WGU D322 Introduction to IT - Final Exam Review
Questions with 100% Verified Answers fully
revised 2025/2026
1. Information Technology: The technology used in creating, maintaining, and
making information accessible.
2. IT Professional Roles: Administration and Support
3. System Administrator: responsible for providing technical support for hardware
and software issues end users encounter, such as log-in issues
4. Network Administrator: is responsible for designing, planning, setting up, and
maintaining an organization's network
5. Database Administrator: is responsible for installing and configuring databases.
This position also fixes database errors and creates user accounts.
6. Security Administrator: is responsible for installing, administering, and trou-
bleshooting network security issues
7. Web Administrator: is responsible for troubleshooting error messages employ-
ees encounter when attempting to access their organization's website. The web
administrator is also responsible for tracking, compiling, and analyzing website
usage data. This role reports security breaches to appropriate personnel.
8. Support IT Professionals: Help desk and training.
9. Information: collection of processed data from a variety of sources
10. DIKW Hierarchy: Defines the transition of data to information from knowledge
to wisdom. (Data Information Knowledge Wisdom)
,11. Data in DIKW: The input directly received by the user (or computer). It is
generally not usable until it has been converted into a relevant form.
12. Information in DIKW: Having been inferred from data; one or more processes
have been applied to the data to transform it into a more useful form.
13. Knowledge in DIKW: Information that has been put to use; information placed
into a context. Refined information such that the user of the knowledge is able to call
forth only relevant portions of information when needed. KNOWING THR RIGHT
THING TO DO
14. Wisdom in DIKW: Provides a social setting to knowledge; an understanding of
the "why". Can only come by having both knowledge and experience.
15. Information Systems: A collection of data and information used to support the
management of an organization. Also refers to the technical components and human
resources that enable the assembly, storage, and processing of data and the delivery
of information. This has existed for a lot longer than computers.
16. Characteristics of Quality Data: Relevance - the data being used must apply
directly to the decision being made
Timely - data must be efficient and must be provided in a timely manner
,Thorough - the data must be complete
Accurate - data should be captured only once, where possible and should be
captured as close to the point of activity as possible.
Reliable - data should reflect stable and consistent data collection processes across
collections points and over time
17. Structured data: is coded in a way that makes it easy to convert into a form
usable for analysis.
18. Examples of structured data: contact information such as first name, last
name, email address, and phone number. In addition, quantitative fields like date
of birth, date of transaction, and the amount received or amount due are forms of
structured data.
19. Unstructured data: refers to data that is more complex and possibly stored in
a format that is not easily decoded.
20. Examples of unstructured data: include data stored in text or video format,
comments on a web page, text messages, and videos of presentations or confer-
ences.
21. To begin analyzing business processes: a business must first collect data
from multiple platforms and portals.
22. Data in businesses comes from various activities like: sales and marketing,
finance, customer service, and relationship management.
23. Companies store data in multiple systems like: customer relationship man-
agement (CRM) system and sales records, finance, enterprise resource planning
(ERP), and customer applications. each has data on every customer
24. Data Hygiene: refers to the processes of ensuring the cleanliness of data (i.e.,
, that the data is relatively error-free)
25. Data scrubbing: the process of amending or removing data in a database that
is incorrect, incomplete, improperly formatted, or duplicated.
26. Quality data: defined as data that is precise, valid, reliable, timely, and complete.
27. Good data enables businesses to do the following:: *Analyze the current
financial state of the organization in terms of net profits, revenues, cash flow, assets,
and liabilities
*Increase revenues through better targeting of products and increased customer
satisfaction
*Examine existing production processes to take corrective action, improve efficiency,
and lower costs
*Develop new, automated processes that integrate harmoniously into existing work-
flows and reduce demands on labor
Questions with 100% Verified Answers fully
revised 2025/2026
1. Information Technology: The technology used in creating, maintaining, and
making information accessible.
2. IT Professional Roles: Administration and Support
3. System Administrator: responsible for providing technical support for hardware
and software issues end users encounter, such as log-in issues
4. Network Administrator: is responsible for designing, planning, setting up, and
maintaining an organization's network
5. Database Administrator: is responsible for installing and configuring databases.
This position also fixes database errors and creates user accounts.
6. Security Administrator: is responsible for installing, administering, and trou-
bleshooting network security issues
7. Web Administrator: is responsible for troubleshooting error messages employ-
ees encounter when attempting to access their organization's website. The web
administrator is also responsible for tracking, compiling, and analyzing website
usage data. This role reports security breaches to appropriate personnel.
8. Support IT Professionals: Help desk and training.
9. Information: collection of processed data from a variety of sources
10. DIKW Hierarchy: Defines the transition of data to information from knowledge
to wisdom. (Data Information Knowledge Wisdom)
,11. Data in DIKW: The input directly received by the user (or computer). It is
generally not usable until it has been converted into a relevant form.
12. Information in DIKW: Having been inferred from data; one or more processes
have been applied to the data to transform it into a more useful form.
13. Knowledge in DIKW: Information that has been put to use; information placed
into a context. Refined information such that the user of the knowledge is able to call
forth only relevant portions of information when needed. KNOWING THR RIGHT
THING TO DO
14. Wisdom in DIKW: Provides a social setting to knowledge; an understanding of
the "why". Can only come by having both knowledge and experience.
15. Information Systems: A collection of data and information used to support the
management of an organization. Also refers to the technical components and human
resources that enable the assembly, storage, and processing of data and the delivery
of information. This has existed for a lot longer than computers.
16. Characteristics of Quality Data: Relevance - the data being used must apply
directly to the decision being made
Timely - data must be efficient and must be provided in a timely manner
,Thorough - the data must be complete
Accurate - data should be captured only once, where possible and should be
captured as close to the point of activity as possible.
Reliable - data should reflect stable and consistent data collection processes across
collections points and over time
17. Structured data: is coded in a way that makes it easy to convert into a form
usable for analysis.
18. Examples of structured data: contact information such as first name, last
name, email address, and phone number. In addition, quantitative fields like date
of birth, date of transaction, and the amount received or amount due are forms of
structured data.
19. Unstructured data: refers to data that is more complex and possibly stored in
a format that is not easily decoded.
20. Examples of unstructured data: include data stored in text or video format,
comments on a web page, text messages, and videos of presentations or confer-
ences.
21. To begin analyzing business processes: a business must first collect data
from multiple platforms and portals.
22. Data in businesses comes from various activities like: sales and marketing,
finance, customer service, and relationship management.
23. Companies store data in multiple systems like: customer relationship man-
agement (CRM) system and sales records, finance, enterprise resource planning
(ERP), and customer applications. each has data on every customer
24. Data Hygiene: refers to the processes of ensuring the cleanliness of data (i.e.,
, that the data is relatively error-free)
25. Data scrubbing: the process of amending or removing data in a database that
is incorrect, incomplete, improperly formatted, or duplicated.
26. Quality data: defined as data that is precise, valid, reliable, timely, and complete.
27. Good data enables businesses to do the following:: *Analyze the current
financial state of the organization in terms of net profits, revenues, cash flow, assets,
and liabilities
*Increase revenues through better targeting of products and increased customer
satisfaction
*Examine existing production processes to take corrective action, improve efficiency,
and lower costs
*Develop new, automated processes that integrate harmoniously into existing work-
flows and reduce demands on labor
