Work Place: Nagarro Software Pvt Ltd. A - It is lost for ever B - It can be replicated form its alternative locations to other live machines. Our requirement is user connected to one of the datacenters either DCE or DCW should be able to access his data which is existing in some other opposite datacenter. But HDFS federation is also backward compatible, so the single namenode configuration will also work without any changes. 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 other competitive examinations. Which of the following is true about the Hadoop federation? It allows new services to use block storage directly. MapReduce processes the original files names even after files are archived. These independent namenodes are federated i.e. Required fields are marked * Comment. C) Hadoop is an open source program that implements MapReduce. 30 seconds . It enables the block storage layer. Which of the following is true? 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 other competitive examinations. These commands are widely used to process the data and related files. Build vs. Buy In-App Chat: Which Option Is Best for You? Mahout. ( C) a) Master and slaves files are optional in Hadoop 2.x Each block pool is managed independently. Hadoop Pig MCQs : This section focuses on "PIG" in Hadoop. The new configuration is designed such that all the nodes in the cluster have the same configuration without the need for deploying different configurations based on the type of the node in the cluster. Prior to Hadoop 2.0.0, the NameNode was a single point of failure (SPOF) in an HDFS cluster. These datanodes are used as common storage by all the namenodes. You have to select the right answer to every question. D - Only the storage capacity is increasing without increase in data transfer rate. A) Hadoop is written in C++ and runs on Linux. Thanks! It enables support for multiple namespaces in the cluster to improve scalability and isolation. b) core-site.xml . Many small files will become fewer large files. Reply; Leave a Reply Cancel reply. It is designed to store and retrieve data in a manner that does not rigidly enforce the atomicity, consistency, isolation, and durability (ACID) conditions associated with the relational database model. The qualifying parameter for a data to become ‘Big Data’ is/are Volume Variety Variability Velocity Capabilities that can be claimed for BigData Technology is/are Cost Effectiveness Scalabilily Good Processing Power Big Data is capable of doing parallel processing. The Streams Big Data toolkit operators that interface with HDFS uses Apache Flume to integrate with Hadoop C . 24. It enables the block storage layer. 4. 3. Q. The configuration file should be propagated to all the nodes in the cluster. Democracy is not suitable for large countries with wide social diversities. 72. With this, let us now move on to our next topic which is related to Facebook’s Hadoop Cluster. Which of the following is NOT true: a. Hadoop is decentralized b. Hadoop is distributed. What are the most popular password cracking tools? Also, we all know that Big Data Hadoop is a framework which is on fire nowadays. In a cluster, the datanodes stores blocks for all the block pools. When same mapper runs on … HDFS Federation improves the existing HDFS architecture through a clear separation of namespace and storage, enabling generic block storage layer. which component determines the specific nodes that a mapreduce task will run on? Which of the following Hadoop config files is used to define the heap size? which of the following is not an open source project related to hadoop? TechAlpine is a technology centric software Solution Company in India. About Big Data Hadoop. 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 other competitive examinations. Hadoop is capable of running MapReduce programs written in various languages: Java, Ruby, Python, and C++. Bob intends to upload 4 Terabytes of plain text (in 4 files of approximately 1 Terabyte each), followed by running Hadoop’s standard WordCount1 job. Tags: Question 9 . Q 21 - When archiving Hadoop files, which of the following statements are true? Q: Principle component analysis determines the direction of maximum variance of data for a given feature set.True or false asked Jan 23, 2020 in Data Science by AdilsonLima #principle-component Which of the following is/ are true about “Maximum Likelihood estimate (MLE)”? And, many Software Industries are … It is important here that the cluster id mentioned here should be the same of that mentioned in the step 1. Many small files will become fewer large files. A - Data Seek time is improving faster than data transfer rate. Uncategorized; Dec, 12, 2020; No Comments d. Hadoop is highly scalable. Q 21 - When archiving Hadoop files, which of the following statements are true? Start the new namenode and the secondary namenode, Refresh the other datanodes to pick the newly added namenode by running the following command –. Add a new namenode to an existing cluster: We have already described that multiple name node is at the heart of Hadoop federation. In Hadoop v2, the following features are available: Scalability - You can have a cluster size of more than 10,000 nodes and you can run more than 100,000 concurrent tasks. management-information-systems; 0 Answers. 3. A . Which of the following statements regarding importing streaming data from InfoSphere Streams into Hadoop is TRUE? Subscriptions _____ requires users to request business intelligence results. Federation configuration is backward compatible and allows existing single Namenode configurations to work without any change. 2) Which of the following is true about Hadoop High Availability? Let us summarize our discussion in the form of following bullets, Your email address will not be published. Which of the following is not true about Pig? Which of the following statements regarding importing streaming data from InfoSphere Streams into Hadoop is TRUE? A. InfoSphere Streams utilizes Flume to interface to Hadoop. b. Choose the correct option from below list ADS Posted In : BigData | Apache Pig: Which of the following is not a scalar data type? Let us check the limitations as explained below –. D. Democracy does not provide scope for dissent. Archived files will display with the extension .arc. C. Buffering techniques are used to process incoming streams from InfoSphere Streams Data Seek time is improving faster than data transfer rate. Q 5 - Which of the following is true for disk drives over a period of time? The latest major release of Hadoop is version 3. 1. A. InfoSphere Streams utilizes Flume to interface to Hadoop. Benefits of HDFS Federation. This Hadoop MCQ Test contains 30 multiple Choice Questions. asked Jun 18, 2016 in Business by Fantastic_One. Since 2004 from its launch, Facebook is one of the biggest users of Hadoop Cluster. MLE may not always exist; MLE always exists; If MLE exist, it (they) may not be unique ; If MLE exist, it (they) must be unique; #mle Show 1 Answer. Hadoop federation allows scaling the name service horizontally. Which of following statement(s) are correct? c) Runs on Single Machine with all daemons . Select one:a. B. It also expands the architecture of an existing HDFS cluster to allow new implementations and use cases. InfoSphere Streams can both read from and write data to HDFS B . You have to select the right answer to every question. We have a block pool which is a set of blocks that belong to a single namespace. B) Hadoop includes a query language called Big. C. JobTracker. Hadoop Pig MCQs : This section focuses on "PIG" in Hadoop. DataFlair has published a series of Hadoop Quizzes from basic to advanced. The qualifying parameter for a data to become ‘Big Data’ is/are Volume Variety Variability Velocity Capabilities that can be claimed for BigData Technology is/are Cost Effectiveness Scalabilily Good Processing Power Big Data is capable of doing parallel processing. ” Zamir says: April 20, 2015 at 2:33 pm. When same mapper runs on the different dataset in same job. answered Dec 31, 2019 by SakshiSharma. Best Hadoop Objective type Questions and Answers. 5. Hadoop federation comes up with some advantages and benefits. Which of the following tool is designed for efficiently transferring bulk data between Apache Hadoop and structured datastores such as relational databases. Which of the following statements is true of Hadoop? Choosetwoanswers 1. 3. Exp: Using the Double Trailing @ Line-Hold Specifier . Your email address will not be published. This is basically a mechanism in place to handle the reads with optimistic concurrency. Data Pump: a tool to backup and restore database. The programs of Map Reduce in cloud computing are parallel in nature, thus are very useful for performing large-scale data analysis using multiple machines in … It uses several namenodes or namespaces which are independent of each other. False. 1) We are having two datacenters named DCE and DCW in two distinct locations. Apache Sqoop. Hadoop is an open-source framework that allows to store and process big data across a distributed environment with the simple programming models. Sliding window operations typically fall in the category (C ) of__________________. HDFS high availability, HDFS federations, and HDFS snapshots were some other prominent features introduced in version 2 releases. Figure 1: An HDFS federation architecture. The current HDFS architecture has two layers –. Hadoop MCQ Questions And Answers. 0 votes. A. InfoSphere Streams can only write to HDFS not read from HDFS. Which of the following is not true about Pig? Which of the following is not a valid Hadoop config file? which components determines on which nodes map run in hadoop, which hadoop component can be used for etl, which hadoop component can be used to transfer data from relational db to hdfs, which hadoop component is best suited for pulling data from the web, which of the following characteristics is common to pig. Correct answer is C. 0. B) Hadoop includes a query language called Big. 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 other competitive examinations. ii) Hadoop High Availability feature supports only single Namenode within a Hadoop cluster. b) Big Data Batch Processing. C) Hadoop is an open source program that implements MapReduce. SURVEY . Overview: We are well aware of the features of Hadoop and HDFS. Which of the following is true for disk drives over a period of time? 2. 8. which component determines the specific nodes that a mapreduce task will run on? Communicates directly with the active NameNode to maintain the state of the active NameNode. Posted on July 14, 2017 August 10, 2017 by sanjeeva. (a) A Hadoop program for copying large amounts of data to and from the Hadoop Filesystem in parallel. How to build trust in your eCommerce brand? These independent namenodes are federated i.e. 4. what is true about pig and hive in relation to the hadoop ecosystem? If one namenode fails for any reason, the datanode keeps on serving from other namenodes. Uses JournalNodes to decide the active NameNode; Allows non-Hadoop programs to access data in HDFS; Allows multiple NameNodes with their own namespaces to share a pool of DataNodes; Implements a resource manager external to all Hadoop frameworks; 15. (C) a) It runs on multiple machines. 4. I am having the following requirement, can you please suggest is it feasible with Hadoop (HDFS ) or not and how. _____ are user requests for particular business intelligence results on a particular schedule or in response to particular events. When same mapper runs on the different dataset in same job. If not provided, a unique cluster id is generated at the time of formatting. on which file system (fs) is the output of a mapper task stored? 6. which of the following is a duty of the datanodes in hdfs? Hadoop does not require high performance computers to be powerful. Hadoop fs Commands are the command-line utility for working with the Hadoop system. Two @@ hold the data records until the bottom of the DATA step. Hadoop MCQ Questions And Answers. Reply; Ramesh Hiremath says: July 6, 2015 at 5:26 pm. Archived files must be UN archived for HDFS and MapReduce to access the var keyword declares a block scoped variable. Posted in BigData Tagged 3 phases of mapreduce, 6. which of the following is a duty of the datanodes in hdfs?, 7. which of the following is a duty of the namenode in hdfs?, 8. which component determines the specific nodes that a mapreduce task will run on?, An introduction to the Hadoop Distributed File System, and jaql, Apache Spark Journey - Hadoop Component to Big Data Platform, applications of mapreduce, … 72. If you used “mycluster” as the nameservice ID earlier, this will be the value … One namespace and its block are collectively called Namespace Volume. they don’t require inter coordination. b. c) core-site.xml. Hadoop is an open source program that implements MapReduce. C - Data Seek time and data transfer rate are both increasing proportionately. Using this approach it becomes easier to implement the HDFS cluster. Before you start, please bookmark all quizzes and finish them before appearing for the next interview: Hadoop Quiz – 1; Hadoop Quiz – 2; Hadoop Quiz – 3; Hadoop Quiz – 4 What is going to happen? Hadoop federation separates the namespace layer and storage layer. View:-557 Question Posted on 19 Dec 2020 Which of the following is not a scalar data type? 1) What is identity mapper in hadoop. It also expands the architecture of an existing HDFS cluster to allow new implementations and use cases. b) Runs on multiple machines without any daemons. This enables the name space to generate block ids for new blocks without informing other namespaces. d) Runs on Single Machine without all daemons. HDFS federation feature added to Hadoop 2.x provides support for multiple NameNodes/namespaces. False. The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications. It is an independent organisation and acts as an umbrella organisation for 41 German consumer associations working to protect consumer interests. Its power is in the library itself. 0. 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. c. Hadoop is open source. Each machine has 500GB of HDFS disk space.
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