A+B) =>as well as other metrics that provide deeper insight into usage patterns so we can adapt the game to target users. environment that provides autoscaling, low latency load balancing, and frees us up from managing physical servers.

Final Decision to go with Option AB

I do not understand B. what does it mean begin packaging? either implemented or not implemented, begin has no value today or in the future. A and E has they use Linux today.

Cloud future prove mean container and CI/CD 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. Most Voted C. Set up a CI/CD pipeline using Jenkins and Spinnaker to automate canary deployments and improve development velocity.

B & C - C beause: "Mountkirk Games wants to design their solution for the future in order to take advantage of cloud and technology improvements as they become available". Spinnaker makes it easy to use new features as they become available: https://console.cloud.google.com/marketplace/product/google-cloud-platform/spinnaker?pli=1 - Pre-integrated with Google Cloud Platform Spinnaker for Google Cloud Platform is pre-configured to work with GCP products like Cloud Build, Compute Engine, App Engine, Google Kubernetes Engine, and Stackdriver.

I can see why C & D are the given correct answers. They objectively allow you to quickly incorporate tech improvements. A. Would help with possible machine learning models in the future. B. Makes use of an existing technology D. Makes use of an existing technology I chose A & E but I think C & E probably what Google are after.

B+C looks promising

Future is the key word.

Higher velocity (C) = adopt new features fast. A bodes well with the statement that they are missing a lot of data/insights.

This is annoying A, B and C seem correct.......... But only two......?

In a GCP exam, non GCP products(as per C) is rarely the correct answer!

A = ML = future stuff B = containers = portability (since current platform runs on VM's)

In technical and business requirement of the case study it mentioned about Analytics, not machine learning. So A seems not a correct answer here. D is very generic as OS upgrade and patches could be done outside GCP. I would go with B and C.

Answer AB Cloud Build is the Google Solution for CI/CD than other third party sofware can't be used for CI/CD in a certification examen.

A&B is correct rest of the improvements can be made without being on a cloud platform as well.

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. Storing as much data as possible will allow Mountkirk Games to use machine learning models to analyze and predict user behavior, which can help them adapt the game to target users and improve the user experience. 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. Containerization allows Mountkirk Games to package their game backend and dependencies into a single unit that can be easily deployed and run on any platform. By using Google Kubernetes Engine (GKE), Mountkirk Games can take advantage of GKE's autoscaling and load balancing features to ensure that their game backend can scale up or down based on game activity. This will help Mountkirk Games improve uptime and reduce latency to all customers, as well as increase the efficiency of their cloud resources.

A, B is the correct answer