Question 48

This scenario represents platform diversity.

Using two different cloud solutions for storing student data demonstrates platform diversity, which refers to the use of multiple platforms or systems to achieve a goal, ensuring flexibility and reducing dependency on a single provider.

A) Load balancing

Load balancing refers to the distribution of workloads across multiple computing resources to ensure optimal resource use, minimize response time, and avoid overload on any single resource. This scenario does not illustrate load balancing, as it focuses on the use of different cloud solutions rather than distributing data across identical systems.

B) Parallel processing

Parallel processing involves the simultaneous execution of multiple processes or tasks to improve computational speed and efficiency. This scenario does not represent parallel processing, as it does not involve running tasks concurrently but rather utilizes different systems for data storage.

C) Platform diversity

Platform diversity is accurately represented by this scenario, as it highlights the university's choice to utilize two distinct cloud solutions for storing student data. This approach allows for improved resilience, flexibility, and potentially greater security by not relying solely on one platform.

D) Clustering

Clustering refers to a configuration where multiple servers or systems work together to function as a single system, often for redundancy or performance enhancement. In this case, using two different cloud solutions does not align with clustering, as it does not indicate a unified system but rather distinct platforms.

Conclusion

The scenario clearly exemplifies platform diversity, as it involves the use of multiple cloud solutions to manage student data. In contrast, all other options misrepresent the situation by focusing on concepts that do not apply to the use of different platforms, such as load balancing, parallel processing, and clustering.