You have an application running on Google Kubernetes Engine (GKE). The application is currently using a logging library and is outputting to standard output. You need to export the logs to Cloud Logging, and you need the logs to include metadata about each request. You want to use the simplest method to accomplish this. What should you do?

• A.Change your application's logging library to the Cloud Logging library, and configure your application to export logs to Cloud Logging.
• B.Update your application to output logs in JSON format, and add the necessary metadata to the JSON.
• C.Update your application to output logs in CSV format, and add the necessary metadata to the CSV.
• D.Install the Fluent Bit agent on each of your GKE nodes, and have the agent export all logs from
  /var/log.

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Users are complaining that your Cloud Run-hosted website responds too slowly during traffic spikes. You want to provide a better user experience during traffic peaks. What should you do?

• A.Read application configuration and static data from the database on application startup.
• B.Package application configuration and static data into the application image during build time.
• C.Perform as much work as possible in the background after the response has been returned to the user.
• D.Ensure that timeout exceptions and errors cause the Cloud Run instance to exit quickly so a replacement instance can be started.

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Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters.
Which command should you use?

• A.kubectl exec -it [PARAM] journalctl
• B.kubectl logs [PARAM]
• C.gcloud compute ssh [PARAM] --command= "sudo journalctl"
• D.gcloud logging read [PARAM]

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You are a developer at a financial institution You use Cloud Shell to interact with Google Cloud services. User data is currently stored on an ephemeral disk however a recently passed regulation mandates that you can no longer store sensitive information on an ephemeral disk. You need to implement a new storage solution for your user data You want to minimize code changes Where should you store your user data'?

• A.Store user data m BigQuery tables
• B.Store user data on a Cloud Shell home disk and log in at least every 120 days to prevent its deletion
• C.Store user data in a Cloud Storage bucket
• D.Store user data on a persistent disk in a Compute Engine instance

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Your teammate has asked you to review the code below. Its purpose is to efficiently add a large number of small rows to a BigQuery table.

Which improvement should you suggest your teammate make?

• A.Include multiple rows with each request.
• B.Perform the inserts in parallel by creating multiple threads.
• C.Write each row to a Cloud Storage object, then load into BigQuery.
• D.Write each row to a Cloud Storage object in parallel, then load into BigQuery.

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