WGU D322 Intro to IT Exam Questions with 100% Correct Answers | Latest Version - Verified

WGU D322 Intro to IT Exam Questions with 100% Correct Answers | Latest Version - Verified
Information Technology
The technology used in creating, maintaining, and making information accessible.
IT Professional Roles
ministration and Support
System ministrator
responsible for providing technical support for hardware and software issues end users encounter, such
as log-in issues
Network ministrator
is responsible for designing, planning, setting up, and maintaining an organization's network
Database ministrator
is responsible for installing and configuring databases. This position also fixes database errors and
creates user accounts.
Security ministrator
is responsible for installing, ministering, and troubleshooting network security issues
Web ministrator
is responsible for troubleshooting error messages employees encounter when attempting to access their
organization's website. The web ministrator is also responsible for tracking, compiling, and analyzing
website usage data. This role reports security breaches to appropriate personnel.
Support IT Professionals
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)
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.
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 me
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
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 dress, and phone number. In dition,
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
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 ahe 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 b data
*Duplicate data: Two or more identical records

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