26) Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near-real time with highly accurate insights. What is this process called? A)in-memory analytics B)in-database analytics C) grid computing D)applia AnswerA Diff: 2 Page Ref: 380 27)Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources? A)in-memory analytics B)in-database analytics C)grid computing D)appliances Answer: C Diff: 2 Page Ref: 380 28) How does Hadoop work? A)It integrates Big Data into a whole so large data elements can be processed as a whole on one B)It integrates Big Data into a whole so large data elements can be processed as a whole on multiple cor C)It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer D) It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers Answer: D Diff: 3 Page Ref: 386 29)What is the Hadoop Distributed File System(hDFS)designed to handle? A)unstructured and semistructured relational data B)unstructured and semistructured non-relational data C)structured and semistructured relational data D)structured and semistructured non-relational data Answer: B Diff: 2 Page Ref: 385 30)In a Hadoop"stack, what is a slave node? A)a node where bits of programs are stored B)a node where metadata is stored and used to organize data processing C)a node where data is stored and processed D)a node responsible for holding all the source programs Answer: C Diff: 2 Page Ref: 386 Copyright C 2018 Pearson Education, Inc4 Copyright © 2018 Pearson Education, Inc. 26) Allowing Big Data to be processed in memory and distributed across a dedicated set of nodes can solve complex problems in near–real time with highly accurate insights. What is this process called? A) in-memory analytics B) in-database analytics C) grid computing D) appliances Answer: A Diff: 2 Page Ref: 380 27) Which Big Data approach promotes efficiency, lower cost, and better performance by processing jobs in a shared, centrally managed pool of IT resources? A) in-memory analytics B) in-database analytics C) grid computing D) appliances Answer: C Diff: 2 Page Ref: 380 28) How does Hadoop work? A) It integrates Big Data into a whole so large data elements can be processed as a whole on one computer. B) It integrates Big Data into a whole so large data elements can be processed as a whole on multiple computers. C) It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on one computer. D) It breaks up Big Data into multiple parts so each part can be processed and analyzed at the same time on multiple computers. Answer: D Diff: 3 Page Ref: 386 29) What is the Hadoop Distributed File System (HDFS) designed to handle? A) unstructured and semistructured relational data B) unstructured and semistructured non-relational data C) structured and semistructured relational data D) structured and semistructured non-relational data Answer: B Diff: 2 Page Ref: 385 30) In a Hadoop "stack," what is a slave node? A) a node where bits of programs are stored B) a node where metadata is stored and used to organize data processing C) a node where data is stored and processed D) a node responsible for holding all the source programs Answer: C Diff: 2 Page Ref: 386