Chapter 6

A characteristic or quality that describes a particular database entity is called a(n): key field. field. tuple. Attribute. relationship.

Attribute. -

Microsoft SQL Server is a(n): DBMS for midrange computers. desktop relational DBMS. DBMS for mobile devices. DBMS for both desktops and mobile devices. Internet DBMS.

DBMS for midrange computers.-

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? Data table Data dictionary Entity-relationship diagram Data definition diagram Relationship dictionary

Data dictionary -

_______ tools are used to analyze large unstructured data sets, such as email, memos, and survey responses to discover patterns and relationships. Clustering Classification OLAP In-memory Text mining

Text mining -

OLAP enables: programmers to normalize data. users to obtain online answers to ad-hoc questions in a rapid amount of time. programmers to quickly diagram data relationships. users to quickly generate summary reports. users to view both logical and physical views of data.

users to obtain online answers to ad-hoc questions in a rapid amount of time.-

Which of the following enables a DBMS to reduce data redundancy and inconsistency? Ability to enforce referential integrity Ability to couple program and data Ability to minimize isolated files with repeated data Ability to create two-dimensional tables Use of a data dictionary

Ability to minimize isolated files with repeated data -

Which of the following enables you to create a script that allows a web server to communicate with a back-end database? Java CGI SQL HTML NoSQL

CGI

You work for a car rental agency and want to determine what characteristics are shared among your most loyal customers. To do this, you will want to use the data mining software you are using to do which of the following? Identify sequences Identify associations Create a forecast Classify data Identify clusters

Classify data -

Which of the following is a specialized language that programmers use to add and change data in the database? Data manipulation language Data definition language Structured query language DBMS Data access language

Data definition language -

Which of the following occurs when the same attribute in related data files has different values? Data dependence Data redundancy Data duplication Data discrepancy Data inconsistency

Data inconsistency -

In a large organization, which of the following functions would be responsible for physical database design and maintenance? Database management Information policy administration Database administration Data auditing Data administration

Database administration-

A database ________ describes a database entity. Record file Field value Byte

Field

Which of the following is a grouping of characters into a word, a group of words, or a complete number? Field Entity File Table Tuple

Field-

In data mining, which of the following involves using a series of existing values to determine what other future values will be? Forecasting Clustering Sequences Classifications Associations

Forecasting

Which of the following technologies would you use to analyze the social media data collected by a major online retailer? Data mart Data warehouse Hadoop DBMS OLAP

Hadoop -

The fact that a traditional file system cannot respond to unanticipated information requirements in a timely fashion is an example of which of the following issues with traditional file systems? Poor security Data redundancy Lack of flexibility Program-data dependence Lack of data sharing

Lack of flexibility

Which of the following is a DBMS for desktop computers? Oracle Database DB2 Microsoft Exchange Microsoft SQL Server Microsoft Access

Microsoft SQL Server -

MongoDB and SimpleDB are both examples of: SQL databases. open source databases. NoSQL databases. cloud databases. big data databases.

NoSQL databases.-

In a table for customers, the information about a single customer resides in a single: field. entity. Row. column. table.

Row.

A household appliances manufacturer has hired you to help analyze its social media datasets to determine which of its refrigerators are seen as the most reliable. Which of the following tools would you use to analyze this data? Sentiment analysis software Data mining software Web mining technologies Text mining tools Data governance software

Sentiment analysis software -

In data mining, which of the following involves events linked over time? Sequences Classifications Clustering Forecasting Associations

Sequences -

Which of the following is not one of the techniques used in web mining? Usage mining Server mining Structure mining Content mining Data mining

Server mining

Which of the following is not a method for performing a data quality audit? Surveying managers about their perceptions of data quality Surveying end users about their perceptions of data quality Surveying entire data files Surveying samples from data files Surveying data definition and query files

Surveying data definition and query files-

Which of the following best illustrates the relationship between entities and attributes? The entity PRODUCT with the attribute CUSTOMER The entity PRODUCT with the attribute PURCHASE The entity CUSTOMER with the attribute PURCHASE The entity PURCHASE with the attribute CUSTOMER The entity CUSTOMER with the attribute PRODUCT

The entity CUSTOMER with the attribute PURCHASE -

Which of the following would you use to find patterns in user interaction data recorded by a web server? Web server mining Web structure mining Web content mining Web protocol mining Web usage mining

Web usage mining

A one-to-many relationship between two entities is symbolized in a diagram by a line that ends with: two short marks. three short marks. one short mark. a crow's foot topped by a short mark. a crow's foot.

a crow's foot topped by a short mark.

All of the following are technologies used to analyze and manage big data except: in-memory computing. analytic platforms. noSQL. cloud computing . Hadoop.

cloud computing

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

combines relational tables to provide the user with more information than is otherwise available.

The select operation: combines relational tables to provide the user with more information than is otherwise available. identifies the table from which the columns will be selected. creates a subset consisting of rows in a table. creates a subset consisting of columns in a table. 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. -

Detecting and correcting data in a database or file that are incorrect, incomplete, improperly formatted, or redundant is called: defragmentation. data normalization. data auditing. data scrubbing. data optimization.

data scrubbing. -

The term big data refers to all of the following except: datasets with fewer than a billion records. data created by social media (i.e. tweets, Facebook Likes). data from Web traffic. machine-generated data (i.e. from sensors). datasets with unstructured data.

datasets with fewer than a billion records. -

DBMSs typically include report generating tools in order to: display data in a more structured and polished format than would be possible just by querying. analyze the database's performance. perform predictive analysis. display data in graphs. retrieve and display data.

display data in a more structured and polished format than would be possible just by querying. -

Data cleansing not only corrects errors but also: removes duplicate data. enforces consistency among different sets of data. establishes logical relationships between data. structures data. normalizes data.

enforces consistency among different sets of data.

All of the following are issues with the traditional file environment except: data sharing. data inconsistency. poor security. inability to develop specialized applications for functional areas lack of flexibility in creating ad-hoc reports.

inability to develop specialized applications for functional areas.-

An organization's rules for sharing, disseminating, acquiring, standardizing, classifying, and inventorying information is called a(n): data policy. data quality audit. data definition file. information policy data governance policy.

information policy.-

A schematic of the entire database that describes the relationships in a database is called a(n): intersection relationship diagram. data analysis table. data dictionary. data definition diagram. entity-relationship diagram.

ntity-relationship diagram. -

In the context of data relationships, the term associations refers to: relationships between different customers. undiscovered groupings. patterns that describe a group to which an item belongs. events linked over time. occurrences linked to a single event.

occurrences linked to a single event.-

A field identified in a table as holding the unique identifier of the table's records is called the: primary key. key field. unique ID. primary field. primary entity.

primary entity.

A(n) ________ represent data as two-dimensional tables. non-relational DBMS mobile DBMS relational DBMS hierarchical DBMS object-oriented DBMS

relational DBMS -

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. where, find, and select. where, from, and join.

select, project, and join. -

In a relational database, a record is referred to in technical terms as a(n): field. table. tuple key. entity.

tuple.-

A data lake is composed of: historic and current internal data. historical data from legacy systems. unstructured and structured data that has not been analyzed. historic external data. internal and external data sources.

unstructured and structured data that has not been analyzed.-