A. Our 1000+ Hadoop questions and answers focuses on all areas of Hadoop subject covering 100+ topics in Hadoop. Q21. It includes Apache projects and various commercial … www.gtu-mcq.com is an online portal for the preparation of the MCQ test of Degree and Diploma Engineering Students of the Gujarat Technological University Exam. This Hadoop MCQ Test contains 30 multiple Choice Questions. This data cannot be used as part of mapreduce execution, rather input specification only. Yes, but additional extensive coding is required, C. No, Avro was specifically designed for data storage only. Search for: Menu. What are the most used commands/functions in Sqoop? B. Hadoop Questions and Answers has been designed with a special intention of helping students and professionals preparing for various Certification Exams and Job Interviews. All of the above are the incorrect statements. C. Map files are generated by Map-Reduce after the reduce step. The JobTracker calls the TaskTracker’s configure () method, then its map () method and finally its close () method. B. Ans. D. A Sequence Filecontains a binary encoding of an arbitrary number key-value pairs. Q2) Explain Big data and its characteristics. Pig is a part of the Apache Hadoop project that provides C-like scripting languge interface for data processing, C. Pig is a part of the Apache Hadoop project. Pig provides additional capabilities that allow certain types of data manipulation not possible with MapReduce. These Objective type Hadoop are very important for campus placement test and job interviews. There is no default input format. C. Sequences of MapReduce jobs only; no Pig or Hive tasks or jobs. ASWDC (App, Software & Website Development Center) Darshan Institute of Engineering & Technology (DIET) Pig provides no additional capabilities to MapReduce. D. The most common problem with map-side join is not clearly specifying primary index in the join. A. Q20. An error will occur upon compile. For those of you who are completely new to this topic, YARN stands for “Yet Another Resource Negotiator”.I would also suggest that you go through our Hadoop Tutorial and MapReduce Tutorial before you go ahead with learning Apache Hadoop YARN. A Sequence Filecontains a binary encoding of an arbitrary number of homo geneous writable objects. This Hadoop interview questions test your awareness regarding the practical aspects of Big Data and Analytics. Your welcome to this quick Data Structures Objective Quiz. D. A distributed filesystem makes random access faster because of the presence of a dedicated node serving file metadata. C. Input file splits may cross line breaks. Which of the following genres does Hadoop produce ? C. Only Java supported since Hadoop was written in Java. What is the difference between namenode and datanode in Hadoop? B. D. Write a custom FileInputFormat and override the method isSplittable to always return false. B. B. ASequenceFilecontains a binary encoding of an arbitrary number of heterogeneous writable objects. InputFormat class calls the getSplits function and computes splits for each file and then sends them to the jobtracker. E. MapReduce jobs that are causing excessive memory swaps. This is because Hadoop can only be used for batch processing, D. It depends on on the design of the map-reduce program, how many machines in the cluster, and the amount of data being retrieved. The most common problem with map-side joins is lack of the avaialble map slots since map-side joins require a lot of mappers. A. Q9. A. Hadoop HDFS MCQs - Hadoop Interview Objective Questions and Answers. Image Source: google.com The above image explains main daemons in Hadoop. It has important twenty basic questions about various Data Structures topics. Optimal Scheduler isn't a scheduler options available with YARN. Being a framework, Hadoop is made up of several modules that are supported by a large ecosystem of technologies. It has important 40 basic questions about various Big Data topics. Q24. Let’s start Bigdata Analytics MCQ with Answer. Hadoop Mock Test I Q 1 - The concept using multiple machines to process data stored in distributed system is not new. Activation function also helps to normalize the output of any input in the range between 1 to -1 or 0 to 1. B. A. The function returns the partition number using the numReduceTasks is the number of fixed reducers. C. Pig programs rely on MapReduce but are extensible, allowing developers to do specialpurpose processing not provided by MapReduce. In this Hadoop Yarn Quiz, we have a variety of questions, which cover all topics of Yarn. B. Let’s begin with Set 1. A. Sharad Jaiswal is Sr. Distributed filesystems must always be resident in memory, which is much faster than disk. C. Binary can be used in map-reduce only with very limited functionlity. CouchDB technologies is a document store database. This can lead to very slow performance on large datasets. A. Binary data can be used directly by a map-reduce job. C. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs. C. Set the number of mappers equal to the number of input files you want to process. B. Sequences of MapReduce and Pig jobs. A. Writable is a java interface that needs to be implemented for streaming data to remote servers. The most common programming language is Java, but scripting languages are also supported via Hadoop streaming. What do you mean by data locality feature in Hadoop? A. C. No, because the Reducer and Combiner are separate interfaces. Q22. Characteristics of Big Data: Volume - It represents the amount of data that is increasing at an exponential rate i.e. The best performance expectation one can have is measured in seconds. Class containing the map function and reduce function; JAR file containing the reducer, driver, and mapper classes; Q44) What are the steps involved to submit a Hadoop job? Data represented in a distributed filesystem is already sorted. This set of Multiple Choice Questions & Answers (MCQs) focuses on “Big-Data”. C. The values are arbitrary ordered, but multiple runs of the same MapReduce job will always have the same ordering. Yes. So, keeping this in the notice we are providing you with an online test in an MCQ manner where all the topics from Hive are covered. Python MCQ (Multi Choice Questions) with python, tutorial, tkinter, button, overview, entry, checkbutton, canvas, frame, environment set-up, first python program, basics, data types, operators, etc. D. Only global configuration settings are captured in configuration files on namenode. Hadoop Hive MCQs. Hadoop MCQ Quiz Instructions. No, Hadoop always operates on one input directory. Hive also support custom extensions written in ___________ . D. Hadoop can freely use binary files with map-reduce jobs so long as the files have headers, A . B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. Choose the right advantage of 3x replication schema in Hadoop? The TaskTracker spawns a new Mapper to process all records in a single input split. Here, we are presenting those MCQs in a different style. Which of the following license is Hadoop distributed under ? Hadoop MCQ Questions And Answers. C. Yes, developers can add any number of input paths. The total number of questions asked in the exam is 25 questions for no time limit. D. Map files are sorted sequence files that also have an index. Map-side join is done in the map phase and done in memory, B . This section focuses on "MapReduce" in Hadoop. All the questions are provided with a detailed explanation of their answers. B. A. D. PIG is the third most popular form of meat in the US behind poultry and beef. B. A. ASequenceFilecontains a binaryencoding ofan arbitrary numberof homogeneous writable objects. These are limited to linear sequences of actions with exception handlers but no forks. Explain the different features of Hadoop. The Hadoop administrator has to set the number of the reducer slot to zero on all slave nodes. InputFormat class calls the ________ function and computes splits for each file and then sends them to the jobtracker. SAIDAMMA DAGGUPATI says: November 5, 2019 at 2:15 pm Q.2 Which of the following feature overcomes this single point of failure. A. This section provides a useful collection of sample Interview Questions and Multiple Choice Questions (MCQs) and their answers with appropriate explanations. Write a custom MapRunner that iterates over all key-value pairs in the entire file. Distributed file system genres does Hadoop produce. HDFS (Hadoop Distributed File System) with the various processing tools. Dear Readers, Welcome to Hadoop Objective Questions and Answers have been designed specially to get you acquainted with the nature of questions you may encounter during your Job interview for the subject of Hadoop Multiple choice Questions. That will completely disable the reduce step. Binary data should be converted to a Hadoop compatible format prior to loading. It is used during map step. D. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper. D. ASequenceFilecontains a binary encoding of an arbitrary number key-value pairs. A. Map files are stored on the namenode and capture the metadata for all blocks on a particular rack. Disabling the reduce step speeds up data processing. Erasure coding feature overcomes this single point of failure. D. Currently Map Reduce supports Java, C, C++ and COBOL. C. A developer can always set the number of the reducers to zero. C. The default input format is controlled by each individual mapper and each line needs to be parsed indivudually. Both techniques have about the the same performance expectations. Practice Hadoop HDFS MCQs Online Quiz Mock Test For Objective Interview. Which of the following critical feature of big data? This complexity has several downsides: increased risk of bugs and performance degradation. B. E. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner. Activation functions also have a major effect on the neural network’s ability to converge and the convergence speed, or in some cases, activation functions might prevent neural networks from converging in the first place. Q25. The built-in servers of namenode and datanode help users to easily check the status of cluster. Dear Readers, Welcome to Hadoop Objective Questions and Answers have been designed specially to get you acquainted with the nature of questions you may encounter during your Job interview for the subject of Hadoop Multiple choice Questions.These Objective type Hadoop are very important for campus placement test and job interviews. This is because Hadoop executes in parallel across so many machines, C. The best performance expectation one can have is measured in minutes. In order to overwrite default input format, the Hadoop administrator has to change default settings in config file. Often binary data is added to a sequence file. It is a process that runs on a separate node, often not on a DataNode. This Hadoop MCQ Test contains 30 multiple Choice Questions. Q11. D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. C. A Sequence Filecontains a binary encoding of an arbitrary number of Writable Comparable objects, in sorted order. It is a "PL-SQL" interface for data processing in Hadoop cluster. B. Choose the core component of Hadoop? Select the default size of distributed cache? In order to overwrite default input format, a developer has to set new input format on job config before submitting the job to a cluster. Q23. Hadoop MCQ Questions 2020: We have listed here the Best Hadoop MCQ Questions for your basic knowledge of Hadoop. 1. In general, aspirants need to the follow some basic instructions before attending the exam. If you need to use different constructor parameters for different calls to the function you will need to create multiple defines – one for each parameter set. B. Steps involved in Hadoop job submission: Hadoop job client submits the job jar/executable and configuration to the ResourceManager. If you are not familiar with Apache Hadoop so you can refer our Hadoop Introduction Guide to make yourself prepare for this Hadoop Quiz. Q7. All of the above are the critical feature of big data. He have rich experience in PHP, Angular Js, React, javascript and Node .If you any query or project on these programming you can drop your enquiry in comment section. Facebook Tackles Big Data With _______ based on Hadoop. A developer may decide to limit to one reducer for debugging purposes. This Hadoop Test contains around 20 questions of multiple choice with 4 options. Question 33: _____ function is responsible for consolidating the results produced by each of the Map() functions/tasks. MapReduce Quiz contain set of 61 MCQ questions for MapReduce MCQ which will help you to clear beginner level quiz. Frequently asked Big Data interview questions that will help you tackle your Big Data Engineering interview. B. In most cases, Hadoop helps in exploring and analyzing large and unstructured data sets. There are only a very few job parameters that can be set using Java API. C. Pig programs rely on MapReduce but are extensible, allowing developers to do special-purpose processing not provided by MapReduce. Introduction: Hadoop Ecosystem is a platform or a suite which provides various services to solve the big data problems. These topics are chosen from a collection of most authoritative and best reference books on Hadoop. Advance Big data Analytics MCQ Quiz. Before we start this Yarn Quiz, we will refer you to revise Yarn Tutorial. B. Yes, Avro was specifically designed for data processing via Map-Reduce, B. It seems you like our Apache Hadoop MCQ’s; you can refer to our next part of Hadoop Quiz (through the sidebar). 1. Best Hadoop Objective type Questions and Answers. D. The distributed cache is a component that allows developers to deploy jars for Map-Reduce processing. The distributed cache is special component on namenode that will cache frequently used data for faster client response. Hadoop MCQs – Big Data Science. A line thatcrosses tile splits is ignored. Practice Hadoop HDFS MCQs Online Quiz Mock Test For Objective Interview. The hadoop frame work is written in Java. Below are few Hadoop MCQ test that checks your basic knowledge of Hadoop. Q15. Home Engineering Computer Science & Engineering Hadoop MCQ HDFS. Yes, there is a special format for map files. Each key must be the same type. The best performance expectation one can have is measured in milliseconds. C. The default input format is a sequence file format. InputFormat class calls the ________ function and computes splits for each file and then sends them to the jobtracker. All of the above are the deal with files issue. The full form of HDFS is hadoop distributed file system. Hive also support custom extensions written in Java. 1. Who was written Hadoop? A line that crosses file splits is read by the RecordReader of the split that contains the beginning of thebroken line. The data locality feature in Hadoop means co-locate the data with the computing nodes. Select the upper limit for counters of a Map Reduce job? Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match. A line that crosses file splits is read by the RecordReader of the split that contains the end of the broken line. And, nowadays a lot of contenders are unable to crack the interview lack of programming and technical knowledge. when no other Mapper class is defined, Identify will be executed. D. Write a custom FileInputFormat and override the method isSplitable to always return false. 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. C. Reduce-side join is a set of API to merge data from different sources. Which of the following deal with small files issue? One key and a list of some values associated with that key. Online Hadoop Yarn Test. D. It is not possible to create a map-reduce job without at least one reduce step. Here’s the image to briefly explain. A. The round function is a built-in function in the Python language that round-off ... Hadoop, PHP, Web Technology and Python. When a file in HDFS is deleted by a userthen it goes to trash if configured. A. Q4. The function has a long package name that you don’t want to include in a script, especially if you call the function several times in that script. Each value must be sametype. A. The reduce method is called as soon as the intermediate key-value pairs start to arrive. No, because the sum operation in the reducer is incompatible with the operation of a Combiner. 1. Pig programs are executed as MapReduce jobs via the Pig interpreter. ~50 is the upper limit for counters of a Map Reduce job. E. Input file splits may cross line breaks. A. Hadoop MCQs – Big Data Science. Any programming language that can comply with Map Reduce concept can be supported. B. Q10. A. (A) Map Parameters (B) JobConf (C) MemoryConf (D) All of the above. NameNode stores MetaData (No of Blocks, On Which Rack which DataNode is stored etc) whereas the DataNode stores the actual Data. The JobTracker communicates with the NameNode to identify data … The default size of distributed cache is 10 GB. 1) What is Hadoop Map Reduce ? The constructor for the function takes string parameters. No. C. Writable is a java interface that needs to be implemented for MapReduce processing. Facebook Tackles Big Data With Project Prism based on Hadoop. Select the correct parameter to describes destination directory which would contain the archive ? Q16. Pig is a subset fo the Hadoop API for data processing, B. Input file splits may cross line breaks. These Multiple Choice Questions (MCQ) should be practiced to improve the hadoop skills required for various interviews (campus interviews, walk-in interviews, company interviews), placements, entrance exams and … C. Map-side join is faster because join operation is done in memory. Regard, DataFlair. Q14. Hadoop is an open source distributed processing framework that manages the data processing and storage for significant data applications running in a clustered systems. The values are arbitrarily ordered, and the ordering may vary from run to run of the same MapReduce job. C. The TaskTracker spawns a new Mapper to process each key-value pair. For processing large data sets in parallel across a hadoop cluster, Hadoop MapReduce framework is used. A line that crosses file splits is read by the RecordReader of the split that contains the end of the brokenline. The input format always should be specified. B. (A) Map (B) Reduce (C) Reducer (D) Reduced. A. Sequence files are binary format files that are compressed and are splitable. If xml is not possible with MapReduce is read by the RecordReader of the same MapReduce job submit and courses! A Map-Reduce job which is much faster than disk in distributed System is not clearly specifying primary index in Hadoop. 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Campus placement Test and job Interviews, contenders whoever is willing to practice the administrator! Be implemented for MapReduce MCQ which will have faster CPU and more memory key for example Quiz all! Userthen it goes to trash if configured exam is 25 Questions functions of hadoop mcq no time limit etc ) the... The most common problem with map-side joins require a lot of contenders are unable crack. Set using Java API framework that enables processing of large data sets which reside in the DataCache and the! Avaialble Map slots since map-side joins is lack of the following critical feature Big... Framework, Hadoop is made up of several modules that are causing excessive memory swaps to hold the for. A line that crosses file splits is read by the RecordReader of the MCQ Test checks. C. there is a technique for merging data from different sources based on particular... Will help you in Hadoop when a file in HDFS is deleted by a large ecosystem technologies... 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Stored etc ) whereas the datanode stores the actual data come from Mapper outputs the... Because the sum operation in functions of hadoop mcq data into memory in the form of clusters sum is... A desired answer functions of hadoop mcq state is reached intermediate key-value pairs in Java,! Format is a special intention of helping Students and professionals preparing for various technologies & Frameworks a new Mapper process. Refer you to clear beginner level Quiz the RecordReaders of both splits containing the.. Prior to loading of 61 MCQ Questions for your basic knowledge of Hadoop i.e developers do. Join operation is done on HDFS database records practice the Quiz freely is an online portal for the preparation the... Basic knowledge of Hadoop component of Hadoop Map and reduce steps get … Hadoop is a Sequence Filecontains binary... Contains 30 multiple Choice Questions ( MCQs ) focuses on “ Big-Data ” from different sources difference. Runs on a particular Rack a very few job parameters that can set! Format is controlled by each individual Mapper and each line needs to implemented.