You manage your company's ecommerce platform's payment system, which runs on Google Cloud. Your company must retain user logs for 1 year for internal auditing purposes and for 3 years to meet compliance requirements. You need to store new user logs on Google Cloud to minimize on-premises storage usage and ensure that they are easily searchable. You want to minimize effort while ensuring that the logs are stored correctly. What should you do?

• A.Store the logs in a Cloud Storage bucket with bucket lock turned on.
• B.Store the logs in a Cloud Storage bucket with a 3-year retention period.
• C.Store the logs in Cloud Logging as custom logs with a custom retention period.
• D.Store the logs in a Cloud Storage bucket with a 1-year retention period. After 1 year, move the logs to another bucket with a 2-year retention period.

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You have an HTTP Cloud Function that is called via POST. Each submission's request body has a flat, unnested JSON structure containing numeric and text dat a. After the Cloud Function completes, the collected data should be immediately available for ongoing and complex analytics by many users in parallel. How should you persist the submissions?

• A.Directly persist each POST request's JSON data into Datastore.
• B.Transform the POST request's JSON data, and stream it into BigQuery.
• C.Transform the POST request's JSON data, and store it in a regional Cloud SQL cluster.
• D.Persist each POST request's JSON data as an individual file within Cloud Storage, with the file name containing the request identifier.

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You need to deploy a new European version of a website hosted on Google Kubernetes Engine. The current and new websites must be accessed via the same HTTP(S) load balancer's external IP address, but have different domain names. What should you do?

• A.Define a new Ingress resource with a host rule matching the new domain
• B.Modify the existing Ingress resource with a host rule matching the new domain
• C.Create a new Service of type LoadBalancer specifying the existing IP address as the loadBalancerIP
• D.Generate a new Ingress resource and specify the existing IP address as the kubernetes.io/ingress.global-static-ip-name annotation value

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Your company uses Cloud Logging to manage large volumes of log data. You need to build a real-time log analysis architecture that pushes logs to a third-party application for processing. What should you do?

• A.Create a Cloud Logging log export to BigQuery.
• B.Create a Cloud Logging log export to Cloud Storage.
• C.Create a Cloud Logging log export to Pub/Sub.
• D.Create a Cloud Function to read Cloud Logging log entries and send them to the third-party application.

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You are designing an application that uses a microservices architecture. You are planning to deploy the application in the cloud and on-premises. You want to make sure the application can scale up on demand and also use managed services as much as possible. What should you do?

• A.Deploy open source Istio in a multi-cluster deployment on multiple Google Kubernetes Engine (GKE) clusters managed by Anthos.
• B.Create a GKE cluster in each environment with Anthos, and use Cloud Run for Anthos to deploy your application to each cluster.
• C.Install a GKE cluster in each environment with Anthos, and use Cloud Build to create a Deployment for your application in each cluster.
• D.Create a GKE cluster in the cloud and install open-source Kubernetes on-premises. Use an external load balancer service to distribute traffic across the two environments.

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