Google Professional-Cloud-Architect Exam Dumps

https://cloud.google.com/compute/docs/troubleshooting/troubleshooting-ssh

D: Handling 'Unable to connect on port 22' error message

Possible causes include:

There is no firewall rule allowing SSH access on the port. SSH access on port 22 is enabled on all Compute Engine instances by default. If you have disabled access, SSH from the Browser will not work. If you run sshd on a port other than 22, you need to enable the access to that port with a custom firewall rule.

The firewall rule allowing SSH access is enabled, but is not configured to allow connections from GCP Console services. Source IP addresses for browser-based SSH sessions are dynamically allocated by GCP Console and can vary from session to session.

https://cloud.google.com/compute/docs/ssh-in-browser

https://cloud.google.com/compute/docs/ssh-in-browser

According to Google Cloud Filestore documentation, for large-scale high-performance computing (HPC) and file processing pipelines that require high throughput and low latency, Filestore Enterprise is the superior choice. Filestore Enterprise is designed for critical workloads that require high availability and massive parallel access from hundreds of clients.

Filestore Enterprise supports up to 12 GB/s of throughput and thousands of IOPS, which is significantly higher than the Zonal tier (Option A). Furthermore, the Enterprise tier is regional, meaning it synchronously replicates data across three zones within a region, providing higher availability without the administrative overhead of managing separate zonal instances. Option B (Cloud Storage) is object-based and does not provide the standard POSIX file system semantics or the low-latency random write performance required for 'processing' by a fleet of VMs. Option C (Regional Persistent Disk) has a strict limit of only 2 nodes in multi-writer mode and is intended for specific clustered database workloads, making it unsuitable for a fleet of 'hundreds of VMs.' Therefore, Filestore Enterprise is the most scalable and performant solution for this pipeline.

According to Google Cloud's Observability documentation, Google Cloud Managed Service for Prometheus (GMP) is the recommended enterprise solution for monitoring multi-cloud and hybrid environments while maintaining full PromQL compatibility.

GMP is a fully managed, multi-cloud solution that lets you monitor and alert on your workloads at scale without having to manually manage the storage, availability, or scaling of your Prometheus servers. It supports global aggregation of metrics, allowing developers to query data from multiple clusters and clouds (AWS, Azure, On-prem) using a single query interface. This satisfies the 'low-maintenance' and 'scalable' requirements while preserving the existing workflows developers are comfortable with. Option D is a general monitoring solution but doesn't offer the native, drop-in PromQL compatibility that GMP provides.

https://cloud.google.com/logging/docs/agent/default-logs