Your application images are built and pushed to Google Container Registry (GCR). You want to build an automated pipeline that deploys the application when the image is updated while minimizing the development effort. What should you do?

• A.Use Cloud Build to trigger a Spinnaker pipeline.
• B.Use Cloud Pub/Sub to trigger a Spinnaker pipeline.
• C.Use a custom builder in Cloud Build to trigger a Jenkins pipeline.
• D.Use Cloud Pub/Sub to trigger a custom deployment service running in Google Kubernetes Engine (GKE).

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You support an application deployed on Compute Engine. The application connects to a Cloud SQL instance to store and retrieve data. After an update to the application, users report errors showing database timeout messages. The number of concurrent active users remained stable. You need to find the most probable cause of the database timeout. What should you do?

• A.Check the serial port logs of the Compute Engine instance.
• B.Use Stackdriver Profiler to visualize the resources utilization throughout the application.
• C.Determine whether there is an increased number of connections to the Cloud SQL instance.
• D.Use Cloud Security Scanner to see whether your Cloud SQL is under a Distributed Denial of Service (DDoS) attack.

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Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?

• A.Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
• B.Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
• C.Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
• D.Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member's computer. Organize files with a naming convention that identifies each new version.

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You are designing a deployment technique for your applications on Google Cloud. As part Of your deployment planning, you want to use live traffic to gather performance metrics for new versions Of your applications. You need to test against the full production load before your applications are launched. What should you do?

• A.Use A/B testing with blue/green deployment.
• B.Use shadow testing with continuous deployment.
• C.Use canary testing with continuous deployment.
• D.Use canary testing with rolling updates deployment,

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You use Spinnaker to deploy your application and have created a canary deployment stage in the pipeline. Your application has an in-memory cache that loads objects at start time. You want to automate the comparison of the canary version against the production version. How should you configure the canary analysis?

• A.Compare the canary with a new deployment of the current production version.
• B.Compare the canary with a new deployment of the previous production version.
• C.Compare the canary with the existing deployment of the current production version.
• D.Compare the canary with the average performance of a sliding window of previous production versions.

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