information systems section wgu c182 it Questions with complete solution 2024
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Course
WGU C182
Institution
WGU C182
information systems section wgu c182 it Questions with complete solution 2024 information systems section wgu c182 it
Knowledge
is a dynamic combination of experience, values, contextual information, expert insight, and grounded intuition that provides an environment and framework for evalua...
is a dynamic combination of experience, values, contextual information, expert
insight, and grounded intuition that provides an environment and framework
for evaluating and incorporating new experiences and information. It
originates and is applied in the minds of knowers. In organizations, it often
becomes embedded not only in documents and repositories but also in
organizational routines, processes, practices, and norms.
infrastructure as a service (IaaS)-if the client is responsible for licensing the
operating system and managing the back-end networking, it is considered
IaaS
The IaaS model provides access in a virtualized environment and the
computing resources are composed of virtualized hardware. This includes
things like network connections, virtual server space, and load balancers.
platform as a service (PaaS)-If the cloud service provider is responsible for
licensing the operating systems and back-end storage and networking, it is
considered PaaS.
In the PaaS model, customers have access to a platform that supports the
development and management of web applications. PaaS enables quicker
development lifecycles and reduced infrastructure requirements since the
majority of processing happens in the cloud rather than on local storage and
processor resources.
software as a service (SaaS)
, With the SaaS model, the software is licensed to customers with subscriptions
and central hosting. Some examples include Gmail, Google Docs, and
Microsoft Office 365.
data hygiene
refers to the processes of ensuring the cleanliness of data (i.e., that the data
is relatively error-free)
Dirty data
can be caused by things such as duplicate records, incomplete or outdated
data, and mistakes introduced as data is entered, stored, and managed.
Data quality
is crucial to operational and transactional processes within an organization
and to the reliability of analytical reporting.
Data scrubbing
s the process of amending or removing data in a database that is incorrect,
incomplete, improperly formatted, or duplicated. Typically, the process
involves updating, standardizing, and de-duplicating records to create a single
view of the data, even if it is stored in multiple systems.
big data
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