Back to course
Expert60 to 120 minutesInstructor visible
Azure Local / Hyper-V Private Cloud Expert lab 1
A learner provisions an isolated azure local / hyper-v private cloud environment and completes a guided operational task.
Business context
Ultiblob uses this exercise to train azure local and private cloud engineer candidates on realistic private-cloud lab operations rather than static videos.
Technical objective
Configure the core azure local / hyper-v private cloud services, verify health, and record the result in the lab progress view.
Student instructions
- 1Open the lab workspace and review the topology map.
- 2Launch the required templates and wait for all provisioning checks to complete.
- 3Complete the configuration task in the course module.
- 4Run validation and capture the result for instructor review.
- 5Create a snapshot before any risky troubleshooting or failure exercise.
Troubleshooting
- If access fails, confirm the bastion session is active and the instance is not expired.
- If validation fails, inspect the lab event log before rerunning the check.
- If configuration drifts, restore the latest clean snapshot and repeat the module task.
Cleanup
- Export notes or reports required by the instructor.
- Restore or delete temporary snapshots created during the exercise.
- Use the teardown action when the module is complete or allow the TTL policy to expire the lab.
Required templates
- Windows Server 2022 base - defined
- Hyper-V nested host template - defined
- Windows Admin Center template - defined
Validation checks
- Nested virtualization available: A nested workload VM can power on and report guest tools status.
- VM reachable: The VM reports boot complete and responds through the tenant bastion path.
- Snapshot created: A named checkpoint exists before the exercise stage.
Expected result
The lab reaches Healthy state for Nested virtualization available, VM reachable, Snapshot created.
Reset policy: Student can reset to the last clean snapshot; instructor can force reset from admin view. Teardown policy: Automatic teardown at TTL expiry with manual instructor override for cohorts.