MIS 330 ch. 9

______ is characterized by huge volume, rapid velocity, and great variety a. hadoop b. BigData c. Pig d. MapReduce

BigData

Which of the following is NOT a characteristic of BigData? a. BigData has structured data, free-form text, log files, possibly graphics, audio and video b. BigData is a technique for harnessing the power of thousands of computers working in parallel c. BigData is generated rapidly d. BigData data sets are at least a petabyte in size, and usually larger

BigData is a technique for harnessing the power of thousands of computers working in parallel

Which of the following is an open-source program that implements MadReduce? a. Pig b. Apache Foundation c. Hadoop d. BigData

Hadoop

What is reporting application? a. provides the ability to sum, count, average, and perform other simple arithmetic operations on groups of data b. inputs data from one or more sources and applies reporting operations to that data to produce business intelligence c. the application of statistical techniques to find patterns and relationships among data for classification and prediction d. analyzes and ranks customers according to their purchasing patterns

Inputs data from one or more sources and applies reporting operations to that data to produce business intelligence

Which of the following is used for multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions? a. OLTP b. data mining c. batch processing d. OLAP

OLAP

Which of the following best describes online analytical processing (OLAP)? a. OLAP is the application of statistical techniques to find patterns and relationships among data and to classify and predict b. OLAP is the process of sequentially executing operations on each record in a large batch c. OLAP is used to run a business in real-time and is designed to handle multiple concurrent transactions from customers d. OLAP is used for multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions

OLAP is used for multidimensional data analysis, enabling users to view the same data in different ways using multiple dimensions

Unsupervised data mining includes ______ a. marketing experts in a communications company who believe that cell phone usage on weekends is determined by the age of the customer and the number of months the customer has had the cell phone account b. neural networks that are a popular characteristic used to predict values and make classifications such as "good prospect" or "poor prospect" customers c. data miners who develop a model prior to the analysis and apply statistical techniques to data to estimate parameters of the model d. analysts who do not create a model of hypothesis before running the analysis

analysts who do not create a model of hypothesis before running the analysis

Which of the following is a conditional probability estimate? a. decision tree b. lift c. neural network d. confidence

confidence

______ is a conditional probability estimate a. a decision tree b. a neural network c. lift d. confidence

confidence

Which of the following is a result of a market-basket analysis, where customers who buy product X also buy product Y? a. confidence b. regression analysis c. lift d. cross-selling

cross-selling

If something is stored in the human mind, it is (or can be) information. If something is on a piece of paper or on a screen, it's _____ a. neural networks b. data c. data warehouses d. unsupervised data mining

data

_____ is the first step in the development of a data warehouse a. transforming and cleansing the data b. loading the data into the data warehouse c. extracting data from databases d. optimizing the warehouse for complex reporting

extracting data from databases

Which of the following is true of static reports? a. publishing static reports requires the publisher to set up database access when documents are consumed b. in the BI context, most static reports are published as PDF documents c. static reports are updated at the time that they are requested d. publishing static reports is more difficult than publishing dynamic reports

in the BI context, most static reports are published as PDF documents

When unsupervised data mining is truly unsupervised, machines will process and create _____ for themselves a. data b. data warehouses c. information d. neural networks

information

A hyper-social company uses _______ to create value from intellectual capital a. an expert system b. a content management system c. data warehouses d. knowledge management

knowledge management

_____ is the process of creating value from intellectual capital and sharing knowledge with employees, managers, suppliers, customers, and others who need that capital a. BigData b. an expert system c. knowledge management d. MapReduce

knowledge management

What is business intelligence? a. information system that process operational, social, and other data to identify patterns, relationships, and trends for use by business professionals and other knowledge workers b. patterns, relationships, trends, and predictions c. obtains, stores and manages data d. the software component of a BI system

patterns, relationships, trends, and predictions

Which of the following is a business intelligence task? a. planning b. designing c. organizing d. problem solving

problem solving

Static reports differ from dynamic reports in that ______ a. static reports are BI documents that are fixed at the time of creation and do not change b. the skills required to create static reports are higher, and publishing static BI is more difficult c. static reports are BI documents that are updated at the time they are requested d. publishing a static report requires the BI application to access a database at the time the report is delivered to the user

static reports are BI documents that are fixed at the time of creation and do not change

Which of the following is NOY a function of data warehouse? a. cataloging data b. cleansing data c. storing data d. obtaining data

storing data

For which of the following do 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. regression analysis c. supervised data mining d. unsupervised data mining

supervised data mining

With _______, data miners develop a model prior to the analysis and apply statistical techniques to data estimate parameters of the model a. supervised data mining b. data mining c. cluster analysis d. unsupervised data mining

supervised data mining

Which of the following describes data acquisition? a. the process of obtaining, cleaning, organizing, relating, and cataloging source data b. the process of using a computer to record data through sensors c. the unintended release of protected information through the release of a combination of reports or documents that are independently not protected d. an important preparatory step to running data mining algorithms which reduces the complexity of the data to be analyzed

the process of obtaining, cleaning, organizing, relating and cataloging source data