Associate-Cloud-Engineer Exam Dumps - Google Cloud Certified Questions and Answers

Use gcloud storage for the video files. Dataflow for the data warehouse data, and Storage Transfer Service for the PNG files.

Use Transfer Appliance for the videos. BigQuery Data Transfer Service for the data warehouse data, and Storage Transfer Service for the PNG files.

Use Storage Transfer Service for the video files, BigQuery Data Transfer Service for the data warehouse data, and Storage Transfer Service for the PNG files.

Use Cloud Data Fusion for the video files, Dataflow for the data warehouse data, and Storage Transfer Service for the PNG files.

Deploy a Dataflow job from the batch template "Datastore lo Cloud Storage" Schedule the batch job on the desired interval

In the Cloud Console, go to Cloud Storage Upload the relevant images to the appropriate bucket

Create a script that uses the gsutil command line interface to synchronize the on-premises storage with Cloud Storage Schedule the script as a cron job

Create a Pub/Sub topic, and enable a Cloud Storage trigger for the Pub/Sub topic. Create an application that sends all medical images to the Pub/Sub lope

Create a bash script that contains all requirement steps as gcloud commands

Develop templates for the environment using Cloud Deployment Manager

Use curl in a terminal to send a REST request to the relevant Google API for each individual resource.

Use the Cloud Console interface to provision and manage all related resources

Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.

Select Multi-Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.

Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Nearline Storage.

Select Regional Storage. Add a bucket lifecycle rule that archives data after 30 days to Coldline Storage.

Deploy the new version in the same application and use the --migrate option.

Deploy the new version in the same application and use the --splits option to give a weight of 99 to the current version and a weight of 1 to the new version.

Create a new App Engine application in the same project. Deploy the new version in that application. Use the App Engine library to proxy 1% of the requests to the new version.

Create a new App Engine application in the same project. Deploy the new version in that application. Configure your network load balancer to send 1% of the traffic to that new application.

Link the acquired company’s projects to your company's billing account.

Configure the acquired company's billing account and your company's billing account to export the billing data into the same BigQuery dataset.

Migrate the acquired company’s projects into your company’s GCP organization. Link the migrated projects to your company's billing account.

Create a new GCP organization and a new billing account. Migrate the acquired company's projects and your company's projects into the new GCP organization and link the projects to the new billing account.

Update your web application to use the protocol HTTP/2 instead of HTTP/1.1

Set the concurrency number to 1 for your Cloud Run service.

Set the maximum number of instances for your Cloud Run service to 100.

Set the minimum number of instances for your Cloud Run service to 3.

Review the Compute Engine activity logs Select and review the Admin Event logs

Review the Compute Engine activity logs Select and review the System Event logs

Install the Cloud Logging Agent In Cloud Logging review the Compute Engine syslog logs

Install the Cloud Logging Agent In Cloud Logging, review the Compute Engine operation logs

Reserve a new static external IP address and assign the new IP address to the VM.

Promote the existing IP address of the VM to become a static external IP address.

Reserve a new static external IPv6 address and assign the new IP address to the VM.

Promote the existing IP address of the VM to become a static internal IP address.

After the VM has been created, use your Google Account credentials to log in into the VM.

After the VM has been created, use gcloud compute reset-windows-password to retrieve the login credentials for the VM.

When creating the VM, add metadata to the instance using ‘windows-password’ as the key and a password as the value.

After the VM has been created, download the JSON private key for the default Compute Engine service account. Use the credentials in the JSON file to log in to the VM.