Free Google Professional-Cloud-Architect Exam Questions

You are a cloud architect for a large-scale company that is transitioning its monolithic applications to a microservices-based architecture on Google Cloud. You have been tasked with recommending an optimal strategy for deploying, managing, and scaling these microservices. Which of the following approaches would be most effective?

You have a Compute Engine managed instance group that adds and removes Compute Engine instances from the group in response to the load on your application. The instances have a shutdown script that removes REDIS database entries associated with the instance. You see that many database entries have not been removed, and you suspect that the shutdown script is the problem. You need to ensure that the commands in the shutdown script are run reliably every time an instance is shut down. You create a Cloud Function to remove the database entries. What should you do next?

A company is planning to deploy a new e-commerce application on Google Cloud Platform (GCP) that will handle high volumes of traffic during peak periods. The application will be deployed in multiple regions to provide low latency and high availability to customers globally. Which of the following options would be the most effective approach to handle traffic spikes and ensure that the application can scale dynamically to meet demand?

Your company is developing a mobile game application that is expected to have millions of users worldwide. The application needs to read and write user data quickly with low latency, and the data model is fairly simple. As the cloud architect, you have been tasked with choosing the most suitable NoSQL database for this requirement. Which of the following would be the most appropriate choice?

A motor company has launched a smart helmet that detects and reports accidents immediately. Each helmet has the capability to send 10 kb of biometric data in JSON format, collect biometric data from different platforms every second, process that data into a machine learning model, predict and detect if an accident has occurred, and send a notification. The main task for company developers is to architect a platform that matches up with the following requirements: • Real-time analyses of biometric data • The biometric data should be highly flexible and aligned • In the future, the service should be more efficient in accident detection and prepare proper remedies for it Which of the following architectures should you recommend for the above requirements?