DEPARTMENT OF INFORMATION TECHNOLOGY BIG DATA ANALYTICS QUESTION BANK EACH QUESTION CARRIES 1.5 MARKS Id 1 Question Facebook Tackles Big Data With based on Hadoop A Project Prism B Prism C Project Data D Project Bid Project Prism ... unit of data that flows through a Flume agent is . The Hadoop framework uses clusters and is made into several modules creating a large ecosystem of technologies. Dhruba Borthakur joined Facebook in 2008 to work on data infrastructure. The in-Hadoop engine is slow for smaller data sets but is the fastest and sometimes the only option when data sets are really big in terms of volume. Running what they believe is the world’s largest Hadoop-based collection of data, Facebook engineers have developed a way to circumnavigate … Facebook Tackles Big Data with _____ based on Hadoop. A. Log. A. At the time, Facebook was generating as much data Lets start with an example. Project Prism B. Prism C. Project Data D. Project Bid ANSWER: A 2. What license is Hadoop distributed under ? Facebook generates high volumes of data at a rapid pace. Row. Today, a combination of the two frameworks appears to be the best approach. a)Prism b) Project Prism c) Project Big d) Project data 7. Not every software is capable of handling such large data in one go. ... Facebook Tackles Big Data With _____ based on Hadoop . 1. ... Facebook Tackles really Big Data With _____ based on Hadoop. B. Facebook Tackles Big Data With based on Hadoop A. Finally, big data technology is changing at a rapid pace. One solution is to process big data in place, such as in a storage cluster doubling as a compute cluster. How Hadoop Solves the Big Data Problem. MCQ quiz on Big Data Hadoop MCQ multiple choice questions and answers, objective type question and answer on hadoop quiz questions with answers test pdf for competitive and entrance written exams for freshers and experience candidates in software and IT technology. The number of maps is usually driven by the total size of a) Task b) Output c) Input d) None 8. A few years ago, Apache Hadoop was the popular technology used to handle big data. a) Reducer b) Mapper c) Shuffle d) All above 2. His early projects at Facebook were around Hadoop, the distributed file system and MapReduce computation platform that laid the foundation for the “big data” movement. 9. B. 3. You have to select the right answer to every question. Big data usually includes data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage, and process data within a tolerable elapsed time. Input to the _____ is the sorted output of the mappers. However, Apache Hadoop, an open-source framework, has made its place in the tech world because it allows efficient handling of big data. Then Apache Spark was introduced in 2014. Big Data Analytics Multiple Choice Questions. What are the 3v's of Big Data? 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