Prepare for the CompTIA Cloud+ Certification with a comprehensive practice test. Test your knowledge on cloud architecture, deployment, security, and troubleshooting with detailed questions and answers. Enhance your readiness today!

Each practice test/flash card set has 50 randomly selected questions from a bank of over 500. You'll get a new set of questions each time!

Practice this question and more.


What are the two essential components that servers in high-performance computing clusters share to reduce network latency?

  1. Group cache

  2. Availability zone

  3. Identity group

  4. Hypervisor

The correct answer is: Availability zone

In high-performance computing (HPC) clusters, minimizing network latency is crucial for optimizing performance and ensuring efficient data processing. One of the key strategies for achieving this involves the use of an "availability zone." Availability zones are distinct physical locations within a cloud provider's infrastructure that are engineered to be isolated from failures in other zones. However, the term itself does not specifically address latency reduction between servers. Nonetheless, in the context of HPC, a more relevant aspect might involve various configurations that can lead to minimized latency. The choices presented include factors such as cache systems, identity management, and virtualization (hypervisors) which typically play roles in resource management and computing environments but do not inherently serve to reduce network latency in HPC directly. If focusing solely on availability zones, while they help in maintaining uptime and redundancy, for the purpose of reducing network latency specifically, the correct choice would rather emphasize components that directly enhance inter-server communication and data transfer within a shared environment, such as shared caching mechanisms or direct memory access technologies. Thus, while "availability zone" is a significant concept in cloud infrastructure and fault tolerance, for the specific purpose of latency reduction in HPC contexts, other terms that emphasize communication and caching technologies would be more applicable. In actual practice, to effectively