ITEC79 QUIZ Flashcards

1
Q

Data Warehousing involves three types of data:

A

Run-the-Business Data
Integrate-the-Business Data
Monitor-the-Business Data

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2
Q

Produced by corporate applications, such as the one used to fill customer orders for its products or the one used to manage financial transactions.

A

Run-the-Business Data

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3
Q

built to improve the quality of and synchronize two or more applications, such as a master list of customers.

A

Integrate-the-Business Data

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4
Q

presented to end users for reporting and decision support, such as financial dashboards.

A

Monitor-the-Business Data

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5
Q

is an organized collection of data presented in a specific and meaningful way

A

Information

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6
Q

it encompasses the familiarity, awareness, understanding, and perceptions of a person about a given subject

A

Knowledge

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7
Q

is the process of doing something; effective action is the process of doing the right thing

A

Action

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8
Q

is a subject-oriented, integrated, non- volatile, time-variant collection of data in support of management’s decisions.

A

Data Warehouse

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9
Q

refers to de-duplicating information and merging it from many sources into one consistent definition (e.g., when short listing the top banks in the country, you must know that “BPI” and “Bank of the Philippine Islands” are one and the same.

A

Integrated data

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10
Q

refers to de-duplicating information and merging it from many sources into one consistent definition (e.g., when short listing the top banks in the country, you must know that “BPI” and “Bank of the Philippine Islands” are one and the same.

A

Integrated data

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11
Q

essentially refers to its time-valued characteristic (e.g., what were the total sales of Product A for the past three years).

A

Time Reference Data

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12
Q

is a powerful database model that significantly enhances the user’s ability to quickly analyze large, multidimensional data sets. It cleanses and organizes data to allow users to make business decisions based on facts.

A

Data Warehouse

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13
Q

is a collection of integrated, subject oriented databases designed to support the decision support function where each unit of data is relevant to some moment of time.

A

Data Warehouse

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14
Q

is a repository of data summarized or aggregated in simplified form from operational systems. End-user orientated data access and reporting tools let user get at the data for decision support.

A

Data Warehouse

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15
Q

Is a way of storing data and creating information through leveraging data marts.

A

Data Warehousing

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16
Q

are segments or categories of information and/or data that are grouped together to provide insights into that segment or category.

A

Data Marts

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17
Q

It does not require business intelligence to work. Reporting tools can generate reports from the data warehouse.

A

Data Warehouse

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18
Q

is the leveraging of a data warehouse to help make business decisions and recommendations.

A

Business Analytics

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19
Q

A System that keeps track of an organization’s daily transactions and updates the warehouse at periodic intervals

A

On-line Transaction Processing

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20
Q

This system can be used for payroll that calculates the employee salaries and manages payment records

A

On-line Transaction Processing

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21
Q

it enables end-users to perform ad-hoc analysis of data in multiple dimensions, thereby providing the insight and understanding they need for better decision making.

A

On-line Analytical Processing

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22
Q

it can be legacy data sources, ERP’s, simple flat files to complex SAP sources, or COBOL sources or other data sources like RDBMS, AS/400, web application data, etc.

A

Source System

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23
Q

It is object oriented, integrated, volatile, current value data store containing only corporate detailed data.

A

Operational Data

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24
Q

It is also required to hold s subset of the source for data profiling activities.

A

Staging Area

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25
It is defined as standardizing and consolidating customer and/or business data.
Data Quality
26
It is set of software design patterns used to determine the data that has changed in a database so that action can be taken on the changed data.
Change Data Capture
27
It is a process to access current data conditions, or to monitor data quality over time
Profile the data
28
It transform different input formats into a consolidated output format.
Standardize the data
29
It is a body of decision-support data for a department that has an architectural foundation of a data warehouse.
Data Mart
30
allow end users to get at operational databases directly; it provides the ultimate in flexibility as well as the minimum amount of redundant data that must be loaded and maintained.
Virtual data warehouse
31
These are single physical databases that contains all data for a specific functional area, department, division, or enterprise.
Central data warehouse
32
are those in which certain components are distributed across a number of different physical databases.
Distributed data warehouse
33
it may be as bored as all the informational data for the entire enterprise from the beginning of time, or it may be as narrow as a personal data warehouse for a single manager for a single year.
Scope
34
With accurate data, users lose confidence in the data and make improper decisions. ( true/false )
false
35
Data can be move to either operational data store, data warehouse, or data marts. ( true/false )
true
36
Is a structured approach used to identify major components of an information system's specifications?
Data Modeling
37
Is the process used to analyze the data, identify the relationships, and, ultimately, create the data model
Data Modeling
38
Is the specification of data structures and business rules to represent business requirements?
Data Model
39
Is a structured business view of the data required to support current business processes, business events, and related performance measures?
Conceptual Data Model (CDM)
40
It is a single integrated data structure which reflects the structure of business functions rather than the processing flow or the physical arrangement of data
Conceptual Data Model (CDM)
41
Builds upon the business requirements and includes a further level of detail that supports both the business and system requirements?
Logical Data Model (LDM)
42
Includes more specific entities and attributes, business rules, and relationships?
Logical Data Model (LDM)
43
Is specific to the software and performance constraints of the specific database management system to be used in the implementation?
Physical Data Model (PDM)
44
Both software and data storage structures are considered and the model is often modified to meet performance or physical constraints
Physical Data Model
45
Includes tables and columns, physical database objects, and referential integrity rules?
Physical Data Model (PDM)
46
Is a logical design technique for structuring data so that it's intuitive to business users and delivers fast query performance?
Dimensional Modeling
47
is widely accepted as the preferred approach for data warehouse presentation.
Dimensional Modeling
48
Is a design technique that seeks to eliminate data redundancies?
Normalized Modeling
49
Divides the world into measurements and context?
Dimensional Modeling
50
Are captured by the organization's business processes and their supporting operational source systems?
Measurements (Facts)
51
Measurements are usually numeric values; we refer to them as
Facts
52
This context is intuitively divided into independent logical clumps called
Dimensions
53
Describe the 'who, what, when, where, why, and how' context of the measurement?
Dimensions
54
Is the business definition of the measurement event that produces the fact row?
Fact Table's Grain (Granularity)
55
The dimensions describe the
Facts
56
Serve as the Key Performance Indicators (KPI) of the organization?
Facts
57
Provide descriptive information about the fact and are composed of attributes used for filtering or labeling data within data warehouse queries?
Dimensions
58
Dimensions are composed of attributes which are used for filtering or labeling data within
Data warehouse quiries
59
Is the first step in the design process to determine the business process or measurement event to be modeled?
Choose the Business Process
60
Is the step where the design team must declare the grain of the fact table?
Declare the Grain
61
Is the step where the choice of dimensions is fairly straightforward once the grain of the fact table is firmly established?
Identify the Dimensions
62
Is the final step in the four-step design process to carefully select the facts or metrics that are applicable to the business process?
Identify the Facts
63
Is a single integrated data structure which reflects the structure of business functions rather than the processing flow or the physical arrangement of data?
Conceptual Data Model (CDM)
64
Includes foreign keys, alternate keys, and is independent of specific software and data storage structure?
Logical Data Model (LDM)
65
Includes physical database objects like triggers, stored procedures, and table spaces?
Physical Data Model (PDM)
66
Is immensely beneficial for transaction processing because it makes transaction loading and updating simple and fast?
Normalized Modeling
67
Is the purpose of dimensional modeling to improve performance by matching data structures to queries?
Dimensional Modeling