stage, no need to worry. a) Distributed file system b) JAX-RS c) Java Message Service d) Relational Database Management System View Answer. Distributed file system JAX-RS Relational Database Management System Java Message Service 8. Developers can use MapReduce to write programs that can retrieve whatever data is needed. Which of the following genres does Hadoop produce ? 8. To verify the execution of the Load statement, you have to use the Diagnostic Operators.Pig Latin provides four different types of diagnostic operators − Dump operator; Describe operator; Explanation operator ________ is the most popular high-level Java API in Hadoop Ecosystem. a) Distributed file system b) JAX-RS c) Java Message Service d) Relational Database Management System. All of the following accurately describe Hadoop, EXCEPT: 8. In Hadoop 2, there is again HDFS which is again used for storage and on the top of HDFS, there is YARN which works as Resource Management. However, MapReduce has several constraints affecting performance and a newer product like Apache Spark provides an alternative distributed computing framework, which is significantly more efficient. Through this Big Data Hadoop quiz, you will be able to revise your Hadoop concepts and check your Big Data knowledge to provide you confidence while appearing for Hadoop interviews to land your dream Big Data jobs in India and abroad.You will also learn the Big data concepts in depth through this quiz of Hadoop tutorial. Apache Flume is an ideal fit for streams of data that we would like to aggregate, store, and analyze using Hadoop. It is probably the most important component of Hadoop and demands a detailed explanation. Answer: a Explanation: The Hadoop Distributed File System (HDFS) is designed to store very large … Hadoop MCQ Questions 2020: We have listed here the Best Hadoop MCQ Questions for your basic knowledge of Hadoop. Which of the following are NOT big data problem(s)? It is a system which runs the workflow of dependent jobs. Standalone Mode. In this article, we shall discuss the major Hadoop Components which played the key role in achieving this milestone in the world of Big Data.. What is Hadoop? Answer: a Explanation: The Hadoop Distributed File System (HDFS) is designed to store very large data sets reliably, and to stream those data sets at high bandwidth to the user. ________ is a platform for constructing data flows for extract, transform, and load (ETL) processing and analysis of large datasets. Hadoop achieves reliability by replicating the data across multiple hosts, and hence does not require _____ storage on hosts. Which of the following platforms does Hadoop run on ? ( D) a) Parsing 5 MB XML file every 5 minutes. It is a Hadoop 1.x High-level Architecture. 10. Answer. If your data is too small or is sensitive then using Hadoop might not be an ideal choice. Copyright © 2016 -2020 Exams Recruitment India || Product from Recruitment India Made with ❤ in India. Fully distributed mode 2.10. 1. Working: In Hadoop 1, there is HDFS which is used for storage and top of it, Map Reduce which works as Resource Management as well as Data Processing.Due to this workload on Map Reduce, it will affect the performance. The Pig Latin scripting language is not only a higher-level data flow language but also has operators similar to : 9. 1. C. JAX-RS. But Hadoop has its own data processing and query framework called MapReduce. Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities that facilitates using a network of many computers to solve problems involving massive amounts of data and computation. Which of the following is not an input format in Hadoop ? Frequently asked Big Data interview questions that will help you tackle your Big Data Engineering interview. Correct Answer: Distributed file system. __________ can best be described as a programming model used to develop Hadoop-based applications that can process massive amounts of data. Above the file systems comes the ________ engine, which consists of one Job Tracker, to which client applications submit MapReduce jobs. d) Low specifications Industry grade hardware. All of the following accurately describe Hadoop, EXCEPT . Here, users are permitted to create Directed Acyclic Graphs of workflows, which can be run in parallel and sequentially in Hadoop. [Distributed file system] [JAX-RS] [Java Message Service] [Relational Database Management System] 7 people answered this MCQ question Distributed file system is the answer among Distributed file system,JAX-RS,Java Message Service,Relational Database Management System for the mcq Which of the following genres does Hadoop produce Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. ( D) a) Parsing 5 MB XML file every 5 minutes. It divides the data into smaller chunks and stores each part of the data on a separate node within the cluster. So, in this article, we will learn what Hadoop Distributed File System (HDFS) really is and about its various components. 1. Hadoop Components stand unrivalled when it comes to handling Big Data and with their outperforming capabilities, they stand superior. What does commodity Hardware in Hadoop world mean? Learn Hadoop Basics Multiple Choice Questions and Answers with explanations. 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