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

https://cloud.google.com/datastore/docs/concepts/overview

Common workloads for Google Cloud Datastore:

User profiles

Product catalogs

Game state

https://cloud.google.com/iam/docs/understanding-service-accounts

Migrating data to Google Cloud Platform

Let’s say that you have some data processing that happens on another cloud provider and you want to transfer the processed data to Google Cloud Platform. You can use a service account from the virtual machines on the external cloud to push the data to Google Cloud Platform. To do this, you must create and download a service account key when you create the service account and then use that key from the external process to call the Cloud Platform APIs.

According to Google Cloud Compute Engine documentation, Spot VMs (formerly Preemptible VMs) are the most cost-effective choice for fault-tolerant, batch processing workloads. Since Altostrat’s jobs are "not time-critical" and can "tolerate occasional interruptions," Spot VMs offer a significant discount—typically 60-91%—compared to standard on-demand prices.

The "Reliability and cost management" priority mentioned in the executive statement is directly addressed by utilizing the spare capacity that Spot VMs provide. While these instances can be reclaimed by Google Cloud at any time (preempted) with a 30-second notice, Altostrat’s batch processing architecture (likely running on GKE or managed instance groups) can automatically reschedule these tasks when capacity becomes available again.

Option A (Reserved instances) requires a long-term commitment (1 or 3 years) and is better suited for predictable, constant workloads, not fluctuating batch jobs. Option C (Standard VMs) is unnecessarily expensive for workloads that do not require 100% uptime. Option D (Cloud Run functions) is excellent for event-driven, short-lived tasks but can become more expensive than Spot VMs for heavy, long-running batch computational demands. By leveraging Spot VMs, Altostrat achieves its goal of optimizing cloud storage and compute costs while maintaining the scalability required for its vast media library.