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D. IBM. 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. 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. 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. If you are not sure about the answer then you can check the answer using Show Answer button. Arts and Science College(Autonomous) d. None of the above. 10^15 byte size is called Big Data. This set of multiple choice question – MCQ on data warehouse includes collections of MCQ questions on fundamental of data warehouse techniques. 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. 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. 7. This set of Multiple Choice Questions & Answers (MCQs) focuses on “Big-Data”. The characteristics of the data includes, a. composition b. condition c. context d. all the above, 6. This feature of Hadoop we will discuss in detail in this tutorial. Apache Kafka is an open-source platform that was created by? The Big Data Analytics Online Quiz is presented Multiple Choice Questions by covering all the topics, where you will be given four options. Objective. A. a process to reject data from the data warehouse and to create the necessary indexes. 48. refers to trustworthiness of the data. This section focuses on "Big Data" in Hadoop. use. 7. deals with the nature of the data as it is static or real-time streaming. a.Internal data source b.External data source c.both a& b d.none, 22. 1. is the process of examining large and varied data sets. • Suitable for Big Data Analysis. Explanation: data in Peta bytes i.e. Better to remain within the on-premise environment in such cases. A. structured data Meta-Data Management – We have meta-data for the most important data we manage. Which of the following are Benefits of Big Data Processing? Hidden patterns & unknown correlations. You will have to read all the given answers and click over the correct answer. D. A sound Cutting’s laptop made during Hadoop development. 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 composition of the data deals with the, a. structure of data b. state of the data c. sensitivity of the data d.none. 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. 3. a. Velocity b. validity c. variance d. value, 50. 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 … C. a process to upgrade the quality of data after it is moved into a data warehouse. HBase Architecture. 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. This section focuses on "Big Data" in Hadoop. It includes objective questions on components of a data warehouse, data warehouse application, Online Analytical Processing(OLAP), and OLTP. Answer: Big data and Hadoop are almost synonyms terms. Multiple Choice Questions . 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. 1. Explanation: Data which can be saved in tables are structured data like the transaction data of the bank. B. Cuttings high school rock band The big data uses which type of data, 29. 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. Variety: If your data resides in many different formats, it has the variety associated with big data. a. Larry Page b. Doug Cutting c. Richard Stallman d. Alan Cox 2. 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 (D) All … 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. 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. type of data source? 1. Creator Doug Cutting’s favorite circus act 10. 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. Think about the number of people tha… C. YARN functions. b. Q1.Which is the process of examining large and varied data sets? In new implementations, the designers have the responsibility to map the deployment to the needs of the business based on costs and performance. Answer : a . 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. D. Apache Pytarch. Explanation: There are 3 v's of bigdata : Velocity, Variability, Variety and Volume. 26.In traditional Business Intelligence the data is analyzed in mode. 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. 6. Big Data technology uses parallel mass processing (MPP) concepts, 37. 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. ASP.Net programming languages include C#, F# and Visual Basic. (A) Big data management and data mining (B) Data … data that has the potential to be mined for information. c. Other useful information. Big Data Solved MCQ contain set of 10 MCQ questions for Big Data MCQ which will help you to clear beginner level quiz. Businesses can utilize outside intelligence while taking decisions A. Start studying Big Data - Fill-in, True/False & Multiple Choice Questions. Explanation: Apache Kafka is an open-source platform that was created by LinkedIn in the year 2011. First, big data can be an entirely new source of data. B. HDFS 46. refers to how accurate and correct the data is for its intended The framework can be used by professionals to analyze big data and help businesses to make decisions. Q2.Big Data is use to uncover? In how many forms BigData could be found? C. Both A and B Big Data Analytics (2180710) MCQ. 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 Big Data Fundamentals Chapter Exam Instructions. Artificial Intelligence. AI has been disrupting the insurance space in the ways that insurers handle claims processing, underwriting, and even customer service. Following quiz provides Multiple Choice Questions (MCQs) related to Hadoop Framework. Before you move on, you should also know that HBase is an important concept that … 4. With the rise of big data, Hadoop, a framework that specializes in big data operations also became popular. Explanation: All of the above are the main components of Big Data. 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. Improved customer service Big Data Solved MCQ. Explanation: Apache Pytarch is incorrect Big Data Technologies. Input to the _______ is the sorted output of the mappers. MCQ No - 1. Big data is an evolving term that describes any voluminous amount of. Data analytics is the framework for the organization’s data. Digital file system b. 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. According to analysts, for what can traditional IT systems provide a foundation when they’re integrated with big data technologies like Hadoop? Big data is difficult to move around and keeping it synced when uploading to the cloud poses many challenges. 36. So, the applicants need to check the below-given Big Data Analytics Questions and know the answers to all. 5. MCQs of INTRODUCTION TO BIG DATA. A. MapReduce The data which is residing outside an organization’s firewall are, a. This Big Data Analytics Online Test is helpful to learn the various questions and answers. 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. The 3Vs concept was introduced in the year, a. In addition, enterprises need to watch out for how data … Define Big Data and explain the Vs of Big Data. Choose your answers to the questions and click 'Next' to see the next set of questions. Internal data source b.External data source c.only a d.none. 21.The sensor data, Machine log data,social media data ,business app data ,media are of which Big Data MCQ Questions And Answers. Explanation: The overall percentage of the world’s total data has been created just within the past two years is 90%. Big Data metadata design tools can greatly help to visualize new data flows. As Big Data tends to be distributed and unstructured in nature, HADOOP clusters are best suited for analysis of Big Data. Could you pass this quiz? 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. The full form of OLAP is A) Online Analytical Processing Explanation: All of the above are Benefits of Big Data Processing. Cloud computing. There are some important ways that big data is different from traditional data sources. 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. B. a process to load the data in the data warehouse and to create the necessary indexes. B. Tell us how big data and Hadoop are related to each other. For example, most of us have 49. refers to the frequency of the incoming data that needs to be 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. Market trends & customer preferences. 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. a. What makes data big, fundamentally, is that we have far more opportunities to collect it, … 6. C. Google Dr.N.G.P. B. unstructured datat 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. A very efficient means for visualizing the instructions for Big Data and metadata handling is through utilization of a data … PG & Research department of Computer Science. a. 5. You will able to leverage your existing Oracle … 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. 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. Data in ___________ bytes size is called Big Data. standardized through the process of, a.Extraction,Transformation and Linking b. This minimizes network congestion and increases the overall throughput of the system. 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. 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. 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). a. b. C. Apache Kafka C. The toy elephant of Cutting’s son (A) Reducer. 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, 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. Since it is processing logic (not the actual data) that flows to the computing nodes, less network bandwidth is consumed. B. Apache Spark What are the main components of Big Data? 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. Explanation: Doug Cutting, Hadoop creator, named the framework after his child’s stuffed toy elephant. Internal data source b.External data source c.Both a& b d.none, 20. Next . 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. a. A. LinkedIn What do you know about data analytics? 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. 1. A. D. None of the above. (B) Mapper. 4. D. All of the above. 35.Big Data solutions carry the processing functions to the data, rather than the data to the Some Big Data metadata support considerations – BPEL, RDF and metadata repositories. 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! Big data that encompasses this info contains a major, formerly missing piece of the analytics puzzle. A. Apache Hadoop It helps organizations to regulate their data and utilize it to identify new opportunities. 1. C. Better operational efficiency The overall percentage of the world’s total data has been created just within the past two years is ? (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. D. a process to upgrade the quality of data before it is moved into a data warehouse. c. Machine learning. 1. Who created the popular Hadoop software framework for storage and processing of large datasets? Pioneers are finding all kinds of creative ways to use big data to their advantage. Explanation: BigData could be found in three forms: Structured, Unstructured and Semi-structured. Which of the following are incorrect Big Data Technologies? 1. processed. D. All of the above. a. Big data analytics. (C) Shuffle. unstructured for analysis using traditional database technology and techniques B. Facebook 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. This is one of the most introductory yet important Big Data interview questions. Big data analytics b.cloud computing c. machine learning d.none 2. 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. Now further moving ahead in our Hadoop Tutorial Series, I will explain you the data model of HBase and HBase Architecture. 8. 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. Learn vocabulary, terms, and more with flashcards, games, and other study tools. You can use Next Quiz button to check new set of questions in the quiz. 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. We will learn what is data locality in Hadoop, data locality definition, how Hadoop exploits Data Locality, what is th…

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