= Untitled document - Google X Course: MGT-325-Z2 Mana: X Cengage Learning Cengage Learning MindTap - Cengage Learning X L 2. The fact that big data comes in many formats and may be structured or unstructured is an indicator of its | L =] 3. Choosing what data to store and where and how to store the data are two key challenges associated with big data. True or False? O a.True O b.False '\\ 4. is not a key challenge associated with big data. (O a. How to derive value from the relevant data s' O b. Which format the data should be stored in O c. How to identify which data needs to be protected from unauthorized access i (O d. How to find those nuggets of data that are relevant to the decision making at hand 0 A number of available tools and technologies allow organizations to take advantage of the opportunities offered by big data. 5.A is a large database that holds business information from many sources in the enterprise, covering all aspects of the company's processes, products, and customers. O a.relational database O b. data lake O c. datawarehouse O d.NoSQL database 6. The goal of the step of the ETL process is to take the source data from all the various sources and convert it into a single format suitable for Untitled document - Google [ x m Course: MGT-325-Z2 Manag X Cengage Learning Cengage Learning X MindTap - Cengage Learning X + C 20 ng.cengage.com/staticb/ui/evo/index.html?eISBN=9780357112427&id=2053961078&snapshotld=3914691& CENGAGE |MINDTAP Q Search this course ? Module 6 Quiz X 6. The goal of the step of the ETL process is to take the source data from all the various sources and convert it into a single format suitable for processing. 7. A database enables hundreds or even thousands of servers to operate on the data, providing faster response times for queries and updates. san E O a. NoSQL O b. normalized A-Z O c. SQL EI O d. relational 8. A differs from a in that it provides a means to store and retrieve data that is modelled using some means other than the simple two- dimensional tabular relations. a. data mart and NoSQL database O b. data mart and data warehouse c. NOSQL database and relational database bongo O d. data warehouse and data lake 9. The component of the Hadoop environment is composed of a Procedure that performs filtering and sorting and a method that performs a summary operation. O a. ETL ? O b. Map/Reduce program O c. JobTracker O d. Hadoop Distributed File System 10. The primary advantage associated with the use of an in-memory database to process big data is that O a. it is much cheaper than secondary storage O b. it provides access to data at rates much faster than storing data on some form of secondary storage O c. it enables the storage of much larger amounts of data O d. it enables the use of Hadoop procedures to process the dataUntitled document - Google [ x Course: MGT-325-Z2 Manag X Cengage Learning Cengage Learning X MindTap - Cengage Learning X + C 20 ng.cengage.com/staticb/ui/evo/index.html?eISBN=9780357112427&id=2053961078&snapshotld=3914691& CENGAGE | MINDTAP Q Search this course ? Module 6 Quiz X 10. The primary advantage associated with the use of an in-memory database to process big data is that O a. it is much cheaper than secondary storage b. it provides access to data at rates much faster than storing data on some form of secondary storage c. it enables the storage of much larger amounts of data san E O d. it enables the use of Hadoop procedures to process the data A-Z There are many business intelligence (BI) and analytics techniques that can be used to support improved decision making. EI 11. The primary difference between business intelligence and analytics is that a. BI is used to analyze historical data to tell what happened or is happening right now in your business while analytics employs algorithms to determine relationships among data to develop predictions of what will happen in the future. b. analytics employs techniques like optimization, predictive analysis, and simulation while BI employs descriptive analysis and text and visual analysis. c. a data scientist is required to properly employ analytics while an end user working with a database administrator can employ BI. d. organizations used to employ BI but now are moving to greater use of analytics. bongo 12. An individual who combines strong business acumen, a deep understanding of analytics, and a healthy appreciation of the limitations of their data, tools, and techniques to deliver real improvements in decision making is a(n) a. systems analyst O b. database administrator ? O c. data scientist O d. data steward 13. The five broad categories of BI/analytics techniques include O a. heuristics, predictive analytics, simulation, data mining, and linear programming O b. optimization, descriptive analytics, and text and video analysis, simulation, and predictive analytics c. regression analysis, data mining, Monte Carlo simulation, optimization, and time series analysis d. predictive analysis, scenario analysis, image analysis, optimization, and regression analysis 14. Two specific BI/analytics techniques that are in the general category of descriptive analytics are.Untitled document - Google [ X Course: MGT-325-Z2 Manag X Cengage Learning Cengage Learning X MindTap - Cengage Learning X + C 20 ng.cengage.com/staticb/ui/evo/index.html?eISBN=9780357112427&id=2053961078&snapshotld=3914691& CENGAGE | MINDTAP Q Search this course ? Module 6 Quiz X 14. Two specific BI/analytics techniques that are in the general category of descriptive analytics are. a. data mining and linear programming b. scenario analysis and time series analysis c. regression analysis and visual analytics san E d. Monte Carlo simulation and genetic algorithm A-Z 15. Data mining and time series belong in the general category of_ of BI/analytics. EI O a. predictive analytics O b. heuristics O c. scenario analysis d. optimization 1 5 16. Genetic algorithm and linear programming belong in the. general category of BI/analytics. a. optimization bongo b. scenario analysis c. heuristics O d. predictive analytics ? 17. While there are three key components that must be in place for an organization to get real value from its BI and analytics efforts, the one that is first and foremost is the existence of a solid data management program. True or False? O a. True O b. False 18. Encouragement of self-service analytics almost assuredly will eliminate the risk of erroneous analysis and reporting and the problem of different analyses yielding inconsistent conclusions. True or False? O a. True O b. FalseUntitled document - Google [ X Course: MGT-325-Z2 Manag X Cengage Learning Cengage Learning X MindTap - Cengage Learning X + C 20 ng.cengage.com/staticb/ui/evo/index.html?eISBN=9780357112427&id=2053961078&snapshotld=3914691& CENGAGE |MINDTAP Q Search this course ? Module 6 Quiz X c. heuristics O d. predictive analytics 17. While there are three key components that must be in place for an organization to get real value from its BI and analytics efforts, the one that is first and foremost is the san E existence of a solid data management program. True or False? O a. True A-Z O b. False EI 18. Encouragement of self-service analytics almost assuredly will eliminate the risk of erroneous analysis and reporting and the problem of different analyses yielding inconsistent conclusions. True or False? O a. True O b. False 19. Which of the following is not a disadvantage of self-service analytics? bongo a. It raises the potential for erroneous analysis. O b. It can lead to analyses with inconsistent conclusions. O c. It can cause over spending on unapproved data sources and analytics tools. ? O d. It places valuable data in the hands of end users. Check My Work O- Icon Key re05pi14h.M6 ues Save Submit Assignment for