Which two actions will future-proof the solution to take advantage of cloud and technology improvements? (Choose two.)
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Correct answer: 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., 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..
Why this is the answer
Storing data for future ML models is a key strategy for future-proofing. As AI/ML technologies advance, having historical data allows for training more sophisticated models to predict user behavior, personalize experiences, and optimize game mechanics, directly leveraging future cloud improvements in AI. Containerizing applications and deploying them on Google Kubernetes Engine (GKE) future-proofs the solution by embracing cloud-native principles. This allows for flexible scaling, portability across environments, and easy adoption of future advancements in container orchestration, serverless containers, and microservices architectures, ensuring the backend can adapt to evolving demands and technologies. CI/CD pipelines, schema versioning, and VM maintenance are important for operational efficiency and stability but don't inherently "future-proof" in the same way as data accumulation for AI or containerization for architectural flexibility and scalability. They address current development and operational best practices rather than positioning the solution to leverage future technological shifts.
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