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intro to data analytics (1
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intro to data analytics (1
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intro to data analyticsBusiness applications have moved from transaction processing and monitoring to other
activities. Which of the following is NOT one of those activities?
a.
mobile access
b.
problem analysis
c.
solution applications
d.
data monitoring - ANS-d
Managing information on operations, customers, internal procedures and employee interactions
is the domain of cognitive science. (T or F) - ANS-False
What type of analytics seeks to recognize what is going on as well as the likely forecast and
make decisions to achieve the best performance possible?
a.
predictive
b.
domain
c.
prescriptive
d.
descriptive - ANS-Prescriptive
Due to industry consolidation, the analytics ecosystem consists of only a handful of players
across several functional areas (T or F) - ANS-False
Which of the following statements about Big Data is true?
a.
Data chunks are stored in different locations on one computer.
b.
MapReduce is a storage filing system.
c.
Pure Big Data systems do not involve fault tolerance
d.
Hadoop is a type of processor used to process Big Data applications - ANS-c
Online transaction processing (OLTP) systems handle a company's routine ongoing business. In
contrast, a data warehouse is typically
, a.
a repository of actionable intelligence obtained from a data mart.
b.
an integral subsystem of an online analytical processing (OLAP) system.
c.
the end result of BI processes and operations.
d.
a distinct system that provides storage for data that will be made use of in analysis. - ANS-d
What has caused the growth of the demand for instant, on-demand access to dispersed
information?
Select one:
a.
the increasing divide between users who focus on the strategic level and those who are more
oriented to the tactical level
b.
the more pressing need to close the gap between the operational data and strategic objectives
c.
the fact that BI cannot simply be a technical exercise for the information systems department
d.
the need to create a database infrastructure that is always online and contains all the
information from the OLTP systems - ANS-b
The use of statistics in baseball by the Oakland Athletics, as described in the Moneyball case
study, is an example of the effectiveness of prescriptive analytics. (T or F) - ANS-True
The very design that makes an OLTP system efficient for transaction processing makes it
inefficient for
a.
end-user ad hoc reports, queries, and analysis.
b.
transaction processing systems that constantly update operational databases.
c.
transactions such as ATM withdrawals, where we need to reduce a bank balance accordingly.
d.
the collection of reputable sources of intelligence. - ANS-a
In the Opening Vignette on Sports Analytics, what type of modeling was used to predict
offensive tactics?
a.
sentiment analysis
b.
heuristics
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