You are deploying an application that needs to access sensitive information. You need to ensure that this information is encrypted and the risk of exposure is minimal if a breach occurs. What should you do?

• A.Inject the secret at the time of instance creation via an encrypted configuration management system.
• B.Store the encryption keys in Cloud Key Management Service (KMS) and rotate the keys frequently
• C.Integrate the application with a Single sign-on (SSO) system and do not expose secrets to the application
• D.Leverage a continuous build pipeline that produces multiple versions of the secret for each instance of the application.

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Your company follows Site Reliability Engineering practices. You are the person in charge of Communications for a large, ongoing incident affecting your customer-facing applications. There is still no estimated time for a resolution of the outage. You are receiving emails from internal stakeholders who want updates on the outage, as well as emails from customers who want to know what is happening. You want to efficiently provide updates to everyone affected by the outage. What should you do?

• A.Focus on responding to internal stakeholders at least every 30 minutes. Commit to "next update" times.
• B.Provide periodic updates to all stakeholders in a timely manner. Commit to a "next update" time in all communications.
• C.Delegate the responding to internal stakeholder emails to another member of the Incident Response Team. Focus on providing responses directly to customers.
• D.Provide all internal stakeholder emails to the Incident Commander, and allow them to manage internal communications. Focus on providing responses directly to customers.

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You are configuring the frontend tier of an application deployed in Google Cloud The frontend tier is hosted in ngmx and deployed using a managed instance group with an Envoy-based external HTTP(S) load balancer in front The application is deployed entirely within the europe-west2 region: and only serves users based in the United Kingdom. You need to choose the most cost-effective network tier and load balancing configuration What should you use?

• A.Premium Tier with a global load balancer
• B.Premium Tier with a regional load balancer
• C.Standard Tier with a global load balancer
• D.Standard Tier with a regional load balancer

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Your company runs services by using multiple globally distributed Google Kubernetes Engine (GKE) clusters Your operations team has set up workload monitoring that uses Prometheus-based tooling for metrics alerts: and generating dashboards This setup does not provide a method to view metrics globally across all clusters You need to implement a scalable solution to support global Prometheus querying and minimize management overhead What should you do?

• A.Configure Prometheus cross-service federation for centralized data access
• B.Configure workload metrics within Cloud Operations for GKE
• C.Configure Prometheus hierarchical federation for centralized data access
• D.Configure Google Cloud Managed Service for Prometheus

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You use Terraform to manage an application deployed to a Google Cloud environment The application runs on instances deployed by a managed instance group The Terraform code is deployed by using a CI/CD pipeline When you change the machine type on the instance template used by the managed instance group, the pipeline fails at the terraform apply stage with the following error message

You need to update the instance template and minimize disruption to the application and the number of pipeline runs What should you do?

• A.Delete the managed instance group and recreate it after updating the instance template
• B.Add a new instance template update the managed instance group to use the new instance template and delete the old instance template
• C.Remove the managed instance group from the Terraform state file update the instance template and reimport the managed instance group.
• D.Set the create_bef ore_destroy meta-argument to true in the lifecycle block on the instance template

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