You need to produce a list of the enabled Google Cloud Platform APIs for a GCP project using the gcloud command line in the Cloud Shell. The project name is my-project. What should you do?

• A.Run gcloud projects listto get the project ID, and then run gcloud services list -- project <project ID>.
• B.Run gcloud initto set the current project to my-project, and then run gcloud services list -- available.
• C.Run gcloud infoto view the account value, and then run gcloud services list --account
• D.Run gcloud projects describe <project ID>to verify the project value, and then run gcloud services list --available.

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You are managing several Google Cloud Platform (GCP) projects and need access to all logs for the past 60 days. You want to be able to explore and quickly analyze the log contents. You want to follow Google- recommended practices to obtain the combined logs for all projects. What should you do?

• A.Configure a Cloud Scheduler job to read from Stackdriver and store the logs in BigQuery. Configure the table expiration to 60 days.
• B.Create a Stackdriver Logging Export with a Sink destination to a BigQuery dataset. Configure the table expiration to 60 days.
• C.Navigate to Stackdriver Logging and select resource.labels.project_id="*"
• D.Create a Stackdriver Logging Export with a Sink destination to Cloud Storage. Create a lifecycle rule to delete objects after 60 days.

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Your company developed a mobile game that is deployed on Google Cloud. Gamers are connecting to the game with their personal phones over the Internet. The game sends UDP packets to update the servers about the gamers' actions while they are playing in multiplayer mode. Your game backend can scale over multiple virtual machines (VMs), and you want to expose the VMs over a single IP address. What should you do?

• A.Configure an SSL Proxy load balancer in front of the application servers.
• B.Configure an Internal UDP load balancer in front of the application servers.
• C.Configure an External HTTP(s) load balancer in front of the application servers.
• D.Configure an External Network load balancer in front of the application servers.

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You are assisting a new Google Cloud user who just installed the Google Cloud SDK on their VM.
The server needs access to Cloud Storage. The user wants your help to create a new storage bucket. You need to make this change in multiple environments. What should you do?

• A.Use the gsutii command to create a storage bucket in the same region as the VM
• B.Use a Deployment Manager script to automate creating storage buckets in an appropriate region
• C.Use a local SSD to improve performance of the VM for the targeted workload
• D.Use a Persistent Disk SSD in the same zone as the VM to improve performance of the VM

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For analysis purposes, you need to send all the logs from all of your Compute Engine instances to a BigQuery dataset called platform-logs. You have already installed the Stackdriver Logging agent on all the instances. You want to minimize cost. What should you do?

• A.1. Create a Cloud Function that has the BigQuery User role on the platform-logsdataset.
  2. Configure this Cloud Function to create a BigQuery Job that executes this query:
  INSERT INTO dataset.platform-logs (timestamp, log)
  SELECT timestamp, log FROM compute.logs
  WHERE timestamp > DATE_SUB(CURRENT_DATE(), INTERVAL 1 DAY)
  3. Use Cloud Scheduler to trigger this Cloud Function once a day.
• B.1. Give the BigQuery Data Editor role on the platform-logsdataset to the service accounts used by your instances.
  2. Update your instances' metadata to add the following value: logs-destination:
  bq://platform-logs.
• C.1. In Stackdriver Logging, create a logs export with a Cloud Pub/Sub topic called logsas a sink.
  2. Create a Cloud Function that is triggered by messages in the logstopic.
  3. Configure that Cloud Function to drop logs that are not from Compute Engine and to insert Compute Engine logs in the platform-logsdataset.
• D.1. In Stackdriver Logging, create a filter to view only Compute Engine logs.
  2. Click Create Export.
  3. Choose BigQuery as Sink Service, and the platform-logsdataset as Sink Destination.

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