Hadoop Questions and Answers has been designed with a special intention of helping students and professionals preparing for various Certification Exams and Job Interviews.This section provides a useful collection of sample Interview Questions and Multiple Choice Questions (MCQs) and their answers with appropriate explanations. Define Big Data and explain the Vs of Big Data. Oracle Big Data, Data Science, Advance Analytics & Oracle NoSQL Database Securely analyze data across the big data platform whether that data resides in Oracle Database 12c, Hadoop or a combination of these sources. 2000 b.1999 c.2001 d.none, a. Doug Laney b.Grace Hopper c.both a& b d.none, a. amount of data b. number of types of data c.speed of data processing, 44. refers to the speed at which data is being generated, produced, In a big data environment, it's also important that data governance programs validate new data sources and ensure both data quality and data integrity. Explanation: All of the above are the main components of Big Data. 1. is the process of examining large and varied data sets. Variety: If your data resides in many different formats, it has the variety associated with big data. Data analytics is the framework for the organization’s data. Big data analytics is an advanced technology that uses predictive models, statistical algorithms to examine vast sets of data, or big data to gather information used in making accurate and insightful business decisions.ASP.Net is an open-source widely used advanced web development technology that was developed by Microsoft. Big Data security is the processing of guarding data and analytics processes, both in the cloud and on-premise, from any number of factors that could compromise their confidentiality. Explanation: Data which can be saved in tables are structured data like the transaction data of the bank. It helps organizations to regulate their data and utilize it to identify new opportunities. Practice MCQ on Big Data covering topics such as Big Data and Apache Hadoop, HBase, Mongo DB, Data Analytics using Excel and Power BI, Apache CouchDB Now! 46. refers to how accurate and correct the data is for its intended unstructured for analysis using traditional database technology and techniques The framework can be used by professionals to analyze big data and help businesses to make decisions. It's easy to get carried away granting permissions to users so that they can get their jobs done without trouble, but that could be contributing to this serious problem. The Big Data Analytics Online Quiz is presented Multiple Choice Questions by covering all the topics, where you will be given four options. Big data analytics. D. All of the above. In addition, enterprises need to watch out for how data … First, big data can be an entirely new source of data. 26.In traditional Business Intelligence the data is analyzed in mode. a. Larry Page b. Doug Cutting c. Richard Stallman d. Alan Cox 2. 4. Big data is an evolving term that describes any voluminous amount of. My organization knows what data we have, where that data resides, how that data is defined, produced and used, in shared databases and on people’s desktops. For example, big data stores typically include email messages, word processing documents, images, video and presentations, as well as data that resides in structured relational database management systems (RDBMSes). Explanation: Apache Pytarch is incorrect Big Data Technologies. Big Data Solved MCQ. This Big Data Analytics Online Test is helpful to learn the various questions and answers. This feature of Hadoop we will discuss in detail in this tutorial. functions. (D) All … 49. refers to the frequency of the incoming data that needs to be 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. According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop? • Suitable for Big Data Analysis. C. Apache Kafka 8. The data which is residing outside an organization’s firewall are, a. ASP.Net programming languages include C#, F# and Visual Basic. Before you move on, you should also know that HBase is an important concept that … Choose your answers to the questions and click 'Next' to see the next set of questions. Big Data Solved MCQ contain set of 10 MCQ questions for Big Data MCQ which will help you to clear beginner level quiz. a. A very efficient means for visualizing the instructions for Big Data and metadata handling is through utilization of a data … This section focuses on "Big Data" in Hadoop. You will have to read all the given answers and click over the correct answer. A. MapReduce (A) Big data management and data mining (B) Data … Explanation: All of the above are Benefits of Big Data Processing. C. Google Big Data MCQ Questions And Answers. Which of the following are incorrect Big Data Technologies? This set of Multiple Choice Questions & Answers (MCQs) focuses on “Big-Data”. Big data that encompasses this info contains a major, formerly missing piece of the analytics puzzle. D. A sound Cutting’s laptop made during Hadoop development. This set of multiple choice question – MCQ on data warehouse includes collections of MCQ questions on fundamental of data warehouse techniques. Explanation: Apache Kafka is an open-source platform that was created by LinkedIn in the year 2011. The answer to this is quite straightforward: Big Data can be defined as a collection of complex unstructured or semi-structured data sets which have the potential to deliver actionable insights. Big data is used to uncover a.hidden patterns&unknown correlations b. market trends & customer preferences c. other useful information d. all the above 3.The term “Big data” was first used to refer to increasing data volumes in the Think about the number of people tha… Input to the _______ is the sorted output of the mappers. Structured b.semistructured c.unstructured d.all the above, a. volume, vulnerability,variety b. volume, velocity and variety, c. variety,vulnerability,volume d.velocity,vulnerability,variety, a. B. Apache Spark So, the applicants need to check the below-given Big Data Analytics Questions and know the answers to all. Tell us how big data and Hadoop are related to each other. a. Internal data source b.External data source c.Both a& b d.none, 20. (B) Mapper. Big data governance must track data access and usage across multiple platforms, monitor analytics applications for ethical issues and mitigate the risks of improper use of data. 5. 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. B. Facebook HBase Architecture. A. LinkedIn 6. a.Internal data source b.External data source c.both a& b d.none, 22. Start studying Big Data - Fill-in, True/False & Multiple Choice Questions. Their main objective is to extract information from a disparate source and examine, clean, and model the data to determine useful information that the business may need. MCQ No - 1. This section focuses on "Big Data" in Hadoop. The overall percentage of the world’s total data has been created just within the past two years is ? a. composition b.condition c. context d.none, a. composition b.condition c.context d.none, 9. tells about where the data is been generated, a. composition b.context c.condition d.none, 10. D. IBM. 7. deals with the nature of the data as it is static or real-time streaming. 10. What do you know about data analytics? 7. The big data uses which type of data, 29. 1. Big data analytics b.cloud computing c. machine learning d.none 2. D. a process to upgrade the quality of data before it is moved into a data warehouse. Explanation: data in Peta bytes i.e. 1. created or refreshed, a. volume b. velocity c. variance d. value, a. structured data b. unstructured data c. semi-structured data d. all the above. In large data centers with business continuity requirements, most of the redundancy is in place and can be leveraged to create a big data environment. Creator Doug Cutting’s favorite circus act The characteristics of the data includes, a. composition b. condition c. context d. all the above, 6. C. YARN As Big Data tends to be distributed and unstructured in nature, HADOOP clusters are best suited for analysis of Big Data. 36. There are some important ways that big data is different from traditional data sources. B. Cuttings high school rock band Big Data technology uses parallel mass processing (MPP) concepts, 37. Pioneers are finding all kinds of creative ways to use big data to their advantage. 3. Cloud computing. B. Dr.N.G.P. Extraction, Transition and Loading, c.Extraction, Transformation and Loading d.none, a. Hadoop Dynamic file system b. Hadoop Digital File system, c. Hadoop data file system d. Hadoop Distributed File system, 31.In a typical Hadoop environment the data focuses on, a.only the company’s firewall b. outside the company’s firewall, c.both a& b d.none, 32. Market trends & customer preferences. Now further moving ahead in our Hadoop Tutorial Series, I will explain you the data model of HBase and HBase Architecture. (C) Shuffle. type of data source? If you are not sure about the answer then you can check the answer using Show Answer button. 3V’s(volume, variety and velocity) are three defining properties or dimensions of, a. cloud computing b. big data c. machine learning d.none, a. number of types of data b. amount of data, c. speed of the data processing d.none, 40. AI has been disrupting the insurance space in the ways that insurers handle claims processing, underwriting, and even customer service. You will able to leverage your existing Oracle … We will learn what is data locality in Hadoop, data locality definition, how Hadoop exploits Data Locality, what is th… use. Could you pass this quiz? This is one of the most introductory yet important Big Data interview questions. 48. refers to trustworthiness of the data. C. The toy elephant of Cutting’s son C. Both A and B PG & Research department of Computer Science. The very complex and unstructured data are used in the time period of, a.1980 and 1990s b.late 1960s c. 1970s and before d.2000s and beyond, 14. Some Big Data metadata support considerations – BPEL, RDF and metadata repositories. Q2.Big Data is use to uncover? Big data is difficult to move around and keeping it synced when uploading to the cloud poses many challenges. You can use Next Quiz button to check new set of questions in the quiz. 1. Who created the popular Hadoop software framework for storage and processing of large datasets? Explanation: Doug Cutting, Hadoop creator, named the framework after his child’s stuffed toy elephant. The 3Vs concept was introduced in the year, a. Businesses can utilize outside intelligence while taking decisions What makes data big, fundamentally, is that we have far more opportunities to collect it, … B. HDFS d. None of the above. Internal data source b.External data source c.only a d.none. processed. Which of the following are Benefits of Big Data Processing? c. Machine learning. a. velocity b. validity c. variance d. value, 47. refers more to the provenance or reliability of the data source, a. Veracity b. validity c. variance d. value. Big Data metadata design tools can greatly help to visualize new data flows. In his book Taming the big data tidal wave, the author Bill Franks suggested the following ways where big data can be seen as different from traditional data sources. Multiple Choice Questions . In how many forms BigData could be found? Arts and Science College(Autonomous) Improved customer service In Hadoop, Data locality is the process of moving the computation close to where the actual data resides on the node, instead of moving large data to computation. (c) Extraction, Transformation, Loading, Get ready for your exams with the best study resources, Sign up to Docsity to download documents and test yourself with our Quizzes, Only users who downloaded the document can leave a review, Computer science, Architectural Engineering, "very good effort to collect the question", basics of big data analytics and apache hadoop ,mongodb, Knowledge Management - Data Analytics - Exam. Next . The data from the CCTV coverage and weather forecast report is of, a.Structured b.Unstructured c.Semi-Structured d.none, 19.The data which is present within the company’s firewall, a. The full form of OLAP is A) Online Analytical Processing 10^15 byte size is called Big Data. Dynamic file system c. Distributed file system d.none, 17.Apache Hadoop is a software framework, a. proprietary b.non-proprietary c.licensed d.none, 18. People who are online probably heard of the term “Big Data.” This is the term that is used to describe a large amount of both structured and unstructured data that will be a challenge to process with the use of the usual software techniques that people used to do. In my previous blog on HBase Tutorial, I explained what is HBase and its features.I also mentioned Facebook messenger’s case study to help you to connect better. C. Better operational efficiency Answer: Big data and Hadoop are almost synonyms terms. Apache Kafka is an open-source platform that was created by? Learn vocabulary, terms, and more with flashcards, games, and other study tools. c. Other useful information. The world wide web(WWW) and the Internet of Things(IoT) led to an onslaught of, a. structured b. unstructured c. multimedia data d. all the above, 13. A. 6. Hidden patterns & unknown correlations. 1. In new implementations, the designers have the responsibility to map the deployment to the needs of the business based on costs and performance. B. a process to load the data in the data warehouse and to create the necessary indexes. For example, most of us have Objective. A. The data was essentially primitive and structured in, a.1980 and 1990s b.late 1960s c. 1970s and before d.2000s, a. unstructured data b. data-intensive applications c. basic data storage d.none, 12. Unlock insights using a big data or cloud-based data-staging environment so data is accessible anywhere it resides, including the ERP Create interactive reports that … D. None of the above. b. This minimizes network congestion and increases the overall throughput of the system. 21.The sensor data, Machine log data,social media data ,business app data ,media are of which Distributed file system c.both a&b d.none, a.Horizontally b.Randomly c.Vertically d.none, a.in or out horizontally b.vertically c.both a&b d.none. D. All of the above. 5. Meta-Data Management – We have meta-data for the most important data we manage. The average enterprise (it's unknown how many people Lepide counts as "average") has around 66 privileged users, and those users are on average making two Active Directory changes and three Exchange Server modifications per day. Big data analytics b.cloud computing c. machine learning d.none, a.hidden patterns&unknown correlations b. market trends & customer preferences, c. other useful information d. all the above, 3.The term “Big data” was first used to refer to increasing data volumes in the, a. early 1990’s b.mid 1990’s c.late 1990’s d.none, 4.The big data are collected from a wide variety of sources, 5. a. a.realtime&offline b.offline mode c.only realtime d.none, a.realtime & offline b.offline mode c.only realtime d.none, 28.In a typical data warehouse environment ERP stands for, a.Enterprise Resource Planning b.Enterprise Relationship Planning, c. External Resource Planning d. none, 29.In a typical data warehouse environment the data is integrated,cleaned up, transformed and a. Velocity b. validity c. variance d. value, 50. A. a process to reject data from the data warehouse and to create the necessary indexes. It includes objective questions on components of a data warehouse, data warehouse application, Online Analytical Processing(OLAP), and OLTP. Big Data Analytics (2180710) MCQ. With the rise of big data, Hadoop, a framework that specializes in big data operations also became popular. a. A. Apache Hadoop Q1.Which is the process of examining large and varied data sets? The most important 3V’s in the big data are, a. volume, variety and velocity b. volume, variable & velocity, c. volume ,variety and vacancy d. none, 38. The composition of the data deals with the, a. structure of data b. state of the data c. sensitivity of the data d.none. standardized through the process of, a.Extraction,Transformation and Linking b. 35.Big Data solutions carry the processing functions to the data, rather than the data to the MCQs of INTRODUCTION TO BIG DATA. Artificial Intelligence. Answer : a . Big Data Fundamentals Chapter Exam Instructions. a. 1. A. structured data 1. Explanation: BigData could be found in three forms: Structured, Unstructured and Semi-structured. In Traditional Business Intelligence(BI) environment, all the enterprise’s data is housed in a, a.Distributed file system b.central server c.both a& b d.none, 23.In Big data environment data resides in a, a.Central server b. Insights gathered from big data can lead to solutions to stop credit card fraud, anticipate and intervene in hardware failures, reroute traffic to avoid congestion, guide consumer spending through real-time interactions and applications, and much more. What are the main components of Big Data? D. Apache Pytarch. Data in ___________ bytes size is called Big Data. Explanation: The overall percentage of the world’s total data has been created just within the past two years is 90%. Digital file system b. 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. Explanation: There are 3 v's of bigdata : Velocity, Variability, Variety and Volume. C. a process to upgrade the quality of data after it is moved into a data warehouse. Following quiz provides Multiple Choice Questions (MCQs) related to Hadoop Framework. B. unstructured datat Since it is processing logic (not the actual data) that flows to the computing nodes, less network bandwidth is consumed. 4. The Business Intelligence(BI) uses which type of data, a. structured b.Unstructured c.Semi-structured d.all the above, a.structured b.Unstructured c. Semi-structuresd d.all the above, 34.The data are much safer and is has more flexible space in, a.Business Intelligence b.Big data c. both a&b d.none. (A) Reducer. b. data that has the potential to be mined for information. Better to remain within the on-premise environment in such cases.