Free Google Professional Cloud DevOps Actual Exam Questions - Question 11 Discussion
You currently store the virtual machine (VM) utilization logs in Stackdriver. You need to provide an
easy-to-share interactive VM utilization dashboard that is updated in real time and contains
information aggregated on a quarterly basis. You want to use Google Cloud Platform solutions. What
should you do?
This one’s tricky, but I think C is a solid backup plan. Exporting logs to BigQuery then moving to Google Sheets for visualization lets you build something quickly and share easily, especially if you want something familiar. It might not be great for real-time updates or huge data, but for quarterly aggregation it works. Plus, Sheets dashboards can be interactive enough for basic needs without the overhead of learning Data Studio or custom apps. So I’d say C could be good if you want a straightforward, no-frills approach that’s easy to manage.
Maybe D if you want full customization, but A is way simpler and more scalable.
A/C? I like A for aggregation and sharing, but C could work if you want a simpler tool like Sheets for quick updates, though it might struggle with big data and real-time needs.
Maybe B could work if you already have a SIEM system in place for real-time monitoring, but it seems like overcomplicating things just for a dashboard. A still feels simpler and more direct.
Yeah, A makes sense since BigQuery is great for handling large datasets and Data Studio dashboards are super easy to share and update. The other options feel more complex or less interactive. A
Maybe D isn’t the best pick because building and maintaining a custom app sounds like overkill when you want something easy to share and fairly quick to set up. Also, pulling logs programmatically might add delays and extra work. Option A still seems cleaner since BigQuery handles large datasets well, and Data Studio makes sharing way easier without needing custom development or complex integrations. Real-time might have slight lag, but it should be acceptable for quarterly aggregation and day-to-day monitoring.
It’s A because Data Studio supports real-time updates and easy sharing without extra exports.
Maybe A fits best since BigQuery can handle large data and Data Studio dashboards are easy to share and update in real time. The other options seem more complicated or less interactive.