For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you do?

• A.Use the gcloud compute instances list to list the virtual machine instances that have the idle: true label set.
• B.From the Google Console, identify which Compute Engine instances in the managed instance groups are no longer responding to health check probes.
• C.Use the gcloud recommender command to list the idle virtual machine instances.
• D.Log into each Compute Engine instance and collect disk, CPU, memory, and network usage statistics for analysis.

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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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You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?

• A.Add additional nodes to your Container Engine cluster using the following command:
  gcloud container clusters resize
  CLUSTER_Name - -size 10
• B.Add a tag to the instances in the cluster with the following command:
  gcloud compute instances add-tags
  INSTANCE - -tags enable-
  autoscaling max-nodes-10
• C.Update the existing Container Engine cluster with the following command:
  gcloud alpha container clusters
  update mycluster - -enable-
  autoscaling - -min-nodes=1 - -max-nodes=10
• D.Create a new Container Engine cluster with the following command:
  gcloud alpha container clusters
  create mycluster - -enable-
  autoscaling - -min-nodes=1 - -max-nodes=10
  and redeploy your application

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The application reliability team at your company this added a debug feature to their backend service to send all server events to Google Cloud Storage for eventual analysis. The event records are at least 50 KB and at most
15 MB and are expected to peak at 3,000 events per second. You want to minimize data loss.
Which process should you implement?

• A.* Compress individual files
  * Name files with serverName - EventSequence
  * Save files to one bucket
  * Set custom metadata headers for each object after saving
• B.* Append metadata to file body
  * Compress individual files
  * Name files with a random prefix pattern
  * Save files to one bucket
• C.* Append metadata to file body
  * Compress individual files
  * Name files with serverName - Timestamp
  * Create a new bucket if bucket is older than 1 hour and save individual files to the new bucket. Otherwise, save files to existing bucket.
• D.* Batch every 10,000 events with a single manifest file for metadata
  * Compress event files and manifest file into a single archive file
  * Name files using serverName - EventSequence
  * Create a new bucket if bucket is older than 1 day and save the single archive file to the new bucket.
  Otherwise, save the single archive file to existing bucket.

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