Transcript Your Question! - Information Technology

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The Game Board!

A.
B.
Web mining is the discovery of useful
patterns on the Web.
True
False

A.
B.
A grouping of characters into a word, a group
of words, or a complete number is called a
record.
TRUE
FALSE

A.
B.
Every record in a file should contain at least
one key field.
TRUE
FALSE

A.
B.
Both Oracle and Microsoft Access use SQL to
retrieve information from the database.
TRUE
FALSE

A.
B.
Both Oracle and Microsoft Access use SQL to
retrieve information from the database.
TRUE
FALSE

A.
B.
Most back-end databases are able to interpret
HTML commands.
TRUE
FALSE

Hadoop can process large quantities of any type
of data, including video and Twitter feeds.

TRUE
FALSE


A.
B.
The two key services of Hadoop are HDFS
and in-memory computing.
TRUE
FALSE

A.
B.
A data warehouse may include information
from legacy systems.
TRUE
FALSE

A.
B.
A data warehouse is typically comprised of
several smaller data marts.
TRUE
FALSE

A.
B.
OLAP is a key tool of BI.
TRUE
FALSE

A.
B.
OLAP is used to find hidden patterns and
relationships in large databases, and infer
rules from these to infer future behavior.
TRUE
FALSE

A.
B.
A foreign key is a field that links to a separate
table.
TRUE
FALSE

A.
B.
C.
D.
MongoDB and SimpleDB are both examples of:
Open-source databases.
SQL databases.
NoSQL databases.
Cloud databases.

A.
B.
C.
D.
An example of a pre-digital database is a:
library's card-catalog.
cash register receipt.
doctor's office invoice.
list of sales totals on a spreadsheet.

What is the first step you should take in managing data
for a firm?
A.
B.
C.
D.
Identify the data needed to run the business
Cleanse the data before importing it to any database
Normalize the data before importing to a database
Audit your data quality

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 ADDRESS
The entity PRODUCT with the attribute PURCHASE
The entity PRODUCT with the attribute CUSTOMER
B.
C.
D.

A.
B.
C.
D.
The type of logical database model that treats data
as if they were stored in two-dimensional tables is
the:
two-tiered DBMS.
pre-digital DBMS.
relational DBMS.
hierarchical DBMS.

What are the relationships that the relational
database is named for?
A.
B.
C.
D.
Relationships between rows and columns
Relationships between entities
Relationships between fields and records
Relationships between databases

A.
B.
C.
D.
A characteristic or quality describing an entity is called
a:
field.
tuple.
key field.
attribute.

The most basic business database is comprised of:
three tables: for suppliers, parts, and sales.
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.
A.
B.

A.
B.
C.
D.
In a table for customers, the information
about a single customer would reside in a
single:
field.
row.
column.
table.

A.
B.
C.
D.
In a relational database, a record is also called a:
tuple.
row.
entity.
field.

A.
B.
C.
D.
A field identified in a table as holding the
unique identifier of the table's records is
called the:
primary key.
key field.
primary field.
foreign key.

A.
B.
C.
D.
A field identified in a record as holding the
unique identifier for that record is called the:
primary key.
key field.
primary field.
foreign key.

In a bus network:
signals are broadcast to the next station.
signals are broadcast in both directions to the
entire network.
C. multiple hubs are organized in a hierarchy.
D. messages pass from computer to computer in a
loop.
A.
B.

A.
B.
C.
D.
A schematic of the entire database that
describes the relationships in a database is
called a:
data dictionary.
intersection relationship diagram.
entity-relationship diagram.
data definition diagram.

A.
B.
C.
D.
A table that links two tables that have a
many-to-many relationship is often called a:
derived table.
intersection relation.
foreign table.
entity-relationship table.

A.
B.
C.
D.
The process of streamlining data to minimize
redundancy and awkward many-to-many
relationships is called:
normalization.
data scrubbing.
data cleansing.
data administration.

A.
B.
C.
D.
A DBMS makes the:
physical database available for different logical views.
logical database available for different analytical views.
physical database available for different relational views.
relational database available for different physical views.

The logical view of a database:
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.
A.

A.
B.
C.
D.
Which of the following is not a typical feature of
DBMS?
Data manipulation language
Report generation tools
Data dictionary
Query wizard tool

A.
B.
C.
D.
Access is a:
DBMS for small handheld computing devices.
popular open-source DBMS.
DBMS for midrange computers.
DBMS for desktop PC systems.

A.
B.
C.
D.
In clustering, a data mining tool will:
find new groupings within data.
find related predictions from existing values.
find several events grouped by time.
find new associations.

A.
B.
C.
D.
MySQL is a:
DBMS for small handheld computing
devices.
popular open-source DBMS.
mainframe relational DBMS.
DBMS for desktop systems.

A.
B.
C.
D.
Data mining is more ___________ than OLAP.
data focused
multidimensional
query oriented
discovery driven
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
A.
B.
C.
D.
In a relational database, the three basic
operations used to develop useful sets of data
are:
select, project, and where.
select, join, and where.
select, project, and join.
select, from, and join.

The select operation:
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.
A.

A.
B.
C.
D.
All of the following are tools or technologies for
extracting information from unstructured data sets
except:
sentiment analysis software.
SQL queries.
Hadoop.
Non-relational DBMS.

The project operation:
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.
A.

A.
B.
C.
D.
Which of the following best describes the importance of creating an
accurate data model for your business's database?
It is not essential, as the data model itself is modified by the database
continuously.
Critical, as without one, your data may be inaccurate, incomplete, or
difficult to retrieve
Essential, as table relationships cannot be created without an accurate
data model
Somewhat important, as the type of data model will define what kinds
of data will be stored

A.
B.
C.
D.
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:
data dictionary.
data definition diagram.
entity-relationship diagram.
relationship dictionary.

A.
B.
C.
D.
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?
one-to-many
one-to-one
many-to-many
many-to-one

A.
B.
C.
D.
The most prominent data manipulation language
today is:
Access.
DB2.
SQL.
Crystal Reports.

A.
B.
C.
D.
DBMS typically include report-generating tools in
order to:
retrieve and display data.
display data in an easier-to-read format.
display data in graphs.
perform predictive analysis.

A.
B.
C.
D.
What is the purpose of a DBMS's data definition
function?
Storing and managing the data in the database
Storing definitions of data elements
Normalizing the database
Structuring the database

A.
B.
C.
D.
Which of the following database types would be
best suited for storing multimedia?
SQL DBMS
Open-source DBMS
Non-relational DBMS
Cloud-based database

A.
B.
C.
D.
Pre-configured hardware-software systems that use
both relational and non-relational technology
optimized for analyzing large datasets are referred to
as:
Hybrid DBMS.
Hadoop.
BI.
Analytic platforms.

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.
Data warehouse systems provide a range of ad hoc and
standardized query tools, analytical tools, and graphical
reporting facilities.
They may include data from Web site transactions.
Data warehouse systems provide easy-to-use tools for
managers to easily update data.
B.
C.
D.

A data mart usually can be constructed more rapidly
and at lower cost than a data warehouse because:
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.
A.

A.
B.
C.
D.
Tools for consolidating, analyzing, and providing
access to vast amounts of data to help users make
better business decisions are known as:
DSS.
business intelligence.
OLAP.
data mining.

A.
B.
C.
D.
The tool that enables users to view the same data in
different ways using multiple dimensions is:
Hadoop.
SQL.
OLAP.
data mining.

OLAP is a tool for enabling:
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.
C. programmers to quickly diagram data
relationships.
D. programmers to normalize data.
A.

Data mining is a tool for allowing users to:
quickly compare transaction data gathered over
many years.
B. find hidden relationships in data.
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.
A.

In terms of the data relationships found by data
mining, associations refers to:
events linked over time.
patterns that describe a group to which an item
belongs.
C. occurrences linked to a single event.
D. undiscovered groupings.
A.
B.
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