Deck 6: Foundations of Business Intelligence: Databases and
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Deck 6: Foundations of Business Intelligence: Databases and
1
A one-to-many relationship between two entities is symbolized in a diagram by a line that ends:
A) in two short marks.
B) in one short mark.
C) with a crow's foot.
D) with a crow's foot preceded by a short mark.
E) in three short marks.
A) in two short marks.
B) in one short mark.
C) with a crow's foot.
D) with a crow's foot preceded by a short mark.
E) in three short marks.
D
2
A characteristic or quality describing an entity is called a(n):
A) field.
B) tuple.
C) key field.
D) attribute.
E) table.
A) field.
B) tuple.
C) key field.
D) attribute.
E) table.
D
3
Which of the following best illustrates the relationship between entities and attributes?
A) The entity CUSTOMER with the attribute PRODUCT
B) The entity CUSTOMER with the attribute ADDRESS
C) The entity PRODUCT with the attribute PURCHASE
D) The entity PRODUCT with the attribute CUSTOMER
E) The entity ADDRESS with the attribute CUSTOMER
A) The entity CUSTOMER with the attribute PRODUCT
B) The entity CUSTOMER with the attribute ADDRESS
C) The entity PRODUCT with the attribute PURCHASE
D) The entity PRODUCT with the attribute CUSTOMER
E) The entity ADDRESS with the attribute CUSTOMER
B
4
A field identified in a record as holding the unique identifier for that record is called the:
A) primary key.
B) key field.
C) primary field.
D) foreign key.
E) identifying field.
A) primary key.
B) key field.
C) primary field.
D) foreign key.
E) identifying field.
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5
Which of the following is the type of logical database model that treats data as if they were stored in two-dimensional tables?
A) Two-tiered DBMS
B) Pre-digital DBMS
C) Open source DBMS
D) Hierarchical DBMS
E) Relational DBMS
A) Two-tiered DBMS
B) Pre-digital DBMS
C) Open source DBMS
D) Hierarchical DBMS
E) Relational DBMS
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6
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.
B) It is critical, as without one, your data may be inaccurate, incomplete, or difficult to retrieve.
C) It is essential, as table relationships cannot be created without an accurate data model.
D) It is somewhat important, as the type of data model will define what kinds of data will be stored.
E) It is unnecessary, as a well-designed database should not require one.
A) It is not essential, as the data model itself is modified by the database continuously.
B) It is critical, as without one, your data may be inaccurate, incomplete, or difficult to retrieve.
C) It is essential, as table relationships cannot be created without an accurate data model.
D) It is somewhat important, as the type of data model will define what kinds of data will be stored.
E) It is unnecessary, as a well-designed database should not require one.
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7
A field identified in a table as holding the unique identifier of the table's records is called the:
A) primary key.
B) key field.
C) primary field.
D) foreign key.
E) identifying field.
A) primary key.
B) key field.
C) primary field.
D) foreign key.
E) identifying field.
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8
A one-to-one relationship between two entities is symbolized in a diagram by a line that ends:
A) in two short marks.
B) in one short mark.
C) with a crow's foot.
D) with a crow's foot topped by a short mark.
E) with a crow's foot topped by two short marks.
A) in two short marks.
B) in one short mark.
C) with a crow's foot.
D) with a crow's foot topped by a short mark.
E) with a crow's foot topped by two short marks.
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9
What are the relationships that the relational database is named for?
A) Relationships between rows and columns
B) Relationships between entities
C) Relationships between fields and records
D) Relationships between databases
E) Relationships between attributes
A) Relationships between rows and columns
B) Relationships between entities
C) Relationships between fields and records
D) Relationships between databases
E) Relationships between attributes
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10
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
B) One-to-one
C) Many-to-many
D) Many-to-one
E) One-to-all
A) One-to-many
B) One-to-one
C) Many-to-many
D) Many-to-one
E) One-to-all
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11
What is the first step you should take in managing data for a firm?
A) Identify the data needed to run the business.
B) Cleanse the data before importing it to any database.
C) Normalize the data before importing to a database.
D) Audit your data quality.
E) Remove redundancy.
A) Identify the data needed to run the business.
B) Cleanse the data before importing it to any database.
C) Normalize the data before importing to a database.
D) Audit your data quality.
E) Remove redundancy.
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12
A schematic of the entire database that describes the relationships in a database is called a(n):
A) data dictionary.
B) intersection relationship diagram.
C) field key diagram.
D) data definition diagram.
E) entity-relationship diagram.
A) data dictionary.
B) intersection relationship diagram.
C) field key diagram.
D) data definition diagram.
E) entity-relationship diagram.
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13
The smallest unit of data a computer can handle is called a:
A) file.
B) record.
C) field.
D) byte.
E) bit.
A) file.
B) record.
C) field.
D) byte.
E) bit.
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14
Relational database systems use ________ to ensure that relationships between coupled tables remain consistent.
A) intersection relations
B) one-to-one ordering
C) entity-relationship diagrams
D) foreign keys
E) referential integrity rules
A) intersection relations
B) one-to-one ordering
C) entity-relationship diagrams
D) foreign keys
E) referential integrity rules
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15
The process of streamlining data to minimize redundancy and awkward many-to-many relationships is called:
A) normalization.
B) data scrubbing.
C) data cleansing.
D) data administration.
E) data management.
A) normalization.
B) data scrubbing.
C) data cleansing.
D) data administration.
E) data management.
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16
In a table for customers, the information about a single customer would reside in a single:
A) field.
B) entity.
C) column.
D) table.
E) row.
A) field.
B) entity.
C) column.
D) table.
E) row.
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17
Which of the following is an example of a pre-digital database?
A) A library's card-catalog
B) A cash register receipt
C) A doctor's office invoice
D) A list of sales totals on a spreadsheet
E) An SQL database
A) A library's card-catalog
B) A cash register receipt
C) A doctor's office invoice
D) A list of sales totals on a spreadsheet
E) An SQL database
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18
A table that links two tables that have a many-to-many relationship is often called a(n):
A) derived table.
B) intersection relation.
C) foreign table.
D) entity-relationship table.
E) derived relation.
A) derived table.
B) intersection relation.
C) foreign table.
D) entity-relationship table.
E) derived relation.
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19
The most basic business database is comprised of:
A) three tables: for suppliers, parts, and sales.
B) four tables: for customers, suppliers, parts, and sales.
C) four tables: for customers, suppliers, sales, and employees.
D) five tables: for customers, employees, suppliers, parts, and sales.
E) attributes instead of tables.
A) three tables: for suppliers, parts, and sales.
B) four tables: for customers, suppliers, parts, and sales.
C) four tables: for customers, suppliers, sales, and employees.
D) five tables: for customers, employees, suppliers, parts, and sales.
E) attributes instead of tables.
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20
In a relational database, a record is also called a(n):
A) tuple.
B) key field.
C) entity.
D) field.
E) table.
A) tuple.
B) key field.
C) entity.
D) field.
E) table.
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21
Every record in a file should contain at least one key field.
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22
A physical view shows data as it is organized on the storage media.
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23
DBMS simplify how end users work with databases by separating the logical and physical views of the data.
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24
What is the purpose of a DBMS's data definition function?
A) Storing and managing the data in the database
B) Storing definitions of data elements
C) Normalizing the database
D) Structuring the database
E) Ensuring consistency of relationships
A) Storing and managing the data in the database
B) Storing definitions of data elements
C) Normalizing the database
D) Structuring the database
E) Ensuring consistency of relationships
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25
The logical view of a database:
A) shows how data are organized and structured on the storage media.
B) presents an entry screen to the user.
C) allows the creation of supplementary reports.
D) presents data as they would be perceived by end users.
E) shows the relationships between entities and attributes.
A) shows how data are organized and structured on the storage media.
B) presents an entry screen to the user.
C) allows the creation of supplementary reports.
D) presents data as they would be perceived by end users.
E) shows the relationships between entities and attributes.
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26
The small publishing company you work for wants to create a new database for storing information about all of their author contracts. What difficulties do you anticipate?
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27
Both Oracle and Microsoft Access use SQL to retrieve information from a database.
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28
Which of the following allows users to add, change, delete, or retrieve data in a database?
A) Attribute generation
B) Report generation tools
C) Data dictionary
D) Query wizard tool
E) Data manipulation language
A) Attribute generation
B) Report generation tools
C) Data dictionary
D) Query wizard tool
E) Data manipulation language
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29
What types of relationships are possible in a relational database? Describe and give an example of each.
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30
A DBMS makes the:
A) relational database available for different analytical views.
B) logical database available for different analytical views.
C) physical database available for different relational views.
D) relational database available for different physical views.
E) physical database available for different logical views.
A) relational database available for different analytical views.
B) logical database available for different analytical views.
C) physical database available for different relational views.
D) relational database available for different physical views.
E) physical database available for different logical views.
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31
A foreign key is a field that links to a separate table.
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32
In a relational database, the three basic operations used to develop useful sets of data are:
A) select, project, and where.
B) select, join, and where.
C) select, project, and join.
D) select, from, and join.
E) who, what, and where.
A) select, project, and where.
B) select, join, and where.
C) select, project, and join.
D) select, from, and join.
E) who, what, and where.
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33
A small publishing company that you work for would like to develop a database that keeps track of the contracts that authors and publishers sign before starting a book. What fields do you anticipate needing for this database? Identify at least seven fields. Which of these fields might be in use in other databases within the firm?
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34
Which of the following is the most prominent data manipulation language today?
A) Access
B) DB2
C) SQL
D) Crystal Reports
E) Hadoop
A) Access
B) DB2
C) SQL
D) Crystal Reports
E) Hadoop
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35
A DBMS is special software for creating, storing, organizing, and accessing data from a database.
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36
Which of the following is an automated or manual file that stores information about data elements and data characteristics such as usage, physical representation, ownership, authorization, and security?
A) Referential integrity module
B) Data definition diagram
C) Entity-relationship diagram
D) Relationship dictionary
E) Data dictionary
A) Referential integrity module
B) Data definition diagram
C) Entity-relationship diagram
D) Relationship dictionary
E) Data dictionary
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37
The project operation:
A) combines relational tables to provide the user with more information than is otherwise available.
B) creates a subset consisting of columns in a table.
C) organizes elements into segments.
D) identifies the table from which the columns will be selected.
E) stores definitions of data elements.
A) combines relational tables to provide the user with more information than is otherwise available.
B) creates a subset consisting of columns in a table.
C) organizes elements into segments.
D) identifies the table from which the columns will be selected.
E) stores definitions of data elements.
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38
End users use a data manipulation language to manipulate data in the database.
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39
A grouping of characters into a word, a group of words, or a complete number is called a record.
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40
The select operation:
A) combines relational tables to provide the user with more information than is otherwise available.
B) creates a subset consisting of columns in a table.
C) 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.
E) specifies the content of the database.
A) combines relational tables to provide the user with more information than is otherwise available.
B) creates a subset consisting of columns in a table.
C) 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.
E) specifies the content of the database.
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41
In terms of the data relationships found by data mining, sequences refers to:
A) events linked over time.
B) patterns that describe a group to which an item belongs.
C) occurrences linked to a single event.
D) undiscovered groupings.
E) classifications when no groups have yet been defined.
A) events linked over time.
B) patterns that describe a group to which an item belongs.
C) occurrences linked to a single event.
D) undiscovered groupings.
E) classifications when no groups have yet been defined.
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42
Identify and describe the three basic operations used to extract useful sets of data from a relational database?
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43
Data mining is more ________ than OLAP.
A) data-focused
B) multidimensional
C) query oriented
D) discovery driven
E) streamlined
A) data-focused
B) multidimensional
C) query oriented
D) discovery driven
E) streamlined
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44
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.
B) 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 website transactions.
D) Data warehouse systems provide easy-to-use tools for managers to easily update data.
E) Data warehouses make data available for anyone to access as needed.
A) 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.
C) They may include data from website transactions.
D) Data warehouse systems provide easy-to-use tools for managers to easily update data.
E) Data warehouses make data available for anyone to access as needed.
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45
MySQL is a:
A) DBMS for mobile devices.
B) programming language.
C) mainframe relational DBMS.
D) DBMS for desktop systems.
E) popular open-source DBMS.
A) DBMS for mobile devices.
B) programming language.
C) mainframe relational DBMS.
D) DBMS for desktop systems.
E) popular open-source DBMS.
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46
Tools for consolidating, analyzing, and providing access to vast amounts of data to help users make better business decisions are known as:
A) DSS.
B) business intelligence.
C) OLAP.
D) data mining.
E) in-memory computing.
A) DSS.
B) business intelligence.
C) OLAP.
D) data mining.
E) in-memory computing.
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47
In terms of the data relationships found by data mining, associations refers to:
A) events linked over time.
B) patterns that describe a group to which an item belongs.
C) occurrences linked to a single event.
D) undiscovered groupings.
E) classification when no groups have yet been defined.
A) events linked over time.
B) patterns that describe a group to which an item belongs.
C) occurrences linked to a single event.
D) undiscovered groupings.
E) classification when no groups have yet been defined.
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48
In clustering, a data mining tool will find:
A) new groupings within data.
B) related predictions from existing values.
C) several events grouped by time.
D) new associations.
E) forecasts for future events.
A) new groupings within data.
B) related predictions from existing values.
C) several events grouped by time.
D) new associations.
E) forecasts for future events.
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49
Which of the following enables users to view the same data in different ways using multiple dimensions?
A) Hadoop
B) SQL
C) Big data
D) Data mining
E) OLAP
A) Hadoop
B) SQL
C) Big data
D) Data mining
E) OLAP
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50
Data mining is a tool for allowing users to:
A) quickly compare transaction data gathered over many years.
B) perform multidimensional data analysis.
C) obtain online answers to ad hoc questions in a rapid amount of time.
D) summarize massive amounts of data into much smaller, traditional reports.
E) find hidden relationships in data.
A) quickly compare transaction data gathered over many years.
B) perform multidimensional data analysis.
C) obtain online answers to ad hoc questions in a rapid amount of time.
D) summarize massive amounts of data into much smaller, traditional reports.
E) find hidden relationships in data.
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51
DBMS typically include report-generating tools in order to:
A) retrieve and display data.
B) display data in tables.
C) display data in graphs.
D) perform predictive analysis.
E) display data in an easier-to-read-format.
A) retrieve and display data.
B) display data in tables.
C) display data in graphs.
D) perform predictive analysis.
E) display data in an easier-to-read-format.
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52
Access is a:
A) DBMS for mobile devices.
B) popular open-source DBMS.
C) DBMS for midrange computers.
D) DBMS for desktop PC systems.
E) DBMS for mainframe computers.
A) DBMS for mobile devices.
B) popular open-source DBMS.
C) DBMS for midrange computers.
D) DBMS for desktop PC systems.
E) DBMS for mainframe computers.
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53
What are some of the benefits of using the cloud as a database platform?
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54
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.
B) all the information is historical.
C) it uses a web interface.
D) all of the information belongs to a single company.
E) it is open-source.
A) it typically focuses on a single subject area or line of business.
B) all the information is historical.
C) it uses a web interface.
D) all of the information belongs to a single company.
E) it is open-source.
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55
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.
B) Hadoop.
C) BI.
D) analytic platforms.
E) data marts.
A) hybrid DBMS.
B) Hadoop.
C) BI.
D) analytic platforms.
E) data marts.
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56
OLAP is a tool that enables users to:
A) obtain online answers to ad hoc questions in a rapid amount of time.
B) view both logical and physical views of data.
C) quickly diagram data relationships.
D) normalize data.
E) find hidden patterns in large databases.
A) obtain online answers to ad hoc questions in a rapid amount of time.
B) view both logical and physical views of data.
C) quickly diagram data relationships.
D) normalize data.
E) find hidden patterns in large databases.
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57
All of the following are tools or technologies for extracting information from unstructured data sets except:
A) sentiment analysis software.
B) SQL queries.
C) Hadoop.
D) a non-relational DBMS.
E) text mining.
A) sentiment analysis software.
B) SQL queries.
C) Hadoop.
D) a non-relational DBMS.
E) text mining.
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58
MongoDB and SimpleDB are both examples of:
A) open-source databases.
B) SQL databases.
C) NoSQL databases.
D) cloud databases.
E) big data databases.
A) open-source databases.
B) SQL databases.
C) NoSQL databases.
D) cloud databases.
E) big data databases.
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59
Which of the following database types would be best suited for storing multimedia?
A) SQL DBMS
B) Open-source DBMS
C) Non-relational DBMS
D) Cloud-based database
E) NoSQL DBMS.
A) SQL DBMS
B) Open-source DBMS
C) Non-relational DBMS
D) Cloud-based database
E) NoSQL DBMS.
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60
Describe the process of querying and reporting in a database using DBMS.
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61
A data warehouse may include information from legacy systems.
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62
Links coming out of an online document are a sign of:
A) richness or variety of topics covered.
B) popularity.
C) data quality.
D) data usage.
E) marketing.
A) richness or variety of topics covered.
B) popularity.
C) data quality.
D) data usage.
E) marketing.
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63
OLAP is a key tool of BI.
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64
A data warehouse is typically comprised of several smaller data marts.
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65
Most back-end databases are able to interpret HTML commands.
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66
The two key services of Hadoop are HDFS and in-memory computing.
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67
Implementing a web interface for a database requires changes to the database itself.
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68
Hadoop can process large quantities of any type of data, including video and Twitter feeds.
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69
Which of the following is an example of a company whose business model is based on access to large databases through the web?
A) Gartner
B) Fortune
C) IBM
D) Microsoft
E) Facebook
A) Gartner
B) Fortune
C) IBM
D) Microsoft
E) Facebook
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70
A data ________ stores current and historical data of potential interest to decision makers throughout the company.
A) warehouse
B) mart
C) archive
D) mine
E) center
A) warehouse
B) mart
C) archive
D) mine
E) center
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71
Links pointing to an online document are a sign of:
A) richness or variety of topics covered.
B) popularity.
C) data quality.
D) data usage.
E) marketing.
A) richness or variety of topics covered.
B) popularity.
C) data quality.
D) data usage.
E) marketing.
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72
Web mining is the discovery of useful patterns on the web.
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73
Which of the following would you use to find out which websites with content related to database design were the most often linked to by other websites?
A) Web usage mining
B) Web server mining
C) Web structure mining
D) Web content mining
E) Web protocol mining
A) Web usage mining
B) Web server mining
C) Web structure mining
D) Web content mining
E) Web protocol mining
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74
A(n) ________ is a dedicated computer in a client/server environment that hosts a DBMS.
A) web server
B) online server
C) database server
D) client server
E) application server
A) web server
B) online server
C) database server
D) client server
E) application server
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75
In-memory computing relies on a computer's main memory for storing data.
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76
OLAP is used to find hidden patterns and relationships in large databases, and infer rules from these to determine future behavior.
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77
Common Gateway Interface is a specification for processing data on a web server.
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78
Businesses use ________ tools to search and analyze unstructured data sets, such as emails and memos.
A) Hadoop
B) web mining
C) text mining
D) OLAP
E) DBMS
A) Hadoop
B) web mining
C) text mining
D) OLAP
E) DBMS
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79
Which of the following would you use to find patterns in user interaction data recorded by web servers?
A) Web usage mining
B) Web server mining
C) Web structure mining
D) Web content mining
E) Web protocol mining
A) Web usage mining
B) Web server mining
C) Web structure mining
D) Web content mining
E) Web protocol mining
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80
Hadoop is a(n):
A) NoSQL database technology that stores both data and procedures acting on the data as objects.
B) data mining platform designed for storing and analyzing big data produced by web communications and transactions.
C) open-source software framework designed for distributing data-processing over inexpensive computers.
D) pre-configured hardware-software system designed for analyzing big data.
E) high-speed platform used to analyze large data sets.
A) NoSQL database technology that stores both data and procedures acting on the data as objects.
B) data mining platform designed for storing and analyzing big data produced by web communications and transactions.
C) open-source software framework designed for distributing data-processing over inexpensive computers.
D) pre-configured hardware-software system designed for analyzing big data.
E) high-speed platform used to analyze large data sets.
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