1
WGU D322 EXAM LATEST UPDATES -2025/2026- ACTUAL
QUESTIONS WITH VERIFIED ANSWERS ALREADY GRADED A+
GUARANTEED SUCCESS
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.
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
Network Administrator
is responsible for designing, planning, setting up, and maintaining an
organization's network
Database Administrator
is responsible for installing and configuring databases. This position also fixes
database errors and creates user accounts.
Security Administrator
is responsible for installing, administering, and troubleshooting network security
issues
Web Administrator
is responsible for troubleshooting error messages employees 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.
Support IT Professionals
, 2
Help desk and training.
Information
collection of processed data from a variety of sources
DIKW Hierarchy
Defines the transition of data to information from knowledge to wisdom. (Data
Information Knowledge Wisdom)
.
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
Wisdom in DIKW
Provides a social setting to knowledge; an understanding of the "why". Can only
come by having both knowledge and experience.
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.
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
, 3
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
Structured data
is coded in a way that makes it easy to convert into a form usable for analysis.
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.
Unstructured data
refers to data that is more complex and possibly stored in a format that is not
easily decoded.
Examples of unstructured data
include data stored in text or video format, comments on a web page, text
messages, and videos of presentations or conferences.
To begin analyzing business processes
a business must first collect data from multiple platforms and portals.
Data in businesses comes from various activities like
sales and marketing, finance, customer service, and relationship management.
Companies store data in multiple systems like
customer relationship management (CRM) system and sales records, finance,
enterprise resource planning (ERP), and customer applications. each has data on
every customer
Data Hygiene
, 4
refers to the processes of ensuring the cleanliness of data (i.e., that the data is
relatively error-free)
Data scrubbing
the process of amending or removing data in a database that is incorrect,
incomplete, improperly formatted, or duplicated.
Quality data
defined as data that is precise, valid, reliable, timely, and complete.
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
workflows and reduce demands on labor
*Gather competitive information on product and pricing decisions to stay ahead
of competitors
*Make evidence-based decisions that utilize verifiable data to maximize profits
and efficiency
*Understand business value by exploiting rapid changes in information and
generating insights from diverse data sources to widen the competitive
differentiation gap
Types of bad data
*Duplicate data: Two or more identical records
*Conflicting data: The same records with differing attributes
*Incomplete data: Missing attributes
WGU D322 EXAM LATEST UPDATES -2025/2026- ACTUAL
QUESTIONS WITH VERIFIED ANSWERS ALREADY GRADED A+
GUARANTEED SUCCESS
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.
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
Network Administrator
is responsible for designing, planning, setting up, and maintaining an
organization's network
Database Administrator
is responsible for installing and configuring databases. This position also fixes
database errors and creates user accounts.
Security Administrator
is responsible for installing, administering, and troubleshooting network security
issues
Web Administrator
is responsible for troubleshooting error messages employees 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.
Support IT Professionals
, 2
Help desk and training.
Information
collection of processed data from a variety of sources
DIKW Hierarchy
Defines the transition of data to information from knowledge to wisdom. (Data
Information Knowledge Wisdom)
.
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
Wisdom in DIKW
Provides a social setting to knowledge; an understanding of the "why". Can only
come by having both knowledge and experience.
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.
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
, 3
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
Structured data
is coded in a way that makes it easy to convert into a form usable for analysis.
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.
Unstructured data
refers to data that is more complex and possibly stored in a format that is not
easily decoded.
Examples of unstructured data
include data stored in text or video format, comments on a web page, text
messages, and videos of presentations or conferences.
To begin analyzing business processes
a business must first collect data from multiple platforms and portals.
Data in businesses comes from various activities like
sales and marketing, finance, customer service, and relationship management.
Companies store data in multiple systems like
customer relationship management (CRM) system and sales records, finance,
enterprise resource planning (ERP), and customer applications. each has data on
every customer
Data Hygiene
, 4
refers to the processes of ensuring the cleanliness of data (i.e., that the data is
relatively error-free)
Data scrubbing
the process of amending or removing data in a database that is incorrect,
incomplete, improperly formatted, or duplicated.
Quality data
defined as data that is precise, valid, reliable, timely, and complete.
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
workflows and reduce demands on labor
*Gather competitive information on product and pricing decisions to stay ahead
of competitors
*Make evidence-based decisions that utilize verifiable data to maximize profits
and efficiency
*Understand business value by exploiting rapid changes in information and
generating insights from diverse data sources to widen the competitive
differentiation gap
Types of bad data
*Duplicate data: Two or more identical records
*Conflicting data: The same records with differing attributes
*Incomplete data: Missing attributes
