Google Professional Cloud Developer Question 16
Single answerGoogle Cloud PlatformYou are developing a real-time chat application that requires low latency, auto-scaling to handle unpredictable traffic spikes, and minimal operational overhead. Additionally, you want to focus solely on writing code without managing infrastructure. Which platform option should you choose to best meet these requirements?
- A
IaaS (Infrastructure as a Service)
- B
CaaS (Container as a Service)
- C
PaaS (Platform as a Service)
- D
FaaS (Function as a Service)
Show answer and explanation
Correct answer: D
Explanation
For a real-time chat application with unpredictable traffic spikes, low latency, and minimal operational overhead, FaaS (Function as a Service) is the best choice. It provides event-driven, auto-scaling compute capabilities and allows you to focus solely on writing code without managing infrastructure. Other options like IaaS, CaaS, and PaaS require varying levels of operational management, making them less suitable for this use case.
- A. Incorrect.
IaaS provides virtualized computing resources such as virtual machines, networks, and storage, but you must manage the operating system, middleware, runtime, and scaling yourself. This increases operational overhead and is not the best fit for a real-time application requiring minimal management.
- B. Incorrect.
CaaS allows you to deploy and manage containerized applications, but you are still responsible for managing the container orchestration platform (like Kubernetes) and scaling policies. This may not meet the requirement of minimal operational overhead.
- C. Incorrect.
PaaS provides an environment to develop, run, and manage applications without worrying about infrastructure. However, it may not provide the fine-grained auto-scaling and event-driven capabilities required for real-time, unpredictable traffic.
- D. Correct.
FaaS is an event-driven compute model where you can run your code in response to events without provisioning or managing servers. It scales automatically based on demand and has minimal operational overhead, making it ideal for real-time applications with unpredictable traffic.