Which best explains why many organizations want computer programs that are adaptable to different computing platforms?(1 point) Responses lower maintenance costs, better user experience, and higher agility lower maintenance costs, better user experience, and higher agility able to switch between platforms with no negative impact on user experience able to switch between platforms with no negative impact on user experience not important to most companies not important to most companies maintenance costs are lower across a single platform

9 answers

The option that best explains why many organizations want computer programs that are adaptable to different computing platforms is: "able to switch between platforms with no negative impact on user experience."

This option highlights the importance of flexibility and usability across various computing environments, which is crucial for organizations that may use different platforms or devices.

Why were different devices developed over time?(1 point) Responses to use different software to use different software experiment with new platforms experiment with new platforms computing and technological advances computing and technological advances to integrate connectivity in new devices

The best response to explain why different devices were developed over time is: "computing and technological advances."

This option recognizes that as technology evolved, new devices were created to leverage advancements, improve functionality, and meet changing user needs.

What determines if a program is scalable?(1 point) Responses memory storage memory storage accessible libraries accessible libraries stability during changes, upgrades, overhauls, and resource reduction stability during changes, upgrades, overhauls, and resource reduction having the ability to be downloaded to different platforms

The best response to determine if a program is scalable is: "stability during changes, upgrades, overhauls, and resource reduction."

Scalability refers to a program's ability to handle increased loads or to be adjusted (upgraded or downgraded) effectively without losing performance or stability. This option captures the essence of scalability clearly.

What is the difference between a single platform and a dynamic adaptive platform?(1 point) Responses On a single platform, a device only functions in one type of environment like on the cloud or hardware whereas a dynamic adaptive platform can be downloaded from the cloud, or installed on hardware, or accessed remotely via mobile. On a single platform, a device only functions in one type of environment like on the cloud or hardware whereas a dynamic adaptive platform can be downloaded from the cloud, or installed on hardware, or accessed remotely via mobile. Single platforms exclusively make use of networking tools. Single platforms exclusively make use of networking tools. Single and dynamic platforms are the same, so there is no difference. Single and dynamic platforms are the same, so there is no difference. All programs that make use of the internet devices are dynamic.

The best response to explain the difference between a single platform and a dynamic adaptive platform is: "On a single platform, a device only functions in one type of environment like on the cloud or hardware whereas a dynamic adaptive platform can be downloaded from the cloud, or installed on hardware, or accessed remotely via mobile."

This option accurately describes how single platforms have limited functionality compared to dynamic adaptive platforms, which can function across various environments and access methods.

How does the concept “garbage collector” affect a program’s scalability?(1 point) Responses The “garbage collector” (or memory management) idea is not a valid concept. The “garbage collector” (or memory management) idea is not a valid concept. A good garbage collector frees up more memory so programs can transition effortlessly into other platforms. A good garbage collector frees up more memory so programs can transition effortlessly into other platforms. Memory management does not impact scalability. Memory management does not impact scalability. The concept of scalability is itself invalid.

The best response regarding how the concept of a "garbage collector" affects a program's scalability is: "A good garbage collector frees up more memory so programs can transition effortlessly into other platforms."

This option highlights that effective memory management through garbage collection can help programs use memory resources more efficiently, contributing to better scalability as the program can handle more operations or workload without running into memory limitations.