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Exam 6: Big Data and Analytics

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Question 31

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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

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Question 32

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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.

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Question 33

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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?

In the Big Data and Analytics in Politics case study,what was the analytic system output or goal?

All of the following statements about MapReduce are true EXCEPT

A job ________ is a node in a Hadoop cluster that initiates and coordinates MapReduce jobs,or the processing of the data.

Big Data uses commodity hardware,which is expensive,specialized hardware that is custom built for a client or application.

In the opening vignette,what is the source of the Big Data collected at the European Organization for Nuclear Research or CERN?

In the Dublin City Council case study,GPS data from the city's buses and CCTV were the only data sources for the Big Data GIS-based application.

In a Hadoop "stack," what is a slave node?

Hadoop is primarily a(n)________ file system and lacks capabilities we'd associate with a DBMS,such as indexing,random access to data,and support for SQL.

Despite their potential,many current NoSQL tools lack mature management and monitoring tools.

In most cases,Hadoop is used to replace data warehouses.

When considering Big Data projects and architecture,list and describe five challenges designers should be mindful of in order to make the journey to analytics competency less stressful.

A newly popular unit of data in the Big Data era is the petabyte (PB) ,which is

In the Discovery Health insurance case study,the analytics application used available data to help the company do all of the following EXCEPT

There is a current undersupply of data scientists for the Big Data market.

Why are some portions of tape backup workloads being redirected to Hadoop clusters today?

Traditional data warehouses have not been able to keep up with

As the size and the complexity of analytical systems increase,the need for more ________ analytical systems is also increasing to obtain the best performance.