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Question

Refer to the Mountkirk Games case study for this question. Mountkirk Games wants to future-proof its solution so it can benefit from cloud and technology improvements as they become available. Which two actions should it take?

Choose two

A Store 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.
B Begin 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.
C Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.
D Adopt a schema versioning tool to reduce downtime when adding new game features that require storing additional player data in the database.
E Implement 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.

Explanation

Future-proofing means positioning to exploit future cloud and technology improvements. Storing as much analytics and game-activity data as is financially feasible now (A) preserves raw signal that can later train machine-learning models to predict user behavior once those capabilities are adopted. Packaging the game backend as container images on Google Kubernetes Engine (B) gives portable, elastically scalable workloads that readily absorb new platform features and scale with game activity. C (a fixed Jenkins/Spinnaker toolchain) and E (weekly manual VM patching) are point implementation choices that lock in specific tooling and legacy VM operations rather than future-proofing, and D (schema versioning) addresses deployment downtime, not benefiting from future cloud improvements.

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