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bgarlipp bgarlipp
wrote...
Posts: 512
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6 years ago
Harry, an employee of Bennett-Techno Inc, is responsible for ensuring that the technological setup in the organization supports the organization goals. He is also responsible for setting the organization goals.
 
  Which of the following positions does Harry hold in the organization?A) Human Resource Director
  B) Chief Executive Officer
  C) Vice President of Sales
  D) Chief Information Officer

 Q. 2

________, one of the more well-known versions of SAP, was the first truly integrated system that was able to support most of an organization's major operational processes.
 
  A) R/3
  B) NetWeaver
  C) ABAP
  D) NetSuite

 Q. 3

Workforce management modules draw on the information stored in sales records that shows when peak demand occurs.
 
  Indicate whether the statement is true or false

 Q. 4

Describe the MapReduce technique.
 
  What will be an ideal response?

 Q. 5

Which of the following statements is true about SAP and its enterprise resource planning products?
 
  A) SAP has made a rapid move to thin-client, cloud-based solutions.
  B) SAP addresses the needs of only small and mid-sized organizations.
  C) SAP provides industry-specific platforms that are configured to a particular company.
  D) SAP has overcome its dependence on client-server architecture.

 Q. 6

Which of the following statements is true of the IT department areas?
 
  A) The help desk department maintains the environmentally controlled areas in which servers and communications equipment are located.
  B) The systems administration department installs, manages, and updates servers.
  C) The enterprise systems and applications department handles backups and archiving.
  D) The operations department provides services to internal and external customers on technology issues.
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3 Replies

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Replies
wrote...
6 years ago
Ans. to #1

D

Ans. to #2

A

Ans. to #3

TRUE

Ans. to #4

Because Big Data is huge, fast, and varied, it cannot be processed using traditional techniques. MapReduce is a technique for harnessing the power of thousands of computers working in parallel. The basic idea is that the Big Data collection is broken into pieces, and hundreds or thousands of independent processors search these pieces for something of interest. That process is referred to as the Map phase. For example, a dataset having the logs of Google searches is broken into pieces, and each independent processor is instructed to search for and count search keywords. As the processors finish, their results are combined in what is referred to as the Reduce phase. The result is a list of all the terms searched for on a given day and the count of each.

Ans. to #5

C

Ans. to #6

B
bgarlipp Author
wrote...
6 years ago
All correct!
wrote...
6 years ago
Happy to help
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