MIDTERM-IT 313

PART 3

MIDTERM-IT 313
58問 • 1年前PART 3
  • Jamaica Rose Gilo
  • 通報

    問題一覧

  • 1

    method used to visualize and map out the steps involved in business processes

    BPM

  • 2

    provides a clear understanding on how tasks are performed within an organization

    BPM

  • 3

    serves as a foundation for identifying inefficiencies and potential improvements in business process

    BPM

  • 4

    redesigning business processes to achieve dramatic improvements in performance

    BPR

  • 5

    rethinking the entire process from the ground up

    BPR

  • 6

    use of technology to automate repetitive, manual tasks within a business process

    BPA

  • 7

    improve process efficiency, reduce human error and allows employees to focus on more strategic activities

    BPA

  • 8

    shared values, beliefs, norms and practices that define an organization's identity and shape it's behavior

    Organizational Culture

  • 9

    collaborative, family-like

    Clan Culture

  • 10

    innovative, dynamic

    Adhocracy Culture

  • 11

    competitive, result-driven

    Market Culture

  • 12

    bureaucratic, structured

    Hierarchy Culture

  • 13

    innovative, knowledge-sharing

    Learning Culture

  • 14

    subset of organizational culture focusing on the cultural aspects specific to for-profit businesses

    Corporate Culture

  • 15

    encompasses the values, norms and practices that define the company's identity and guide it's bahavior

    Corporate Culture

  • 16

    robust code of conduct, paired with mandatory training on ethical behavior and decision making

    Code of Conduct and Ethical Training

  • 17

    provides employees with clear guidelines on how to handle complex situations

    Code of Conduct and Ethical Training

  • 18

    establishing these encourages employees to voice concerns about unethical practices with fear of retaliation

    Ethics Committees and Reporting Mechanisms

  • 19

    regular audits and reviews of organizational processes

    Compliance Monitoring

  • 20

    help ensure that the company meets legal and regulatory standards

    Compliance Monitoring

  • 21

    central repository where businesses store and manage vast amounts of data from various sources for the purpose of analysis and reporting

    Data Warehouse

  • 22

    acts as a single source of truth

    Data Warehouse

  • 23

    allows businesses to gain valuable insights into their operations, customer behavior and market trends

    Data Warehouse

  • 24

    Primary Purpose:support BI(business intelligence) activitiea

    Data Warehouse

  • 25

    blueprint that outlines the structure and components of a data warehouse system

    Data Warehouse Architecture

  • 26

    defines how data flows from various sources

    Data Warehouse Architecture

  • 27

    consists of several key layers

    Data Warehouse Architecture

  • 28

    fundamental process in data warehousing

    ETL

  • 29

    bridge between operational systems and the data warehouse

    ETL

  • 30

    provides valuable information for analysis and decision-making

    Data Sources

  • 31

    these sources can be broadly categorized as internal and external sources

    Data Sources

  • 32

    within the organization and typically represent operational data

    Internal Data Sources

  • 33

    outside the organization and offer valuable insights into market trends, etc.

    External Data Sources

  • 34

    combining data from multiple sources to as single unified view

    Data Integration

  • 35

    tackles the challenge of managing data scattered across various systems, formats and locations

    Data Integration

  • 36

    6 Techniques of Data Integration

    ETL, ELT, Data Virtualization, Data Federation, Data Propagation, Middleware Integration

  • 37

    traditional and widely-used data integration approach

    ETL

  • 38

    batch processing

    ETL

  • 39

    data consolidation historical analysis and BI applications

    ETL

  • 40

    loading data into target system before transforming it

    ELT

  • 41

    leverages the processing power of the target system(large datasets)

    ELT

  • 42

    for big data scenarios

    ELT

  • 43

    creates unified data layer that presents a single view of data from multiple sources

    Data Virtualization

  • 44

    users can access and manipulate data as if it were stored in a single location(simplify DI and reduce redundancy)

    Data Virtualization

  • 45

    ideal for real-time data access(users to query and analyze data on demand)

    Data Virtualization

  • 46

    allows users to query and analyze data from multiple sources as if in a single database

    Data Federation

  • 47

    relies on metadata and data virtualization techniques

    Data Federation

  • 48

    useful for large volumes of data or when real-time access to data is required

    Data Federation

  • 49

    transferring data from a central repository to different data marts

    Data Propagation

  • 50

    bridge between different systems facilitating seamless data exchange and communication

    Middleware Integration

  • 51

    2 Examples of Data Propagation

    EAI, EDR

  • 52

    4 Examples of Middleware Integration

    MOM, SOA, ESB, APIs

  • 53

    4 Data Security in Data Warehouses

    Data Encryption, Access Control, Auditing and Monitoring Activities, Regular Security Updates

  • 54

    use execution plans to identify slow running queries and analyze their performance

    SQL Analysis

  • 55

    st9re the results of frequently executed queries to avoid redundant calculations

    Result Caching

  • 56

    cache frequently accessed tables/data sets in memory to speed up access times

    Data Caching

  • 57

    ensures data in the data warehouse is correct, complete and consistent (if not, reports are unreliable)

    Data Quality Management

  • 58

    2 Techniques Used To Maintain High Data Quality

    Validation Checks, Regular Reviews

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    MIDTERM-IT 313

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    MIDTERM-APPDEV 3 CHAPTER 4

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    Mga MALI mo!

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    INFO. ASSURANCE &SECURITY

    INFO. ASSURANCE &SECURITY

    Jamaica Rose Gilo · 100問 · 1年前

    INFO. ASSURANCE &SECURITY

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    100問 • 1年前
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    INFO. ASSURANCE & SECURITY

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    Jamaica Rose Gilo · 33問 · 1年前

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    33問 • 1年前
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    3 BRANCHES OF THE PHIL. GOVERNMENT

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    Jamaica Rose Gilo · 20問 · 1年前

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    20問 • 1年前
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    ENVIRONMENTAL MANAGEMENT AND PROTECTION

    ENVIRONMENTAL MANAGEMENT AND PROTECTION

    Jamaica Rose Gilo · 16問 · 1年前

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    ENVIRONMENTAL MANAGEMENT AND PROTECTION

    16問 • 1年前
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    ARTICLE VI-1987 CONST.

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    ARTICLE 1-NATIONAL TERRITORY

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    Jamaica Rose Gilo · 10問 · 1年前

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    ARTICLE II-DECLARATION FOR PRINCIPLES AND STATE POLICIES

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    Jamaica Rose Gilo · 11問 · 1年前

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    ARTICLE III

    ARTICLE III

    Jamaica Rose Gilo · 6問 · 1年前

    ARTICLE III

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    BILL OF RIGHTS

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    Jamaica Rose Gilo · 20問 · 1年前

    BILL OF RIGHTS

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    PEACE & HUMAN RIGHTS ISSUES AND CONCEPTS

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    Jamaica Rose Gilo · 8問 · 1年前

    PEACE & HUMAN RIGHTS ISSUES AND CONCEPTS

    PEACE & HUMAN RIGHTS ISSUES AND CONCEPTS

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    RA 6713

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    RA 6713

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    MATH PROBLEMS AND BASIC OPERATIONS

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    Jamaica Rose Gilo · 62問 · 1年前

    MATH PROBLEMS AND BASIC OPERATIONS

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    62問 • 1年前
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    NUMBER SERIES

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    Jamaica Rose Gilo · 20問 · 1年前

    NUMBER SERIES

    NUMBER SERIES

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    INFO. ASS. & SEC. 2

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    Jamaica Rose Gilo · 51問 · 1年前

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    GAME DEV

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    GAME DEV

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    58問 • 1年前
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    問題一覧

  • 1

    method used to visualize and map out the steps involved in business processes

    BPM

  • 2

    provides a clear understanding on how tasks are performed within an organization

    BPM

  • 3

    serves as a foundation for identifying inefficiencies and potential improvements in business process

    BPM

  • 4

    redesigning business processes to achieve dramatic improvements in performance

    BPR

  • 5

    rethinking the entire process from the ground up

    BPR

  • 6

    use of technology to automate repetitive, manual tasks within a business process

    BPA

  • 7

    improve process efficiency, reduce human error and allows employees to focus on more strategic activities

    BPA

  • 8

    shared values, beliefs, norms and practices that define an organization's identity and shape it's behavior

    Organizational Culture

  • 9

    collaborative, family-like

    Clan Culture

  • 10

    innovative, dynamic

    Adhocracy Culture

  • 11

    competitive, result-driven

    Market Culture

  • 12

    bureaucratic, structured

    Hierarchy Culture

  • 13

    innovative, knowledge-sharing

    Learning Culture

  • 14

    subset of organizational culture focusing on the cultural aspects specific to for-profit businesses

    Corporate Culture

  • 15

    encompasses the values, norms and practices that define the company's identity and guide it's bahavior

    Corporate Culture

  • 16

    robust code of conduct, paired with mandatory training on ethical behavior and decision making

    Code of Conduct and Ethical Training

  • 17

    provides employees with clear guidelines on how to handle complex situations

    Code of Conduct and Ethical Training

  • 18

    establishing these encourages employees to voice concerns about unethical practices with fear of retaliation

    Ethics Committees and Reporting Mechanisms

  • 19

    regular audits and reviews of organizational processes

    Compliance Monitoring

  • 20

    help ensure that the company meets legal and regulatory standards

    Compliance Monitoring

  • 21

    central repository where businesses store and manage vast amounts of data from various sources for the purpose of analysis and reporting

    Data Warehouse

  • 22

    acts as a single source of truth

    Data Warehouse

  • 23

    allows businesses to gain valuable insights into their operations, customer behavior and market trends

    Data Warehouse

  • 24

    Primary Purpose:support BI(business intelligence) activitiea

    Data Warehouse

  • 25

    blueprint that outlines the structure and components of a data warehouse system

    Data Warehouse Architecture

  • 26

    defines how data flows from various sources

    Data Warehouse Architecture

  • 27

    consists of several key layers

    Data Warehouse Architecture

  • 28

    fundamental process in data warehousing

    ETL

  • 29

    bridge between operational systems and the data warehouse

    ETL

  • 30

    provides valuable information for analysis and decision-making

    Data Sources

  • 31

    these sources can be broadly categorized as internal and external sources

    Data Sources

  • 32

    within the organization and typically represent operational data

    Internal Data Sources

  • 33

    outside the organization and offer valuable insights into market trends, etc.

    External Data Sources

  • 34

    combining data from multiple sources to as single unified view

    Data Integration

  • 35

    tackles the challenge of managing data scattered across various systems, formats and locations

    Data Integration

  • 36

    6 Techniques of Data Integration

    ETL, ELT, Data Virtualization, Data Federation, Data Propagation, Middleware Integration

  • 37

    traditional and widely-used data integration approach

    ETL

  • 38

    batch processing

    ETL

  • 39

    data consolidation historical analysis and BI applications

    ETL

  • 40

    loading data into target system before transforming it

    ELT

  • 41

    leverages the processing power of the target system(large datasets)

    ELT

  • 42

    for big data scenarios

    ELT

  • 43

    creates unified data layer that presents a single view of data from multiple sources

    Data Virtualization

  • 44

    users can access and manipulate data as if it were stored in a single location(simplify DI and reduce redundancy)

    Data Virtualization

  • 45

    ideal for real-time data access(users to query and analyze data on demand)

    Data Virtualization

  • 46

    allows users to query and analyze data from multiple sources as if in a single database

    Data Federation

  • 47

    relies on metadata and data virtualization techniques

    Data Federation

  • 48

    useful for large volumes of data or when real-time access to data is required

    Data Federation

  • 49

    transferring data from a central repository to different data marts

    Data Propagation

  • 50

    bridge between different systems facilitating seamless data exchange and communication

    Middleware Integration

  • 51

    2 Examples of Data Propagation

    EAI, EDR

  • 52

    4 Examples of Middleware Integration

    MOM, SOA, ESB, APIs

  • 53

    4 Data Security in Data Warehouses

    Data Encryption, Access Control, Auditing and Monitoring Activities, Regular Security Updates

  • 54

    use execution plans to identify slow running queries and analyze their performance

    SQL Analysis

  • 55

    st9re the results of frequently executed queries to avoid redundant calculations

    Result Caching

  • 56

    cache frequently accessed tables/data sets in memory to speed up access times

    Data Caching

  • 57

    ensures data in the data warehouse is correct, complete and consistent (if not, reports are unreliable)

    Data Quality Management

  • 58

    2 Techniques Used To Maintain High Data Quality

    Validation Checks, Regular Reviews