Free Associate Cloud Engineer Exam Braindumps
Associate Cloud Engineer Questions 126–130 (page: 27)

Updated On: 10-Feb-2026

You have designed a solution on Google Cloud that uses multiple Google Cloud products. Your company has asked you to estimate the costs of the solution. You need to provide estimates for the monthly total cost.
What should you do?

  1. For each Google Cloud product in the solution, review the pricing details on the products pricing page. Use the pricing calculator to total the monthly costs for each Google Cloud product.
  2. For each Google Cloud product in the solution, review the pricing details on the products pricing page.
    Create a Google Sheet that summarizes the expected monthly costs for each product.
  3. Provision the solution on Google Cloud. Leave the solution provisioned for 1 week. Navigate to the Billing Report page in the Cloud Console. Multiply the 1 week cost to determine the monthly costs.
  4. Provision the solution on Google Cloud. Leave the solution provisioned for 1 week. Use Cloud Monitoring to determine the provisioned and used resource amounts. Multiply the 1 week cost to determine the monthly costs.

Answer(s): A


Reference:

https://cloud.google.com/free/docs/estimate-costs-google-cloud-platform



You have an application that receives SSL-encrypted TCP traffic on port 443. Clients for this application are located all over the world. You want to minimize latency for the clients.
Which load balancing option should you use?

  1. HTTPS Load Balancer
  2. Network Load Balancer
  3. SSL Proxy Load Balancer
  4. Internal TCP/UDP Load Balancer. Add a firewall rule allowing ingress traffic from 0.0.0.0/0 on the target instances.

Answer(s): C


Reference:

https://cloud.google.com/load-balancing/docs/ssl



You have an application on a general-purpose Compute Engine instance that is experiencing excessive disk read throttling on its Zonal SSD Persistent Disk. The application primarily reads large files from disk. The disk size is currently 350 GB. You want to provide the maximum amount of throughput while minimizing costs.
What should you do?

  1. Increase the size of the disk to 1 TB.
  2. Increase the allocated CPU to the instance.
  3. Migrate to use a Local SSD on the instance.
  4. Migrate to use a Regional SSD on the instance.

Answer(s): C


Reference:

https://cloud.google.com/compute/docs/disks/performance



Your Dataproc cluster runs in a single Virtual Private Cloud (VPC) network in a single subnet with range 172.16.20.128/25. There are no private IP addresses available in the VPC network. You want to add new VMs to communicate with your cluster using the minimum number of steps.
What should you do?

  1. Modify the existing subnet range to 172.16.20.0/24.
  2. Create a new Secondary IP Range in the VPC and configure the VMs to use that range.
  3. Create a new VPC network for the VMs. Enable VPC Peering between the VMs' VPC network and the Dataproc cluster VPC network.
  4. Create a new VPC network for the VMs with a subnet of 172.32.0.0/16. Enable VPC network Peering between the Dataproc VPC network and the VMs VPC network. Configure a custom Route exchange.

Answer(s): A



You manage an App Engine Service that aggregates and visualizes data from BigQuery. The application is deployed with the default App Engine Service account. The data that needs to be visualized resides in a different project managed by another team. You do not have access to this project, but you want your application to be able to read data from the BigQuery dataset.
What should you do?

  1. Ask the other team to grant your default App Engine Service account the role of BigQuery Job User.
  2. Ask the other team to grant your default App Engine Service account the role of BigQuery Data Viewer.
  3. In Cloud IAM of your project, ensure that the default App Engine service account has the role of BigQuery Data Viewer.
  4. In Cloud IAM of your project, grant a newly created service account from the other team the role of BigQuery Job User in your project.

Answer(s): B


Reference:

https://cloud.google.com/bigquery/docs/access-control



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