Your application needs to process credit card transactions. You want the smallest scope of Payment Card Industry (PCI) compliance without compromising the ability to analyze transactional data and trends relating to which payment methods are used. How should you design your architecture?

• A.Create a tokenizer service and store only tokenized data.
• B.Create separate projects that only process credit card data.
• C.Create separate subnetworks and isolate the components that process credit card data.
• D.Streamline the audit discovery phase by labeling all of the virtual machines (VMs) that process PCI data.
• E.Enable Logging export to Google BigQuery and use ACLs and views to scope the data shared with the auditor.

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To reduce costs, the Director of Engineering has required all developers to move their development infrastructure resources from on-premises virtual machines (VMs) to Google Cloud Platform. These resources go through multiple start/stop events during the day and require state to persist. You have been asked to design the process of running a development environment in Google Cloud while providing cost visibility to the finance department. Which two steps should you take? Choose 2 answers

• A.Use the --no-auto-delete flag on all persistent disks and stop the VM.
• B.Use the -auto-delete flag on all persistent disks and terminate the VM.
• C.Apply VM CPU utilization label and include it in the BigQuery billing export.
• D.Use Google BigQuery billing export and labels to associate cost to groups.
• E.Store all state into local SSD, snapshot the persistent disks, and terminate the VM.
• F.Store all state in Google Cloud Storage, snapshot the persistent disks, and terminate the VM.

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For this question, refer to the Mountkirk Games case study. Mountkirk Games wants to migrate from their
current analytics and statistics reporting model to one that meets their technical requirements on Google
Cloud Platform.
Which two steps should be part of their migration plan? (Choose two.)

• A.Draw an architecture diagram that shows how to move from a single MySQL database to a MySQL
  cluster.
• B.Load 10 TB of analytics data from a previous game into a Cloud SQL instance, and run test queries
  against the full dataset to confirm that they complete successfully.
• C.Write a schema migration plan to denormalize data for better performance in BigQuery.
• D.Integrate Cloud Armor to defend against possible SQL injection attacks in analytics files uploaded to
  Cloud Storage.
• E.Evaluate the impact of migrating their current batch ETL code to Cloud Dataflow.

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An application development team believes their current logging tool will not meet their needs for their new cloud-based product. They want a better tool to capture errors and help them analyze their historical log data. You want to help them find a solution that meets their needs.
What should you do?

• A.Direct them to download and install the Google StackDriver logging agent
• B.Send them a list of online resources about logging best practices
• C.Help them define their requirements and assess viable logging tools
• D.Help them upgrade their current tool to take advantage of any new features

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Your company has an application running as a Deployment in a Google Kubernetes Engine (GKE) cluster When releasing new versions of the application via a rolling deployment, the team has been causing outages The root cause of the outages is misconfigurations with parameters that are only used in production You want to put preventive measures for this in the platform to prevent outages What should you do?

• A.Configure liveness and readiness probes in the Pod specification
• B.Configure an uptime alert in Cloud Monitoring
• C.Create a Scheduled Task to check whether the application is available
• D.Configure health checks on the managed instance group

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