Google Updated Professional-Cloud-Architect Exam Questions and Answers by killian

Google Cloud HA (High Availability) VPN is a cloud-native, managed IPsec VPN service designed to deliver a 99.99% network availability SLA. Unlike legacy Classic VPN, HA VPN utilizes an architecture that deploys two external IP addresses assigned to two independent interfaces on a single gateway instance, operating across multiple underlying availability zones. This architecture ensures complete hardware and path redundancy.

Interconnect solutions (Dedicated and Partner) provide dedicated physical layer paths that require extensive provisioning timelines, physical hardware cross-connect setups, and higher upfront capital investments, making them incompatible with the need for rapid deployment before a pending launch. Furthermore, Interconnect traffic is unencrypted by default unless layered with Cloud VPN over Interconnect. HA VPN satisfies the encryption-in-transit mandate via native IPsec suites, avoids high initial costs by using the public internet as transport, and installs via automated configurations.

To adhere to the principle of least privilege, Identity and Access Management (IAM) permissions should be scoped to the smallest resource level necessary. Large Avro source data files intended for ingestion or external processing via BigQuery are stored within Cloud Storage buckets. The roles/storage.objectAdmin role provides the permissions required to create, read, and delete objects within a bucket.

Applying this role at the specific resource level (the individual bucket) isolates the developer ' s administrative capabilities to that specific storage boundary. Applying the role at the project level would grant administrative control over every bucket within the project, which violates security best practices. Since the task specifies managing the source Avro files themselves rather than managing native database tables or network file shares, applying Storage Object Admin to the target bucket is the correct solution.

Comprehensive and Detailed Explanation From Exact Extract: The most effective way to achieve significant cost savings for non-production environments that are only needed during business hours is to stop the instances when they are idle. When an instance is stopped, you are only charged for the persistent disks and not for the CPU/RAM.

Instance Schedules are the native, managed Google Cloud feature designed specifically for this purpose: automating the starting and stopping of Compute Engine instances on a recurring schedule.

Option D (Use Instance Schedules to stop the development and acceptance environments after office hours, and start them just before office hours) directly addresses the need for cost optimization during idle times with the recommended native solution.

Option A (Spot VMs) are cheap but can be preempted at any time, which isn ' t suitable for critical during office hours environments.

Option B (Autoscaling) scales down when demand is low, but typically won ' t scale completely to zero instances, and will still incur minimum running costs.

Option C (Custom Shell Script) is a manual, non-native solution that requires maintenance and is more complex than the built-in Instance Schedules.

Exact Extract Principle:

From the Google Cloud documentation on Compute Engine Cost Optimization :

" Instance schedules allow you to schedule when Compute Engine virtual machine instances start and stop. Use instance schedules to automatically start and stop your instances at predefined times. This is a highly recommended practice for cost optimization of non-production environments (development, testing, or staging) that are not needed 24/7, as you are not billed for the instance ' s machine type when it is stopped. "