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In an unsupervised data mining technique, analysts do not create a model or hypothesis before running the analysis.

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Which of the following observations about RFM and OLAP reports is true?


A) RFM reports are more generic than OLAP reports.
B) OLAP reports are more dynamic than RFM reports.
C) RFM reports have measures and dimensions.
D) RFM reports can drill down into the data to a greater extent than OLAP reports.

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Which of the following terms is used as a synonym for data mining?


A) regression analysis
B) data warehousing
C) knowledge discovery in databases (KDD)
D) parallel processing in databases (PPD)

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A ________ is a hierarchical arrangement of criteria that predict a classification or a value.


A) value chain
B) cluster analysis
C) decision tree
D) neural network

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Neural networks are popular unsupervised data mining techniques used to predict values and make classifications.

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A business intelligence (BI)server extends alert/RSS functionality to support user subscriptions.

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What are MapReduce and Hadoop?

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MapReduce is a technique for harnessing ...

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Regression analysis measures the effect of a set of variables on another variable.

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In marketing transactions, the fact that customers who buy product X also buy product Y creates a ________ opportunity. That is, "If they're buying X, sell them Y" or "If they're buying Y, sell them X."


A) cross-selling
B) value added selling
C) break-even
D) double-sales

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In ________, statistical techniques can identify groups of entities that have similar characteristics.


A) regression analysis
B) cluster analysis
C) supervised data mining
D) neural networks

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________ is the process of creating value from intellectual capital and sharing that knowledge with employees, managers, suppliers, customers, and others who need it.


A) Intellectual property protection
B) Knowledge management
C) Business process reengineering
D) Repository management

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________ is the application of social media and related applications for the management and delivery of organizational knowledge resources.


A) Business intelligence server management
B) Hyper-social knowledge management
C) Knowledge management protocol
D) Online analytical processing

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Which of the following statements is true about data marts?


A) A data mart is like a distributor in a supply chain, while a data warehouse can be compared to a retail store.
B) Data mart users possess the data management expertise that data warehouse employees have.
C) Data marts address the needs of a particular department or functional area of a business.
D) Data marts are larger than data warehouses.

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Knowledge management (KM) benefits organizations because it ________.


A) allows distributors to work within the company premises
B) allows suppliers to work according to the organizational policies
C) enables employees to solve problems and rectify mistakes later
D) improves process quality and increases team strength

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In ________, data miners develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model.


A) cluster analysis
B) unsupervised data mining
C) supervised data mining
D) click streaming

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Ajax Inc. is one of the customers of a well-known linen manufacturing company. Ajax has not ordered linen in some time, but when it did order in the past it ordered frequently, and its orders were of the highest monetary value. Under the given circumstances, Ajax is most likely to have an RFM score of ________.


A) 155
B) 511
C) 555
D) 151

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The remarkable characteristic of OLAP reports is that they are ________, as they are online and the viewer of the report can change their format.


A) accurate
B) informal
C) specific
D) dynamic

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OLAP provides the ability to sum, count, average, and perform other simple arithmetic operations on groups of data.

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Which of the following phenomena states that the more attributes there are, the easier it is to build a model that fits the sample data?


A) attribute paradox
B) curse of dimensionality
C) uncertainty principle
D) economies of scale

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A data ________ is a data collection, smaller than the data warehouse that addresses the needs of a particular department or functional area of the business.


A) mart
B) mine
C) cube
D) model

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