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A1 B2 C4 A3G3 A8 G6 I3 B1 A6 B4 B3 B6 F8 I6 B7 C1 C2 H7 H4 A5 G7 C6 C7 H2D2 D4G4 D5 F2 D8 D7 E1 F5 E4 E3 H5 E6 I7E7 F1 D6 F4 F3 E2 I5 F6 F7 G1 G2 D3 C5G5.

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Presentation on theme: "A1 B2 C4 A3G3 A8 G6 I3 B1 A6 B4 B3 B6 F8 I6 B7 C1 C2 H7 H4 A5 G7 C6 C7 H2D2 D4G4 D5 F2 D8 D7 E1 F5 E4 E3 H5 E6 I7E7 F1 D6 F4 F3 E2 I5 F6 F7 G1 G2 D3 C5G5."— Presentation transcript:

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2 A1 B2 C4 A3G3 A8 G6 I3 B1 A6 B4 B3 B6 F8 I6 B7 C1 C2 H7 H4 A5 G7 C6 C7 H2D2 D4G4 D5 F2 D8 D7 E1 F5 E4 E3 H5 E6 I7E7 F1 D6 F4 F3 E2 I5 F6 F7 G1 G2 D3 C5G5 A4 G8C8 H1 I2 I4 H3 B8 H6 H8 E5 I1D1 B5 A2 C3 A7 I8E8 The Game Board!

3  Web mining is the discovery of useful patterns on the Web. A. True True B. False False

4  A grouping of characters into a word, a group of words, or a complete number is called a record. A. TRUE TRUE B. FALSE FALSE

5  Every record in a file should contain at least one key field. A. TRUE TRUE B. FALSE FALSE

6  Both Oracle and Microsoft Access use SQL to retrieve information from the database. A. TRUE TRUE B. FALSE FALSE

7  Both Oracle and Microsoft Access use SQL to retrieve information from the database. A. TRUE TRUE B. FALSE FALSE

8  Most back-end databases are able to interpret HTML commands. A. TRUE TRUE B. FALSE FALSE

9  Hadoop can process large quantities of any type of data, including video and Twitter feeds.  TRUE TRUE  FALSE FALSE

10  The two key services of Hadoop are HDFS and in-memory computing. A. TRUE TRUE B. FALSE FALSE

11  A data warehouse may include information from legacy systems. A. TRUE TRUE B. FALSE FALSE

12  A data warehouse is typically comprised of several smaller data marts. A. TRUE TRUE B. FALSE FALSE

13  OLAP is a key tool of BI. A. TRUE TRUE B. FALSE FALSE

14  OLAP is used to find hidden patterns and relationships in large databases, and infer rules from these to infer future behavior. A. TRUE TRUE B. FALSE FALSE

15  A foreign key is a field that links to a separate table. A. TRUE TRUE B. FALSE FALSE

16  MongoDB and SimpleDB are both examples of: A. Open-source databases. Open-source databases. B. SQL databases. SQL databases. C. NoSQL databases. NoSQL databases. D. Cloud databases. Cloud databases.

17  An example of a pre-digital database is a: A. library's card-catalog. library's card-catalog. B. cash register receipt. cash register receipt. C. doctor's office invoice. doctor's office invoice. D. list of sales totals on a spreadsheet. list of sales totals on a spreadsheet.

18  What is the first step you should take in managing data for a firm? A. Identify the data needed to run the business Identify the data needed to run the business B. Cleanse the data before importing it to any database Cleanse the data before importing it to any database C. Normalize the data before importing to a database Normalize the data before importing to a database D. Audit your data quality Audit your data quality

19  Which of the following best illustrates the relationship between entities and attributes? A. The entity CUSTOMER with the attribute PRODUCT The entity CUSTOMER with the attribute PRODUCT B. The entity CUSTOMER with the attribute ADDRESS The entity CUSTOMER with the attribute ADDRESS C. The entity PRODUCT with the attribute PURCHASE The entity PRODUCT with the attribute PURCHASE D. The entity PRODUCT with the attribute CUSTOMER The entity PRODUCT with the attribute CUSTOMER

20  The type of logical database model that treats data as if they were stored in two-dimensional tables is the: A. two-tiered DBMS. two-tiered DBMS. B. pre-digital DBMS. pre-digital DBMS. C. relational DBMS. relational DBMS. D. hierarchical DBMS. hierarchical DBMS.

21  What are the relationships that the relational database is named for? A. Relationships between rows and columns Relationships between rows and columns B. Relationships between entities Relationships between entities C. Relationships between fields and records Relationships between fields and records D. Relationships between databases Relationships between databases

22  A characteristic or quality describing an entity is called a: A. field. field. B. tuple. tuple. C. key field. key field. D. attribute. attribute.

23  The most basic business database is comprised of: A. three tables: for suppliers, parts, and sales. three tables: for suppliers, parts, and sales B. four tables: for customers, suppliers, parts, and sales. four tables: for customers, suppliers, parts, and sales. C. four tables: for customers, suppliers, sales, and employees. four tables: for customers, suppliers, sales, and employees. D. five tables: for customers, employees, suppliers, parts, and sales. five tables: for customers, employees, suppliers, parts, and sales.

24  In a table for customers, the information about a single customer would reside in a single: A. field. field. B. row. row. C. column. column. D. table. table.

25  In a relational database, a record is also called a: A. tuple. tuple. B. row. row. C. entity. entity. D. field. field.

26  A field identified in a table as holding the unique identifier of the table's records is called the: A. primary key. primary key. B. key field. key field. C. primary field. primary field. D. foreign key. foreign key.

27  A field identified in a record as holding the unique identifier for that record is called the: A. primary key. primary key. B. key field. key field. C. primary field. primary field. D. foreign key. foreign key.

28  In a bus network: A. signals are broadcast to the next station. signals are broadcast to the next station. B. signals are broadcast in both directions to the entire network. signals are broadcast in both directions to the entire network C. multiple hubs are organized in a hierarchy. multiple hubs are organized in a hierarchy. D. messages pass from computer to computer in a loop. messages pass from computer to computer in a loop

29  A schematic of the entire database that describes the relationships in a database is called a: A. data dictionary. data dictionary. B. intersection relationship diagram. intersection relationship diagram. C. entity-relationship diagram. entity-relationship diagram. D. data definition diagram. data definition diagram.

30  A table that links two tables that have a many-to-many relationship is often called a: A. derived table. derived table. B. intersection relation. intersection relation. C. foreign table. foreign table. D. entity-relationship table. entity-relationship table.

31  The process of streamlining data to minimize redundancy and awkward many-to-many relationships is called: A. normalization. normalization. B. data scrubbing. data scrubbing. C. data cleansing. data cleansing. D. data administration. data administration.

32  A DBMS makes the: A. physical database available for different logical views. physical database available for different logical views. B. logical database available for different analytical views. logical database available for different analytical views. C. physical database available for different relational views. physical database available for different relational views. D. relational database available for different physical views. relational database available for different physical views.

33  The logical view of a database: A. shows how data are organized and structured on the storage media. shows how data are organized and structured on the storage media. B. presents an entry screen to the user. presents an entry screen to the user. C. allows the creation of supplementary reports. allows the creation of supplementary reports. D. presents data as they would be perceived by end users. presents data as they would be perceived by end users.

34  Which of the following is not a typical feature of DBMS? A. Data manipulation language Data manipulation language B. Report generation tools Report generation tools C. Data dictionary Data dictionary D. Query wizard tool Query wizard tool

35  Access is a: A. DBMS for small handheld computing devices. DBMS for small handheld computing devices. B. popular open-source DBMS. popular open-source DBMS. C. DBMS for midrange computers. DBMS for midrange computers. D. DBMS for desktop PC systems. DBMS for desktop PC systems.

36  In clustering, a data mining tool will: A. find new groupings within data. find new groupings within data. B. find related predictions from existing values. find related predictions from existing values. C. find several events grouped by time. find several events grouped by time. D. find new associations. find new associations.

37  MySQL is a: A. DBMS for small handheld computing devices. DBMS for small handheld computing devices. B. popular open-source DBMS. popular open-source DBMS. C. mainframe relational DBMS. mainframe relational DBMS. D. DBMS for desktop systems. DBMS for desktop systems.

38  Data mining is more ___________ than OLAP. A. data focused data focused B. multidimensional multidimensional C. query oriented query oriented D. discovery driven discovery driven

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43  In a relational database, the three basic operations used to develop useful sets of data are: A. select, project, and where. select, project, and where. B. select, join, and where. select, join, and where. C. select, project, and join. select, project, and join. D. select, from, and join. select, from, and join.

44  The select operation: A. combines relational tables to provide the user with more information than is otherwise available. combines relational tables to provide the user with more information than is otherwise available. B. creates a subset consisting of columns in a table. creates a subset consisting of columns in a table. C. identifies the table from which the columns will be selected. identifies the table from which the columns will be selected. D. creates a subset consisting of all records in the file that meet stated criteria. creates a subset consisting of all records in the file that meet stated criteria.

45  All of the following are tools or technologies for extracting information from unstructured data sets except: A. sentiment analysis software. sentiment analysis software. B. SQL queries. SQL queries. C. Hadoop. Hadoop. D. Non-relational DBMS. Non-relational DBMS.

46  The project operation: A. combines relational tables to provide the user with more information than is otherwise available. combines relational tables to provide the user with more information than is otherwise available. B. creates a subset consisting of columns in a table. creates a subset consisting of columns in a table. C. organizes elements into segments. organizes elements into segments. D. identifies the table from which the columns will be selected. identifies the table from which the columns will be selected.

47  Which of the following best describes the importance of creating an accurate data model for your business's database? A. It is not essential, as the data model itself is modified by the database continuously. It is not essential, as the data model itself is modified by the database continuously. B. Critical, as without one, your data may be inaccurate, incomplete, or difficult to retrieve Critical, as without one, your data may be inaccurate, incomplete, or difficult to retrieve C. Essential, as table relationships cannot be created without an accurate data model Essential, as table relationships cannot be created without an accurate data model D. Somewhat important, as the type of data model will define what kinds of data will be stored Somewhat important, as the type of data model will define what kinds of data will be stored

48  An automated or manual file that stores information about data elements and data characteristics such as usage, physical representation, ownership, authorization, and security is the: A. data dictionary. data dictionary. B. data definition diagram. data definition diagram. C. entity-relationship diagram. entity-relationship diagram. D. relationship dictionary. relationship dictionary.

49  You are working in the IT department of a small paper supply company and planning a new database that monitors employee benefits and productivity. What would be the relationship you need to establish between Employee_ID in the Employee table and Parking_spot_number in the Perks table? A. one-to-many one-to-many B. one-to-one one-to-one C. many-to-many many-to-many D. many-to-one many-to-one

50  The most prominent data manipulation language today is: A. Access. Access. B. DB2. DB2. C. SQL. SQL. D. Crystal Reports. Crystal Reports.

51  DBMS typically include report-generating tools in order to: A. retrieve and display data. retrieve and display data. B. display data in an easier-to-read format. display data in an easier-to-read format. C. display data in graphs. display data in graphs. D. perform predictive analysis. perform predictive analysis.

52  What is the purpose of a DBMS's data definition function? A. Storing and managing the data in the database Storing and managing the data in the database B. Storing definitions of data elements Storing definitions of data elements C. Normalizing the database Normalizing the database D. Structuring the database Structuring the database

53  Which of the following database types would be best suited for storing multimedia? A. SQL DBMS SQL DBMS B. Open-source DBMS Open-source DBMS C. Non-relational DBMS Non-relational DBMS D. Cloud-based database Cloud-based database

54  Pre-configured hardware-software systems that use both relational and non-relational technology optimized for analyzing large datasets are referred to as: A. Hybrid DBMS. Hybrid DBMS. B. Hadoop. Hadoop. C. BI. BI. D. Analytic platforms. Analytic platforms.

55  Which of the following statements about data warehouses is not true? A. They store supply data to be used across the enterprise for management analysis and decision making. They store supply data to be used across the enterprise for management analysis and decision making. B. Data warehouse systems provide a range of ad hoc and standardized query tools, analytical tools, and graphical reporting facilities. Data warehouse systems provide a range of ad hoc and standardized query tools, analytical tools, and graphical reporting facilities. C. They may include data from Web site transactions. They may include data from Web site transactions. D. Data warehouse systems provide easy-to-use tools for managers to easily update data. Data warehouse systems provide easy-to-use tools for managers to easily update data.

56  A data mart usually can be constructed more rapidly and at lower cost than a data warehouse because: A. it typically focuses on a single subject area or line of business. it typically focuses on a single subject area or line of business. B. all the information is historical. all the information is historical. C. it uses a Web interface. it uses a Web interface. D. all of the information belongs to a single company. all of the information belongs to a single company.

57  Tools for consolidating, analyzing, and providing access to vast amounts of data to help users make better business decisions are known as: A. DSS. DSS. B. business intelligence. business intelligence. C. OLAP. OLAP. D. data mining. data mining.

58  The tool that enables users to view the same data in different ways using multiple dimensions is: A. Hadoop. Hadoop. B. SQL. SQL. C. OLAP. OLAP. D. data mining. data mining.

59  OLAP is a tool for enabling: A. users to obtain online answers to ad hoc questions in a rapid amount of time. users to obtain online answers to ad hoc questions in a rapid amount of time. B. users to view both logical and physical views of data. users to view both logical and physical views of data. C. programmers to quickly diagram data relationships. programmers to quickly diagram data relationships. D. programmers to normalize data. programmers to normalize data.

60  Data mining is a tool for allowing users to: A. quickly compare transaction data gathered over many years. quickly compare transaction data gathered over many years. B. find hidden relationships in data. find hidden relationships in data. C. obtain online answers to ad hoc questions in a rapid amount of time. obtain online answers to ad hoc questions in a rapid amount of time D. summarize massive amounts of data into much smaller, traditional reports. summarize massive amounts of data into much smaller, traditional reports.

61  In terms of the data relationships found by data mining, associations refers to: A. events linked over time. events linked over time. B. patterns that describe a group to which an item belongs. patterns that describe a group to which an item belongs. C. occurrences linked to a single event. occurrences linked to a single event D. undiscovered groupings. undiscovered groupings.

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