1. Which of the following database types would be best suited for storing multimedia?
SQL DBMS
Open-source DBMS
Non-relational DBMS
Cloud-based database
NoSQL DBMS.
answer
Non-relational DBMS
question
1. The confusion created by ________ makes it difficult for companies to create customer relationship management, supply chain management, or enterprise systems that integrate data from different sources.
batch processing
data redundancy
data independence
online processing
data freedom
answer
data redundancy
question
1. MySQL is a:
DBMS for mobile devices.
programming language.
mainframe relational DBMS.
DBMS for desktop systems.
popular open-source DBMS.
answer
popular open-source DBMS.
question
1. 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?
Web usage mining
Web server mining
Web structure mining
Web content mining
Web protocol mining
answer
Web structure mining
question
1. Which of the following is an example of a pre-digital database?
A library's card-catalog
A cash register receipt
A doctor's office invoice
A list of sales totals on a spreadsheet
An SQL database
answer
A library's card-catalog
question
1. Which of the following would you use to find patterns in user interaction data recorded by web servers?
Web usage mining
Web server mining
Web structure mining
Web content mining
Web protocol mining
answer
Web usage mining
question
1. Detecting and correcting data in a database or file that are incorrect, incomplete, improperly formatted, or redundant is called:
data auditing.
defragmentation.
data scrubbing.
data optimization.
data repair.
answer
data scrubbing.
question
1. Links coming out of an online document are a sign of:
richness or variety of topics covered.
popularity.
data quality.
data usage.
marketing.
answer
richness or variety of topics covered.
question
1. The process of streamlining data to minimize redundancy and awkward many-to-many relationships is called:
normalization.
data scrubbing.
data cleansing.
data administration.
data management.
answer
normalization.
question
1. A one-to-one relationship between two entities is symbolized in a diagram by a line that ends:
in two short marks.
in one short mark.
with a crow's foot.
with a crow's foot topped by a short mark.
with a crow's foot topped by two short marks.
answer
in two short marks.
question
1. 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
One-to-all
answer
One-to-one
question
1. 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?
Referential integrity module
Data definition diagram
Entity-relationship diagram
Relationship dictionary
Data dictionary
answer
Data dictionary
question
1. 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.
identifying field.
answer
primary key.
question
1. In clustering, a data mining tool will find:
new groupings within data.
related predictions from existing values.
several events grouped by time.
new associations.
forecasts for future events.
answer
new groupings within data.
question
1. In a table for customers, the information about a single customer would reside in a single:
field.
entity.
column.
table.
row.
answer
row.
question
1. Which of the following is the most prominent data manipulation language today?
Access
DB2
SQL
Crystal Reports
Hadoop
answer
SQL
question
1. Data mining is a tool for allowing users to:
quickly compare transaction data gathered over many years.
perform multidimensional data analysis.
obtain online answers to ad hoc questions in a rapid amount of time.
summarize massive amounts of data into much smaller, traditional reports.
find hidden relationships in data.
answer
find hidden relationships in data.
question
1. Which of the following enables users to view the same data in different ways using multiple dimensions?
Hadoop
SQL
Big data
Data mining
OLAP
answer
OLAP
question
1. In terms of the data relationships found by data mining, sequences refers to:
events linked over time.
patterns that describe a group to which an item belongs.
occurrences linked to a single event.
undiscovered groupings.
classifications when no groups have yet been defined.
answer
events linked over time.
question
1. A(n) ________ is a dedicated computer in a client/server environment that hosts a DBMS.
web server
online server
database server
client server
application server
answer
database server
question
1. Hadoop is a(n):
NoSQL database technology that stores both data and procedures acting on the data as objects.
data mining platform designed for storing and analyzing big data produced by web communications and transactions.
open-source software framework designed for distributing data-processing over inexpensive computers.
pre-configured hardware-software system designed for analyzing big data.
high-speed platform used to analyze large data sets.
answer
open-source software framework designed for distributing data-processing over inexpensive computers.
question
1. The select operation:
combines relational tables to provide the user with more information than is otherwise available.
creates a subset consisting of columns in a table.
identifies the table from which the columns will be selected.
creates a subset consisting of all records in the file that meet stated criteria.
specifies the content of the database.
answer
creates a subset consisting of all records in the file that meet stated criteria.
question
1. The most basic business database is comprised of:
three tables: for suppliers, parts, and sales.
four tables: for customers, suppliers, parts, and sales.
four tables: for customers, suppliers, sales, and employees.
five tables: for customers, employees, suppliers, parts, and sales.
attributes instead of tables.
answer
five tables: for customers, employees, suppliers, parts, and sales.
question
1. MongoDB and SimpleDB are both examples of:
open-source databases.
SQL databases.
NoSQL databases.
cloud databases.
big data databases.
answer
NoSQL databases.
question
1. The logical view of a database:
shows how data are organized and structured on the storage media.
presents an entry screen to the user.
allows the creation of supplementary reports.
presents data as they would be perceived by end users.
shows the relationships between entities and attributes.
answer
presents data as they would be perceived by end users.
question
1. Which of the following is the type of logical database model that treats data as if they were stored in two-dimensional tables?
Two-tiered DBMS
Pre-digital DBMS
Open source DBMS
Hierarchical DBMS
Relational DBMS
answer
Relational DBMS
question
1. What are the relationships that the relational database is named for?
Relationships between rows and columns
Relationships between entities
Relationships between fields and records
Relationships between databases
Relationships between attributes
answer
Relationships between entities
question
1. A one-to-many relationship between two entities is symbolized in a diagram by a line that ends:
in two short marks.
in one short mark.
with a crow's foot.
with a crow's foot preceded by a short mark.
in three short marks.
answer
with a crow's foot preceded by a short mark.
question
1. A characteristic or quality describing an entity is called a(n):
field.
tuple.
key field.
attribute.
table.
answer
attribute.
question
1. A DBMS makes the:
relational database available for different analytical views.
logical database available for different analytical views.
physical database available for different relational views.
relational database available for different physical views.
physical database available for different logical views.
answer
physical database available for different logical views.
question
1. 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.
data marts.
answer
analytic platforms.
question
1. Relational database systems use ________ to ensure that relationships between coupled tables remain consistent.
intersection relations
one-to-one ordering
entity-relationship diagrams
foreign keys
referential integrity rules
answer
referential integrity rules
question
1. Links pointing to an online document are a sign of:
richness or variety of topics covered.
popularity.
data quality.
data usage.
marketing.
answer
popularity.
question
1. The project operation:
combines relational tables to provide the user with more information than is otherwise available.
creates a subset consisting of columns in a table.
organizes elements into segments.
identifies the table from which the columns will be selected.
stores definitions of data elements.
answer
creates a subset consisting of columns in a table.
question
1. Access is a:
DBMS for mobile devices.
popular open-source DBMS.
DBMS for midrange computers.
DBMS for desktop PC systems.
DBMS for mainframe computers.
answer
DBMS for desktop PC systems.
question
1. 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.
identifying field.
answer
key field.
question
1. OLAP is a tool that enables users to:
obtain online answers to ad hoc questions in a rapid amount of time.
view both logical and physical views of data.
quickly diagram data relationships.
normalize data.
find hidden patterns in large databases.
answer
obtain online answers to ad hoc questions in a rapid amount of time.
question
1. 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.
all the information is historical.
it uses a web interface.
all of the information belongs to a single company.
it is open-source.
answer
it typically focuses on a single subject area or line of business.
question
1. 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
Ensuring consistency of relationships
answer
Structuring the database
question
1. Which of the following allows users to add, change, delete, or retrieve data in a database?
Attribute generation
Report generation tools
Data dictionary
Query wizard tool
Data manipulation language
answer
Data manipulation language
question
1. In a relational database, a record is also called a(n):
tuple.
key field.
entity.
field.
table.
answer
tuple.
question
1. 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.
who, what, and where.
answer
select, project, and join.
question
1. A data ________ stores current and historical data of potential interest to decision makers throughout the company.
warehouse
mart
archive
mine
center
answer
warehouse
question
1. 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.
in-memory computing.
answer
business intelligence.
question
1. Businesses use ________ tools to search and analyze unstructured data sets, such as emails and memos.
Hadoop
web mining
text mining
OLAP
DBMS
answer
text mining
question
1. 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.
occurrences linked to a single event.
undiscovered groupings.
classification when no groups have yet been defined.
answer
occurrences linked to a single event.
question
1. Which of the following best illustrates the relationship between entities and attributes?
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
The entity ADDRESS with the attribute CUSTOMER
answer
The entity CUSTOMER with the attribute ADDRESS
question
1. 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.
It is critical, as without one, your data may be inaccurate, incomplete, or difficult to retrieve.
It is essential, as table relationships cannot be created without an accurate data model.
It is somewhat important, as the type of data model will define what kinds of data will be stored.
It is unnecessary, as a well-designed database should not require one.
answer
It is critical, as without one, your data may be inaccurate, incomplete, or difficult to retrieve.
question
1. Data mining is more ________ than OLAP.
data-focused
multidimensional
query oriented
discovery driven
streamlined
answer
discovery driven
question
1. A schematic of the entire database that describes the relationships in a database is called a(n):
data dictionary.
intersection relationship diagram.
field key diagram.
data definition diagram.
entity-relationship diagram.
answer
entity-relationship diagram.
question
1. A(n) ________ is a structured survey of the accuracy and level of completeness of the data in an information system.
data quality audit
systems analysis
systems audit
data analysis
data overview
answer
data quality audit
question
1. What is the first step you should take in managing data for a firm?
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.
Remove redundancy.
answer
Identify the data needed to run the business.
question
1. Which of the following statements about data warehouses is not true?
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 website transactions.
Data warehouse systems provide easy-to-use tools for managers to easily update data.
Data warehouses make data available for anyone to access as needed.
answer
Data warehouse systems provide easy-to-use tools for managers to easily update data.
question
1. Within a corporate information services department, the task of establishing the physical database and its logical relations are responsibilities of the ________ function.
data management
data administration
server administration
data modeling
database administration
answer
database administration
question
1. Common data quality problems include all of the following except:
misspelled names.
transposed numbers.
incorrect codes.
missing codes.
Internet connectivity problems.
answer
Internet connectivity problems.
question
1. Which of the following is an example of a company whose business model is based on access to large databases through the web?
Gartner
Fortune
IBM
Microsoft
Facebook
answer
Facebook
question
1. A table that links two tables that have a many-to-many relationship is often called a(n):
derived table.
intersection relation.
foreign table.
entity-relationship table.
derived relation.
answer
intersection relation.
question
1. All of the following are tools or technologies for extracting information from unstructured data sets except:
sentiment analysis software.
SQL queries.
Hadoop.
a non-relational DBMS.
text mining.
answer
SQL queries.
question
1. The smallest unit of data a computer can handle is called a:
file.
record.
field.
byte.
bit.
answer
bit.
question
1. DBMS typically include report-generating tools in order to:
retrieve and display data.
display data in tables.
display data in graphs.
perform predictive analysis.
display data in an easier-to-read-format.
answer
display data in an easier-to-read-format.
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