Professional-Cloud-Architect 無料問題集「Google Certified Professional - Cloud Architect (GCP)」

（A）* 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

（B）* 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.

（C）* Compress individual files.
* Name files with serverName-EventSequence.
* Save files to one bucket
* Set custom metadata headers for each object after saving.

（D）* Append metadata to file body.
* Compress individual files.
* Name files with a random prefix pattern.
* Save files to one bucket

（A）Configure a VPN connection to GCP to allow SSH access to the cloud VMs.

（B）Have the development team build an API service that allows the operations team to execute specific remote procedure calls to accomplish their tasks.

（C）Develop a new access request process that grants temporary SSH access to cloud VMs when an operations engineer needs to perform a task.

（D）Grant the operations engineers access to use Google Cloud Shell.

（A）Google Container Engine, Jenkins, and Helm

（B）Google Compute Engine, Jenkins, and Cloud Load Balancing

（C）Google Container Engine and Cloud Load Balancing

（D）Google Compute Engine and Cloud Deployment Manager

（A）Use the rolling update functionality of the Instance Group behind the Kubernetes cluster

（B）Update the service yaml file which the new container image. Use kubect1 delete service/echoservice and kubect1 create -f <yaml-file>

（C）Update the deployment yaml file with the new container image. Use kubect1 delete deployment/ echo-deployment and kubect1 create -f <yaml-file>

（D）Use kubect1 set image deployment/echo-deployment <new-image>

（A）Use Stackdriver Trace to create a trace list analysis.

（B）Use Stackdriver Monitoring to create a dashboard on the project's activity.

（C）Enable Cloud Identity-Aware Proxy in all projects, and add the group of Administrators as a member.

（D）Use the Activity page in the GCP Console and Stackdriver Logging to provide the required insight.

（A）Relational

（B）NoSQL

（C）Blobstore

（D）Flat file

（A）Write a lifecycle management rule in JSON and push it to the bucket with gsutil.

（B）Schedule a cron script using gsutil ls -1 gs://backups/** to find and remove items older than 90 days and schedule it with cron.

（C）Write a lifecycle management rule in XML and push it to the bucket with gsutil.

（D）Schedule a cron script using gsutil is -lr gs://backups/** to find and remove items older than 90 days.

（A）

（B）

（C）

（D）

（A）StatefulSets

（B）Container environment variables

（C）Persistent Volumes

（D）Role-based access control

（A）Use a package manager to install gcloud on your workstations instead of installing it manually

（B）Install gcloud on all of your workstations Run the command gcloud components auto-update on each workstation

（C）Create a Compute Engine instance and install gcloud on the instance Connect to this instance via SSH to always use the same gcloud installation when interacting with Google Cloud

（D）Use Google Cloud Shell in the Google Cloud Console to interact with Google Cloud

（A）Recompile the CLoakedServlet class using and MD5 hash instead of SHA1

（B）Upload missing JAR files and redeploy your application

（C）Digitally sign all of your JAR files and redeploy your application.

（A）Configure kubemci with a global load balancer and Google Kubernetes Engine.

（B）Configure Ingress for Anthos with a global load balancer and Google Kubernetes Engine.

（C）Configure a global load balancer with Google Kubernetes Engine.

（D）Configure a global load balancer connected to a managed instance group running Compute Engine instances.

（A）Configure IAP TCP forwarding on the instance in vpc b and then launch the following gcloud command from one of the instance in vpc-gcloud:

1. Create an additional instance in vpc-a
2. Create an additional instance n vpc-b
3. Instal OpenVPN in newly created instances
4. Configure a VPN tunnel between vpc-a and vpc-b with the help of OpenVPN

（B）Set up a VPN between vpc-a and vpc-b using Cloud VPN

（C）Set up a network peering between vpc-a and vpc-b

（A）Manually deploy a Hadoop cluster on Compute Engine using standard instances.

（B）Create a Dataproc cluster using spot worker instances.

（C）Manually deploy a Hadoop cluster on Compute Engine using preemptible instances.

（D）Create a Dataproc cluster using standard worker instances.