Google Updated Cloud-Digital-Leader Exam Questions and Answers by ashley

Preemptible instances function like normal instances but have the following limitations:

-> Compute Engine might stop preemptible instances at any time due to system events. The probability that Compute Engine will stop a preemptible instance for a system event is generally low, but might vary from day to day and from zone to zone depending on current conditions.

-> Compute Engine always stops preemptible instances after they run for 24 hours. Certain actions reset this 24-hour counter.

-> Preemptible instances are finite Compute Engine resources, so they might not always be available.

-> Preemptible instances can't live migrate to a regular VM instance, or be set to automatically restart when there is a maintenance event.

-> Due to the above limitations, preemptible instances are not covered by any Service Level Agreement (and, for clarity, are excluded from the Compute Engine SLA).

-> The Google Cloud Free Tier credits for Compute Engine do not apply to preemptible instances.

The question is about a dynamic way to provision VM, it can be achieved by a Deployment manager or by using terraform. MIG is creating multiple machines based on templates by load balancing

Compute Engine provides machine type recommendations to help you optimize the resource utilization of your virtual machine (VM) instances. These recommendations are generated automatically based on system metrics gathered by the Cloud Monitoring service over the previous 8 days. Use these recommendations to resize your instance’s machine type to use the instance’s resources more efficiently. This feature is also known as rightsizing recommendations

Reference link- https://cloud.google.com/compute/docs/instances/apply-machine-type-recommendations-for-instances

Enable Services and APIs

Reference link- https://cloud.google.com/storage/docs/projects