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3. Use of communications and information systems that are familiar to users is a part of which key principle? A. Reliability, Scalability, and Portability B. Resilience and Redundancy C. Interoperability D. Security

Ask by Nunez Parsons. in the United States
Feb 26,2025

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The use of familiar communications and information systems is part of **Interoperability**.

Solución

The use of communications and information systems that are familiar to users is a part of the key principle of: **C. Interoperability** Interoperability refers to the ability of different systems, devices, or applications to work together and communicate effectively. Familiarity with these systems enhances user experience and ensures that users can effectively interact with the technology.

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Beyond the Answer

The use of communications and information systems that users are already familiar with is all about making technology accessible and intuitive. When users can easily navigate systems without a steep learning curve, it enhances productivity and reduces frustration. This principle emphasizes that integrating familiar tools can create a smoother transition and better user experience. In real-world scenarios, this principle plays a significant role in training and onboarding processes within organizations. For example, if employees are used to certain software interfaces or communication platforms, introducing similar systems can lead to quicker adoption and less downtime, ultimately improving overall efficiency and engagement.

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For each of the following recurrence relations, pick the correct asymptotic runtime: (a) [5 points] Select the correct asymptotic complexity of an algorithm with runtim \( T(n, n) \) where \[ \begin{aligned} T(x, c) & =\Theta(x) & & \text { for } c \leq 2 \\ T(c, y) & =\Theta(y) & & \text { for } c \leq 2, \text { and } \\ T(x, y) & =\Theta(x+y)+T(x / 2, y / 2) & & \end{aligned} \] 1. \( \Theta(\log n) \). 2. \( \Theta(n) \). 3. \( \Theta(n \log n) \). 4. \( \Theta\left(n \log ^{2} n\right) \). 5. \( \Theta\left(n^{2}\right) \). 6. \( \Theta\left(2^{n}\right) \). (b) [5 points] Select the correct asymptotic complexity of an algorithm with runtim \( T(n, n) \) where \[ \begin{array}{ll} T(x, c)=\Theta(x) & \text { for } c \leq 2 \\ T(c, y)=\Theta(y) & \text { for } c \leq 2, \text { and } \\ T(x, y)=\Theta(x)+T(x, y / 2) & \end{array} \] 1. \( \Theta(\log n) \). 2. \( \Theta(n) \). 3. \( \Theta(n \log n) \). 4. \( \Theta\left(n \log ^{2} n\right) \). 5. \( \Theta\left(n^{2}\right) \). 6. \( \Theta\left(2^{n}\right) \). (c) [5 points] Select the correct asymptotic complexity of an algorithm with runtin \( T(n, n) \) where \[ \begin{array}{rlrl} T(x, c) & =\Theta(x) & \text { for } c \leq 2 \\ T(x, y) & =\Theta(x)+S(x, y / 2), & & \\ S(c, y) & =\Theta(y) & \text { for } c \leq 2, \text { and } \\ S(x, y) & =\Theta(y)+T(x / 2, y) & \end{array} \] 1. \( \Theta(\log n) \). 2. \( \Theta(n) \). 3. \( \Theta(n \log n) \). 4. \( \Theta\left(n \log ^{2} n\right) \). 5. \( \Theta\left(n^{2}\right) \).

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