ログイン

(Prelim) Information Management Mocktest BSIT 402
45問 • 11ヶ月前
  • Xai Alexandrei Delos Reyes
  • 通報

    問題一覧

  • 1

    Raw facts, or facts that have not yet been processed to reveal their meaning to the end user.

    Data

  • 2

    The result of processing raw data to reveal its meaning. Information consists of transformed data and facilities decision making.

    Information

  • 3

    a shared, integrated computer structure that houses a collection of end-user data and metadata

    Database

  • 4

    a collection of programs that manages the database structure and controls access to the data stored in the database

    Database Management System (DBMS)

  • 5

    The DBMS serves as the intermediary between the user and the database. The database structure itself is stored as a collection of files, and the only way to access the data in those files is through the DBMS.

    Improved data sharing

  • 6

    The more users access the data, the greater the risks of data security breaches

    Improved data security

  • 7

    Wider access to well-managed data promotes an integrated view of the organization’s operations and a clearer view of the big picture.

    Better data integration

  • 8

    Data inconsistency exists when different versions of the same data appear in different places.

    Minimized data inconsistency

  • 9

    The DBMS makes it possible to produce quick answers to ad hoc queries. From a database perspective, a query is a specific request issued to the DBMS for data manipulation—for example, to read or update the data.

    Improved data access

  • 10

    Better-managed data and improved data access make it possible to generate better- quality information, on which better decisions are based. The quality of the information generated depends on the quality of the underlying data.

    Improved decision-making

  • 11

    The availability of data, combined with the tools that transform data into usable information, empowers end users to make quick, informed decisions that can make the difference between success and failure in the global economy.

    Improved end-user productivity

  • 12

    A type of database that supports only one user at a time.

    Single-user database

  • 13

    A single user database that runs on a personal computer.

    Desktop Database

  • 14

    A type of database that supports multiple users at the same time.

    Multiuser Database

  • 15

    A type of database that supports a relatively small number of users or a specific department within an organization.

    Workgroup Database

  • 16

    A type of database that is used by the entire organization and supports many users across many departments.

    Enterprise Database

  • 17

    A type of database that is used by the entire organization and supports many users across many departments.

    Enterprise Database

  • 18

    A type of database that supports data located at a single site.

    Centralized Database

  • 19

    A type of database that supports data distributed across several different sites.

    Distributed Database

  • 20

    A database that is created and maintained using cloud services, such as Microsoft Azure or Amazon AWS.

    Cloud Database

  • 21

    A type of database that contains data focused on specific subject areas.

    Discipline-specific database

  • 22

    A type of database designed primarily to support a company's day-to-day operations.

    Operational database

  • 23

    A type of database focused primarily on storing historical data and business metrics used for tactical or strategic decision making.

    Analytical database

  • 24

    refers to the activities that focus on the design of the database structure that will be used to store and mange end-user data.

    Database Design

  • 25

    It was developed in the 1960s to manage large amounts of data for complex manufacturing projects.

    Hierarchical Model

  • 26

    It was created to represent complex data relationships more effectively than the hierarchical model, to improve database performance, and to impose a database standard.

    Network Model

  • 27

    It was introduced in 1970 by E. F. Codd of IBM.

    Relational Model

  • 28

    It was introduced in 1976 by Peter Chen.

    Entity Relationship Model

  • 29

    both data and its relationships are contained in a single structure known as an object

    Object-Oriented Model

  • 30

    A metalanguage used to represent and manipulate data elements. Unlike other markup languages, ____ permits the manipulation of a document's data elements.

    Extensible Markup Language (XML)

  • 31

    It refers to a movement to find new and better ways to manage large amounts of web and sensor-generated data and derive business insight from it, while simultaneously providing high performance and scalability at a reasonable cost.

    Big Data

  • 32

    It is a large-scale distributed database system that stores structured and unstructured data in efficient ways.

    NoSQL

  • 33

    is relatively simple representation, usually graphical, of more complex real-world data structures.

    Data Model

  • 34

    It is a person, place, thing, or event about which data will be collected and stored.

    Entity

  • 35

    It is a characteristic of an entity.

    Attribute

  • 36

    It describes an association among entities.

    Relationship

  • 37

    It is the conceptual organization of the entire database as viewed by the database administrator

    Schema

  • 38

    It defines the portion of the database by the application programs that actually produce the desired information from the data in the database

    Subschema

  • 39

    It allows the database administrator to define the schema components.

    Data Definition Language (DDL)

  • 40

    It refer to the amounts of data being stored.

    Volume

  • 41

    It refers not only to the speed with which data grows but also to the need to process this data quickly in order to generate information and insight.

    Velocity

  • 42

    It refers to the fact that the data being collected comes in multiple different data formats.

    Variety

  • 43

    It is the end user's view of the data environment.

    External Model

  • 44

    It represents a global view of the entire database by the entire organization.

    Conceptual Model

  • 45

    It is the representation of the database as "seen" by the DBMS.

    Internal Model

  • The Contemporary World Mock test (Prelims)

    The Contemporary World Mock test (Prelims)

    Xai Alexandrei Delos Reyes · 58問 · 2年前

    The Contemporary World Mock test (Prelims)

    The Contemporary World Mock test (Prelims)

    58問 • 2年前
    Xai Alexandrei Delos Reyes

    Computing Mock test (Prelims)

    Computing Mock test (Prelims)

    Xai Alexandrei Delos Reyes · 67問 · 2年前

    Computing Mock test (Prelims)

    Computing Mock test (Prelims)

    67問 • 2年前
    Xai Alexandrei Delos Reyes

    Programming Mock Test (Prelims)

    Programming Mock Test (Prelims)

    Xai Alexandrei Delos Reyes · 64問 · 2年前

    Programming Mock Test (Prelims)

    Programming Mock Test (Prelims)

    64問 • 2年前
    Xai Alexandrei Delos Reyes

    Entrepreneurship Mock Test (Prelims)

    Entrepreneurship Mock Test (Prelims)

    Xai Alexandrei Delos Reyes · 23問 · 2年前

    Entrepreneurship Mock Test (Prelims)

    Entrepreneurship Mock Test (Prelims)

    23問 • 2年前
    Xai Alexandrei Delos Reyes

    Computing Mock Test (Midterms) BSIT 107

    Computing Mock Test (Midterms) BSIT 107

    Xai Alexandrei Delos Reyes · 76問 · 2年前

    Computing Mock Test (Midterms) BSIT 107

    Computing Mock Test (Midterms) BSIT 107

    76問 • 2年前
    Xai Alexandrei Delos Reyes

    Math Mock Test (Prelims)

    Math Mock Test (Prelims)

    Xai Alexandrei Delos Reyes · 48問 · 2年前

    Math Mock Test (Prelims)

    Math Mock Test (Prelims)

    48問 • 2年前
    Xai Alexandrei Delos Reyes

    Programming Mock Test (Midterms) BSIT 107

    Programming Mock Test (Midterms) BSIT 107

    Xai Alexandrei Delos Reyes · 52問 · 2年前

    Programming Mock Test (Midterms) BSIT 107

    Programming Mock Test (Midterms) BSIT 107

    52問 • 2年前
    Xai Alexandrei Delos Reyes

    UTS Mock Test (Midterms) BSIT107

    UTS Mock Test (Midterms) BSIT107

    Xai Alexandrei Delos Reyes · 40問 · 2年前

    UTS Mock Test (Midterms) BSIT107

    UTS Mock Test (Midterms) BSIT107

    40問 • 2年前
    Xai Alexandrei Delos Reyes

    Entrepreneurship Mock Test (Midterms) BSIT 107

    Entrepreneurship Mock Test (Midterms) BSIT 107

    Xai Alexandrei Delos Reyes · 38問 · 2年前

    Entrepreneurship Mock Test (Midterms) BSIT 107

    Entrepreneurship Mock Test (Midterms) BSIT 107

    38問 • 2年前
    Xai Alexandrei Delos Reyes

    Contemporary World Mock Test (Midterms) BSIT 107

    Contemporary World Mock Test (Midterms) BSIT 107

    Xai Alexandrei Delos Reyes · 28問 · 2年前

    Contemporary World Mock Test (Midterms) BSIT 107

    Contemporary World Mock Test (Midterms) BSIT 107

    28問 • 2年前
    Xai Alexandrei Delos Reyes

    Math Mocktest (Midterms) BSIT 107

    Math Mocktest (Midterms) BSIT 107

    Xai Alexandrei Delos Reyes · 24問 · 2年前

    Math Mocktest (Midterms) BSIT 107

    Math Mocktest (Midterms) BSIT 107

    24問 • 2年前
    Xai Alexandrei Delos Reyes

    Computer Programming Mocktest (Pre-finals)

    Computer Programming Mocktest (Pre-finals)

    Xai Alexandrei Delos Reyes · 26問 · 2年前

    Computer Programming Mocktest (Pre-finals)

    Computer Programming Mocktest (Pre-finals)

    26問 • 2年前
    Xai Alexandrei Delos Reyes

    Math Mocktest (Pre-Finals)

    Math Mocktest (Pre-Finals)

    Xai Alexandrei Delos Reyes · 19問 · 2年前

    Math Mocktest (Pre-Finals)

    Math Mocktest (Pre-Finals)

    19問 • 2年前
    Xai Alexandrei Delos Reyes

    Computing Mock Test (Pre-finals)

    Computing Mock Test (Pre-finals)

    Xai Alexandrei Delos Reyes · 36問 · 2年前

    Computing Mock Test (Pre-finals)

    Computing Mock Test (Pre-finals)

    36問 • 2年前
    Xai Alexandrei Delos Reyes

    Computing Mock Test Finals

    Computing Mock Test Finals

    Xai Alexandrei Delos Reyes · 26問 · 2年前

    Computing Mock Test Finals

    Computing Mock Test Finals

    26問 • 2年前
    Xai Alexandrei Delos Reyes

    Comprog 2nd sem (prelims) BSIT 205

    Comprog 2nd sem (prelims) BSIT 205

    Xai Alexandrei Delos Reyes · 63問 · 1年前

    Comprog 2nd sem (prelims) BSIT 205

    Comprog 2nd sem (prelims) BSIT 205

    63問 • 1年前
    Xai Alexandrei Delos Reyes

    Discrete Math 2nd sem (prelims) BSIT 205

    Discrete Math 2nd sem (prelims) BSIT 205

    Xai Alexandrei Delos Reyes · 36問 · 1年前

    Discrete Math 2nd sem (prelims) BSIT 205

    Discrete Math 2nd sem (prelims) BSIT 205

    36問 • 1年前
    Xai Alexandrei Delos Reyes

    Art Appreciation (Prelim) BSIT 205

    Art Appreciation (Prelim) BSIT 205

    Xai Alexandrei Delos Reyes · 56問 · 1年前

    Art Appreciation (Prelim) BSIT 205

    Art Appreciation (Prelim) BSIT 205

    56問 • 1年前
    Xai Alexandrei Delos Reyes

    Ethics 2nd sem (Prelims) BSIT 205

    Ethics 2nd sem (Prelims) BSIT 205

    Xai Alexandrei Delos Reyes · 45問 · 1年前

    Ethics 2nd sem (Prelims) BSIT 205

    Ethics 2nd sem (Prelims) BSIT 205

    45問 • 1年前
    Xai Alexandrei Delos Reyes

    STS 2nd Sem (Prelim) BSIT 205

    STS 2nd Sem (Prelim) BSIT 205

    Xai Alexandrei Delos Reyes · 40問 · 1年前

    STS 2nd Sem (Prelim) BSIT 205

    STS 2nd Sem (Prelim) BSIT 205

    40問 • 1年前
    Xai Alexandrei Delos Reyes

    問題一覧

  • 1

    Raw facts, or facts that have not yet been processed to reveal their meaning to the end user.

    Data

  • 2

    The result of processing raw data to reveal its meaning. Information consists of transformed data and facilities decision making.

    Information

  • 3

    a shared, integrated computer structure that houses a collection of end-user data and metadata

    Database

  • 4

    a collection of programs that manages the database structure and controls access to the data stored in the database

    Database Management System (DBMS)

  • 5

    The DBMS serves as the intermediary between the user and the database. The database structure itself is stored as a collection of files, and the only way to access the data in those files is through the DBMS.

    Improved data sharing

  • 6

    The more users access the data, the greater the risks of data security breaches

    Improved data security

  • 7

    Wider access to well-managed data promotes an integrated view of the organization’s operations and a clearer view of the big picture.

    Better data integration

  • 8

    Data inconsistency exists when different versions of the same data appear in different places.

    Minimized data inconsistency

  • 9

    The DBMS makes it possible to produce quick answers to ad hoc queries. From a database perspective, a query is a specific request issued to the DBMS for data manipulation—for example, to read or update the data.

    Improved data access

  • 10

    Better-managed data and improved data access make it possible to generate better- quality information, on which better decisions are based. The quality of the information generated depends on the quality of the underlying data.

    Improved decision-making

  • 11

    The availability of data, combined with the tools that transform data into usable information, empowers end users to make quick, informed decisions that can make the difference between success and failure in the global economy.

    Improved end-user productivity

  • 12

    A type of database that supports only one user at a time.

    Single-user database

  • 13

    A single user database that runs on a personal computer.

    Desktop Database

  • 14

    A type of database that supports multiple users at the same time.

    Multiuser Database

  • 15

    A type of database that supports a relatively small number of users or a specific department within an organization.

    Workgroup Database

  • 16

    A type of database that is used by the entire organization and supports many users across many departments.

    Enterprise Database

  • 17

    A type of database that is used by the entire organization and supports many users across many departments.

    Enterprise Database

  • 18

    A type of database that supports data located at a single site.

    Centralized Database

  • 19

    A type of database that supports data distributed across several different sites.

    Distributed Database

  • 20

    A database that is created and maintained using cloud services, such as Microsoft Azure or Amazon AWS.

    Cloud Database

  • 21

    A type of database that contains data focused on specific subject areas.

    Discipline-specific database

  • 22

    A type of database designed primarily to support a company's day-to-day operations.

    Operational database

  • 23

    A type of database focused primarily on storing historical data and business metrics used for tactical or strategic decision making.

    Analytical database

  • 24

    refers to the activities that focus on the design of the database structure that will be used to store and mange end-user data.

    Database Design

  • 25

    It was developed in the 1960s to manage large amounts of data for complex manufacturing projects.

    Hierarchical Model

  • 26

    It was created to represent complex data relationships more effectively than the hierarchical model, to improve database performance, and to impose a database standard.

    Network Model

  • 27

    It was introduced in 1970 by E. F. Codd of IBM.

    Relational Model

  • 28

    It was introduced in 1976 by Peter Chen.

    Entity Relationship Model

  • 29

    both data and its relationships are contained in a single structure known as an object

    Object-Oriented Model

  • 30

    A metalanguage used to represent and manipulate data elements. Unlike other markup languages, ____ permits the manipulation of a document's data elements.

    Extensible Markup Language (XML)

  • 31

    It refers to a movement to find new and better ways to manage large amounts of web and sensor-generated data and derive business insight from it, while simultaneously providing high performance and scalability at a reasonable cost.

    Big Data

  • 32

    It is a large-scale distributed database system that stores structured and unstructured data in efficient ways.

    NoSQL

  • 33

    is relatively simple representation, usually graphical, of more complex real-world data structures.

    Data Model

  • 34

    It is a person, place, thing, or event about which data will be collected and stored.

    Entity

  • 35

    It is a characteristic of an entity.

    Attribute

  • 36

    It describes an association among entities.

    Relationship

  • 37

    It is the conceptual organization of the entire database as viewed by the database administrator

    Schema

  • 38

    It defines the portion of the database by the application programs that actually produce the desired information from the data in the database

    Subschema

  • 39

    It allows the database administrator to define the schema components.

    Data Definition Language (DDL)

  • 40

    It refer to the amounts of data being stored.

    Volume

  • 41

    It refers not only to the speed with which data grows but also to the need to process this data quickly in order to generate information and insight.

    Velocity

  • 42

    It refers to the fact that the data being collected comes in multiple different data formats.

    Variety

  • 43

    It is the end user's view of the data environment.

    External Model

  • 44

    It represents a global view of the entire database by the entire organization.

    Conceptual Model

  • 45

    It is the representation of the database as "seen" by the DBMS.

    Internal Model