Google Professional Cloud Architect (PCA) Exam Dumps with Solutions

A global logistics firm operates 650 smart loading bays across 8 distribution centers on 3 continents, and each bay has a beam-break sensor that reports its state once per second; each event contains only a sensor ID and several discrete status flags, and analysts must correlate this data with driver account records, scheduled dock assignments, and warehouse location metadata to run join-heavy queries and produce operational reports; which database type should you use?

A ticketing company needs to expose a public HTTPS webhook API written in Go 1.20 that is idle most of the day but can surge from ~0 to 10,000 requests per minute within 90 seconds when major sales go live; the service must maintain at least 99.95% availability during spikes, support request timeouts up to 60 seconds, auto-scale without pre-provisioning capacity, and minimize operational overhead by avoiding server, cluster, or OS management—what deployment approach should you recommend?

Your media analytics firm stores 150 TB of sensitive video feature vectors on regional SSD persistent disks attached to a Dataproc cluster in us-central1. For regulatory reasons, you must be able to rotate the encryption key protecting the data at rest on these disks at least every 90 days without manually re-encrypting data or changing Spark jobs. Pipelines must continue to run with minimal operational overhead and no plaintext copies written to intermediate storage. You want to follow Google-recommended practices for security. What should you do?

Cinemetrix, a media analytics firm, enabled Google Workspace (domain: cinemetrix.com) last week and created a Google Cloud Organization; they currently have 85 projects across 6 folders. The security office now mandates that, effective immediately, no principals from outside cinemetrix.com may be granted any IAM role on any project, folder, or resource within the Organization. The control must be enforced centrally at the Organization level, automatically apply to newly created projects, work without custom scripts or periodic jobs, take effect within 30 minutes, and must not break existing or future service-account-based workloads. What should you do?

Your retail analytics team needs to run 40 legacy Hadoop MapReduce jobs on Google Cloud for weekly batch processing without changing any job code or deployment scripts; they want to minimize both compute cost and infrastructure management effort; each batch runs 3–6 hours and the pipelines can tolerate up to 20% worker loss without failing. What should you do?