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PROFESSIONAL-CLOUD-NETWORK-ENGINEER · Question #34

A database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space How can you remediate the problem with the…

The correct answer is A. In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs. A (Correct answer) - In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux. Here are the steps: In the Cloud Platform Console, increase the size of the persistent disk; after indicating size increase in console, to make…

Submitted by hans_de· Apr 18, 2026Implementing a Google Cloud network

Question

A database virtual machine on Google Compute Engine has an ext4-formatted persistent disk for data files. The database is about to run out of storage space How can you remediate the problem with the least amount of downtime?

Options

  • AIn the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs
  • BShut down the virtual machine, use the Cloud Platform Console to increase the persistent disk
  • CIn the Cloud Platform Console, increase the size of the persistent disk and verify the new space is
  • DIn the Cloud Platform Console, create a new persistent disk attached to the virtual machine,
  • EIn the Cloud Platform Console, create a snapshot of the persistent disk, restore the snapshot to a

How the community answered

(25 responses)
  • A
    84% (21)
  • C
    4% (1)
  • D
    8% (2)
  • E
    4% (1)

Explanation

A (Correct answer) - In the Cloud Platform Console, increase the size of the persistent disk and use the resize2fs command in Linux. Here are the steps: In the Cloud Platform Console, increase the size of the persistent disk; after indicating size increase in console, to make the new size effective, you have two options: restart the VM or configure in the VM's operating systems, Windows or Linux.

Topics

#Compute Engine#Persistent Disk#Storage Management#Downtime Minimization

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