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| Vendor: | |
|---|---|
| Exam Code: | Professional-Cloud-Architect |
| Exam Name: | Google Cloud Architect Professional |
| Exam Questions: | 334 |
| Last Updated: | July 9, 2026 |
| Related Certifications: | Google Cloud Certified |
| Exam Tags: | Professional and Advanced Level Google Cloud ArchitectsGoogle Cloud Administrators |
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Your customer is moving an existing corporate application to Google Cloud Platform from an on-premises data center. The business owners require minimal user disruption. There are strict security team requirements for storing passwords. What authentication strategy should they use?
https://cloud.google.com/solutions/authenticating-corporate-users-in-a-hybrid-environment
For this question, refer to the Helicopter Racing League (HRL) case study. A recent finance audit of cloud
infrastructure noted an exceptionally high number of Compute Engine instances are allocated to do video
encoding and transcoding. You suspect that these Virtual Machines are zombie machines that were not deleted
after their workloads completed. You need to quickly get a list of which VM instances are idle. What should you
do?
Your company sends all Google Cloud logs to Cloud Logging. Your security team wants to monitor the logs. You want to ensure that the security team can react quickly if an anomaly such as an unwanted firewall change or server breach is detected. You want to follow Google-recommended practices. What should you do?
https://cloud.google.com/blog/products/management-tools/automate-your-response-to-a-cloud-logging-event
Your BigQuery project has several users. For audit purposes, you need to see how many queries each user ran in the last month.
https://cloud.google.com/bigquery/docs/managing-jobs
You are designing the storage architecture for a financial analytics platform. The platform ingests and stores terabytes of transactional data daily, which is used for both real-time fraud detection and long-term historical analysis. Transaction data from the last 30 days must be accessible with very low latency for the fraud detection engine. Data older than 30 days is accessed infrequently for quarterly reports, where retrieval times of a few seconds are acceptable. All data must be retained for five years to meet compliance regulations. You need to design a solution as cost-effective as possible. What should you do?
According to Google Cloud Storage documentation, the choice of storage class depends on the access frequency and retention period.
For the first 30 days, data requires 'very low latency,' making Standard Storage necessary. For data older than 30 days that is accessed for 'quarterly reports' (roughly every 90 days) where 'retrieval times of a few seconds' are acceptable, Coldline Storage is the most cost-effective choice. Coldline is designed for data accessed at most once a quarter. Transitioning to Archive (Option C) would be too aggressive, as Archive is intended for data accessed less than once a year and may have higher retrieval costs. Option B (BigQuery) is excellent for analytics but can be significantly more expensive than Cloud Storage for simple long-term retention of terabytes of raw transaction data. Object Lifecycle Management automates this transition, ensuring cost-efficiency over the 5-year compliance window.
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