Google Professional-Cloud-Architect

Introductory Info Company overview -

Mountkirk Games makes online, session-based, multiplayer games for mobile platforms. They have recently started expanding to other platforms after successfully migrating their on-premises environments to Google Cloud.

Their most recent endeavor is to create a retro-style first-person shooter (FPS) game that allows hundreds of simultaneous players to join a geo-specific digital arena from multiple platforms and locations. A real-time digital banner will display a global leaderboard of all the top players across every active arena.

Solution concept -

Mountkirk Games is building a new multiplayer game that they expect to be very popular. They plan to deploy the game's backend on Google Kubernetes Engine so they can scale rapidly and use Google's global load balancer to route players to the closest regional game arenas. In order to keep the global leader board in sync, they plan to use a multi-region Spanner cluster.

Existing technical environment -

The existing environment was recently migrated to Google Cloud, and five games came across using lift-and-shift virtual machine migrations, with a few minor exceptions. Each new game exists in an isolated Google Cloud project nested below a folder that maintains most of the permissions and network policies. Legacy games with low traffic have been consolidated into a single project. There are also separate environments for development and testing.

Business requirements -

Support multiple gaming platforms.

Support multiple regions.

Support rapid iteration of game features.

Minimize latency.

Optimize for dynamic scaling.

Use managed services and pooled resources.

Minimize costs.

Technical requirements -

Dynamically scale based on game activity.

Publish scoring data on a near real-time global leaderboard.

Store game activity logs in structured files for future analysis.

Use GPU processing to render graphics server-side for multi-platform support.

Support eventual migration of legacy games to this new platform.

Executive statement -

Our last game was the first time we used Google Cloud, and it was a tremendous success. We were able to analyze player behavior and game telemetry in ways that we never could before. This success allowed us to bet on a full migration to the cloud and to start building all-new games using cloud-native design principles.

Our new game is our most ambitious to date and will open up doors for us to support more gaming platforms beyond mobile. Latency is our top priority, although cost management is the next most important challenge. As with our first cloud-based game, we have grown to expect the cloud to enable advanced analytics capabilities so we can rapidly iterate on our deployments of bug fixes and new functionality. Question Mountkirk Games wants you to secure the connectivity from the new gaming application platform to Google Cloud. You want to streamline the process and follow

Google-recommended practices. What should you do?

Your company has a service that needs to run on a fleet of identical instances and scales according to traffic patterns. You are tasked with setting up a Managed Instance Group (MIG) on Google Cloud Platform. The instances are created from an instance template and a startup script, which fetches the latest version of the application code from a Cloud Storage bucket every time an instance starts. However, your company wants to avoid any potential downtime when deploying updates to the application. Which strategy should you recommend?

Your organization has a mission-critical application running on Google Kubernetes Engine (GKE). You have to push frequent updates to this application without causing any downtime or disrupting the user experience. As a cloud architect, which deployment strategy would you recommend?

You are tasked with building an online analytical processing (OLAP) marketing analytics and reporting tool. This requires a relational database that can operate on hundreds of terabytes of data. What is the Google-recommended tool for such applications?

As a cloud architect, you work for a courier company that delivers packages all over the world. You are responsible for preparing a system that will track the location of packages. This solution must be scalable and ensure high consistency. Your data storage solution must also support SQL queries. Which GCP service should you recommend?