Google Cloud Professional Cloud Architect PCA — Question 286

• AStore as much analytics and game activity data as financially feasible today so it can be used to train machine learning models to predict user behavior in the future.
• BBegin packaging their game backend artifacts in container images and running them on Google Kubernetes Engine to improve the ability to scale up or down based on game activity.
• CSet up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
• DAdopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
• EImplement a weekly rolling maintenance process for the Linux virtual machines so they can apply critical kernel patches and package updates and reduce the risk of 0-day vulnerabilities.

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