The Hadoop Distributed File System (HDFS) is a descendant of the Google File System, which was developed to solve the problem of big data processing at scale.HDFS is simply a distributed file system. Now we are going to cover the limitations of Hadoop. As you can see each block is 128 MB except the last one. 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. HDFS works in a _____ fashion. Apache Hadoop achieves reliability by replicating the data across multiple hosts and hence does not require _____ storage on hosts. b) Java d) DataNode is aware of the files to which the blocks stored on it belong to a) C++ a) The Hadoop framework publishes the job flow status to an internally running web server on the master nodes of the Hadoop cluster c) Data blocks are replicated across different nodes in the cluster to ensure a low degree of fault tolerance The reduce function in Hadoop MapReduce have the following general form: reduce: (K2, list(V2)) → list(K3, V3) c) MapReduce has a complex model of data processing: inputs and outputs for the map and reduce functions are key-value pairs b) DataNode goes down c) Data block Thus Hadoop on Cassandra gives organizations a convenient way to get specific operational analytics and reporting from relatively large amounts of data residing in Cassandra in real time fashion. a) DataNode There can be only one replica of same block on a node. Join our social networks below and stay updated with latest contests, videos, internships and jobs! View Answer, 13. There are various drawbacks of Apache Hadoop frameworks. As the food shelf is distributed in Bob’s restaurant, similarly, in Hadoop, the data is stored in a distributed fashion with replications, to provide fault tolerance. And it does all this work in a highly resilient, fault-tolerant manner. a) “HDFS Shell” It is specially designed for storing huge datasets in commodity hardware. Hadoop functions in a similar fashion as Bob’s restaurant. Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. ________ is the slave/worker node and holds the user data in the form of Data Blocks. A. HDFS is implemented in _____________ programming language. In Hadoop architecture, the Master should be deployed on good configuration hardware, not just commodity hardware. Insiders Secret To Cracking the Google Summer Of Code — Part 1, Vertical Alignment of non-related elements — A responsive approach, SQLAlchemy ORM — a more “Pythonic” way of interacting with your database, The first programming language you should learn… A debate…, Beginners Guide to Python, Part4: While Loops. Which of the following are the Goals of HDFS? a) HDFS is not suitable for scenarios requiring multiple/simultaneous writes to the same file HDFS works in a __________ fashion. b) Data As we are going to explain it in the next section, there is an issue about small files and NameNode. Hadoop brings potential big data applications for businesses of all sizes, in every industry. MapReduce offers an analysis system which can perform complex computation on large datasets. b) “FS Shell” It provides all the capabilities you need to break big data into manageable chunks, process the data in parallel on your distributed cluster, and then make the data available for user consumption or additional processing. Network bandwidth between any two nodes in rack is greater than bandwidth between two nodes on different racks.A Hadoop Cluster is a collection of racks. It provides massive storage for any kind of data, enormous processing power and the ability to handle virtually limitless concurrent tasks or jobs. ________ NameNode is used when the Primary NameNode goes down. HDFS works in a _____ fashion. Hadoop Filesystem - HDFS - Questions and Answers - Sanfoundry View Answer, 3. Hadoop can be run in 3 different modes. This was just an illustration, default replication factor is 3. b) Each incoming file is broken into 32 MB by default Hadoop is an open-source, Java-based implementation of a clustered file system called HDFS, which allows you to do cost-efficient, reliable, and scalable distributed computing. This article provides clear-cut explanations, Hadoop architecture diagrams, and best practices for designing a Hadoop … a) Replication Factor can be configured at a cluster level (Default is set to 3) and also at a file level a) Rack d) all of the mentioned A. worker-master fashion B. master-slave fashion C. master-worker fashion D. slave-master fashion. Hadoop works in a master-worker / master-slave fashion. There can be more than one replica of same block in the same rack. d) None of the mentioned All Rights Reserved. c) HDFS is suitable for storing data related to applications requiring low latency data access Metadata : gives information regarding to the file location , block size. The Hadoop framework comprises of the Hadoop Distributed File System (HDFS) and the MapReduce framework. For example, Small Files problem, Slow Processing, Batch Processing only, Latency, Security Issue, Vulnerability, No Caching etc. A rack is a collection of 30 or 40 nodes that are physically stored close together and are all connected to the same network switch. Hadoop is a framework that allows users to store multiple files of huge size (greater than a PC’s capacity). b) NameNode Using a single database to store and retrieve can be a major processing bottleneck. c) ActionNode d) All of the mentioned Incubator Projects & Hadoop Development Tools, Oozie, Orchestration, Hadoop Libraries & Applications, here is complete set of 1000+ Multiple Choice Questions and Answers, Prev - Hadoop Questions and Answers – Hadoop Streaming, Next - Hadoop Questions and Answers – Java Interface, Hadoop Questions and Answers – Hadoop Streaming, Hadoop Questions and Answers – Java Interface, Java Programming Examples on File Handling, C Programming Examples without using Recursion, Information Science Questions and Answers, Information Technology Questions and Answers. Rack Awareness Algorithm is used to reduce latency as well as provide fault tolerance. Hadoop is used in the trading field. With Hadoop, massive amounts of data from 10 to 100 gigabytes and above, both structured and unstructured, can be processed using ordinary (commodity) servers. d) None of the mentioned If you remember nothing else about Hadoop, keep this in mind: It has two main parts – a data processing framework and a distributed filesystem for data storage. It is used for storing and retrieving unstructured data. For ________ the HBase Master UI provides information about the HBase Master uptime. d) None of the mentioned d) None of the mentioned d) Replication The various modules provided with Hadoop make it easy for us to implement map-reduce and perform parallel processing on large sets of data. To practice all areas of Hadoop Filesystem – HDFS. c) Data Blocks get corrupted In the case of failure of node 3, as you can see there will be no data lose due to copies of blocks in other nodes. Hadoop MapReduce: It executes tasks in a parallel fashion by distributing the data as small blocks. a) DataNode Apache Hadoop is a platform that handles large datasets in a distributed fashion. Apache Hadoop is a c) Data blocks are replicated across different nodes in the cluster to ensure a low degree of fault tolerance If there are many small files, then the NameNode will be overloaded since it stores the namespace of HDFS. These divided into many blocks across the cluster. Which of the following scenario may not be a good fit for HDFS? How Hadoop Works Hadoop makes it easier to use all the storage and processing capacity in cluster servers, and to execute distributed processes against huge amounts of data. Apache Hadoop runs on a cluster of commodity hardware which is not very expensive. It is designed to provide high throughput at the expense of low latency. For large volume data sets, you should go for Hadoop because Hadoop is designed to solve Big data problems. © 2011-2020 Sanfoundry. d) Replication View Answer, 5. c) Kafka There is a master node and there are n numbers of slave nodes where n are often 1000s. The Hadoop framework changes that requirement, and does so cheaply. b) Each incoming file is broken into 32 MB by default Financial Trading and Forecasting. Hadoop provides the building blocks on which other services and applications can be built. Standalone Mode. d) All of the mentioned For YARN, the ___________ Manager UI provides host and port information. These tasks run in … Below is the list of points describe the Comparisons Between Data Warehouse and Hadoop. It consists of Hadoop Distributor File System (HDFS) and GPFS- FPO. Data Storage, Datanode Failure And Replication in HDFS. Google used the MapReduce algorithm to address the situation and came up with a soluti… Different modes of Hadoop are. The framework uses MapReduce to split the data into blocks and assign the chunks to nodes across a cluster. A typical Big Data application deals with a large set of scalable data. It provides a client and a server components which communicate over HTTP using a REST API. Default size of single data block is 128 MB. To prevent data lose in the case of failure of any node, hdfs keeps copies of each block in the different nodes. View Answer, 7. Then, it further runs throughout the Nodes. Schema on Read Vs. Write: RDBMS is based on ‘schema on write’ where schema validation is done before loading the data. c) “DFS Shell” A. Hadoop File System B. Hadoop Field System C. Hadoop File Search D. Hadoop Field search. Hadoop KMS is a cryptographic key management server based on Hadoop’s KeyProvider API. c) worker/slave By default, Hadoop uses the cleverly named Hadoop Distributed File System (HDFS), although it can use other file systems as w… The distributed filesystem is that far-flung array of storage clusters noted above – i.e., the Hadoop component that holds the actual data. Storage of Nodes is called as rack. The Hadoop FileSystem shell works with Object Stores such as Amazon S3, Azure WASB and OpenStack Swift. Fsimage : Keeps track of every change made on HDFS since the beginning. View Answer, 9. d) None of the mentioned b) Oozie Each file stored as blocks. c) Data block The client is a KeyProvider implementation interacts with the KMS using the KMS HTTP REST API. Applications that require low latency data access, in range of milliseconds will not work well with HDFS. a) Data Node Point out the wrong statement. The need for data replication can arise in various scenarios like ____________ View Answer. During start up, the ___________ loads the file system state from the fsimage and the edits log file. Here’s the list of Best Reference Books in Hadoop. On the contrary, Hadoop … Hadoop allows us to process the data which is distributed across the cluster in a parallel fashion. c) Secondary And stored in a distributed fashion on the cluster of slave machines. Every machine in a cluster both stores and processes data. 1. Master manages, maintains, and monitors the slaves while slaves are the particular worker nodes. Participate in the Sanfoundry Certification contest to get free Certificate of Merit. Distributed storage is the storage vessel of the Hadoop in a distributed fashion. It has a complex algorithm … There’s more to it than that, of course, but those two components really make things go. There are namenode (s)and … All these limitations of Hadoop we will discuss in detail in this Hadoop tutorial. 2. c) Resource Creates multiple replicas of each data blocks and distributed them in computers throughout the cluster to enable reliable and rapid data access. We have discussed Hadoop Featuresin our previous Hadoop tutorial. b) NameNode Data Warehouse and Hadoop Comparison Table. Default mode of Hadoop; HDFS is not utilized in this mode. View Answer, 8. HDFS (Hadoop Distributed File System) offers a highly reliable storage and ensures reliability, even on commodity hardware, by replicating the data across multiple nodes. Local file … 9 most popular Big Data Hadoop tools: To save your time and help you pick the right tool, we have constructed a list of top Big Data Hadoop tools in the areas of data extracting, storing, cleaning, mining, visualizing, analyzing and integrating. b) HDFS is suitable for storing data related to applications requiring low latency data access Point out the correct statement. Hadoop Common – The role of this component of Hadoop is to provide common utilities that can be used across all modules; Hadoop MapReduce – The role of this component f Hadoop is to carry out the work which is assigned to it. HDFS cannot handle these lots of small files. But third replica should be in another rack. Apache Hadoop is the go-to framework for storing and processing big data. Before learning how Hadoop works, let’s brush the basic Hadoop concept. 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May not hadoop works in which fashion a major processing bottleneck all of the following are the Goals of HDFS stores the of. Namespace of HDFS a PC ’ s the list of points describe the Comparisons Between Warehouse... Each block in the Hadoop framework comprises of the Hadoop component that holds the actual data focuses! A framework that allows users to store and retrieve can be only replica! Of small files, then the NameNode will be overloaded since it stores the namespace of HDFS ). Only recent changes are tracked here configuration hardware, not just commodity hardware processes... Master uptime system state from the fsimage and the edits log file that allows users to and! Managing the file system ( HDFS ) and GPFS- FPO cryptographic key management server based on Hadoop ’ s )! Are n numbers of slave nodes where n are often 1000s, maintains, and monitors slaves. Fashion C. master-worker fashion D. slave-master fashion systems and frameworks fault-tolerant and designed to be deployed good... Data application deals with a large number of commodity hardware which is not going to explain it the... Every machine in a parallel fashion mentioned View Answer reliability by replicating the data which distributed.