Student Exam 1/16/12 9:14 AM Week 3 : Managing Assets and Resources in the Digital Firm - Homework Save Answers Submit for Grading 1. A speciality or peculiarity describing an existence is denominated a(n) (Points : 1) opportunity. tuple. key opportunity. manifestation.
2. The indistinctness constituted by _____ makes it up-hill for companies to constitute customer similarity superintendence, afford obligation superintendence, or deed systems that incorporate facts from contrariant sources. (Points : 1) batch courseing facts glomeration facts anarchy oncourse courseing
3. Duplicate facts in multiple facts refines is denominated (Points : 1) facts glomeration. ata swarming. facts anarchy. facts backups.
4. A DBMS (Points : 1) makes the natural factsbase adapted for contrariant close surveys. makes the close factsbase adapted for contrariant analytical surveys. makes the natural factsbase adapted for contrariant analytical surveys. makes the mental factsbase adapted for contrariant analytical surveys.
5. The close survey (Points : 1) shows how facts are unconfused and structured on the storage resources. presents an record mitigate to the user. allows the myth of supplementary reports. presents facts as they would be feeld by end users.
6.The kind of close factsbase copy that treats facts as if they were stored in two-dimensional consultations is the (Points : 1) OODBMS. pre-digital DBMS. mental DBMS. priestly DBMS.
7. A opportunity signed in a consultation as trade the choice identifier of the consultation's records is denominated the (Points : 1) leading key. key opportunity. http://takeexam. proximate. ecollege. com/(NEXT(f83986aacf))/Main/CourseM…703=rDEJX%252foi1wqaW6CBxURnSNa8tZLcim9DauNr3z3CFpI%253d& Page 1 of 3 Student Exam 1/16/12 9:14 AM leading opportunity. choice ID.
8. The facts glossary serves as an dignified facts superintendence machine by (Points : 1) ssigning manifestations to the facts. creating an register of facts contained in the factsbase. presenting facts as end users or matter specialists would feel them. maintaining facts in updated produce.
9. An automated or manual refine that stores notification environing facts elements and facts specialitys such as custom, natural representation, ownership, authorization, and assurance is the (Points : 1) facts glossary. facts limitation diagram. existence-similarity diagram. similarity glossary.
10. Which is the kind of factsbase superintendence vestibule that can wield a comprehensive compute of pages or documents? Points : 1) Priestly DBMS Mental DBMS Network DBMS NoSQL
11. Which is the most distinctive facts make discourse today? (Points : 1) Access DB2 SQL Crystal Reports
12. DBMSs typically embrace report-generating machines in ordain to (Points : 1) recaggravate and show facts. show facts in an easier-to-read produceat. show facts in graphs. perproduce premonitory partition.
13. A schematic of the whole factsbase that describes the similaritys in a factsbase is denominated (Points : 1) the facts glossary. the intersection similarity diagram. the existence-similarity diagram. the facts limitation diagram.
14. What is the course of streamlining facts to minimize glomeration and uncouth sundry-to-sundry similaritys? (Points : 1) Normalization Facts scrubbing Facts determine Facts defining http://takeexam. proximate. ecollege. com/(NEXT(f83986aacf))/Main/CourseM…703=rDEJX%252foi1wqaW6CBxURnSNa8tZLcim9DauNr3z3CFpI%253d& Page 2 of 3 Student Exam 1/16/12 9:14 AM
15. Cloud computing offers (Points : 1) no factsbase functions. some factsbase functions. products solely from Amazon and Microsoft. None of the above
16. A facts warehouse is victorious of (Points : 1) unromantic facts from impart systems. running facts. interior and superficial facts sources. istoric and running interior facts.
17. A facts mart usually can be manufactured more expeditiously and at inferior absorb than a facts warehouse accordingly (Points : 1) a facts mart typically focuses on a unmarried topic area or course of matter. all the notification is unromantic. a facts mart requires a Web interface. all of the notification belongs to a unmarried aggregation.
18. Facts mining is a machine that allows users to (Points : 1) straightly assimilate affair facts gathered aggravate sundry years. meet unrecognized similaritys in facts. earn oncourse answers to ad hoc questions in a swift aggregate of age. digest mighty aggregates of facts into plenteous smaller, transmitted reports.
19. What is the machine that enables users to survey the selfselfsame facts in contrariant ways using multiple tome? (Points : 1) Premonitory partition SQL OLAP Facts mining 20. OLAP is a machine that enables (Points : 1) users to earn oncourse answers to ad hoc questions in a concise aggregate of age. users to survey twain close and natural surveys of facts. programmers to straightly diagram facts similaritys. programmers to normalize facts. Save Answers Submit for Grading http://takeexam. proximate. ecollege. com/(NEXT(f83986aacf))/Main/CourseM…703=rDEJX%252foi1wqaW6CBxURnSNa8tZLcim9DauNr3z3CFpI%253d& Page 3 of 3