During a deployment, your CI/CD pipeline attempts to spin up 50 additional n1-standard-2 VMs in us-central1 and fails with the message "Quota 'CPUS' exceeded in region us-central1 (limit: 96, requested: 100)." Logs also show occasional throttling because the "Compute Engine API requests per 100 seconds" limit has been reached. Which statement correctly distinguishes the two quotas and their remediation paths?
CPUS is a rate quota that replenishes every minute, so waiting and retrying solves the failure; API requests per 100 seconds is an allocation quota that needs a formal increase request.
CPUS is an allocation quota that you can raise by requesting an increase; the API requests per 100 seconds limit is a rate quota that is enforced automatically and is mitigated by slowing or retrying calls rather than requesting more capacity.
Both CPUS and API requests per 100 seconds are allocation quotas; you must submit separate increase requests for each to remove the errors.
Both quotas are rate-based and cannot be increased; the only option is to distribute the workload across additional projects.
The CPUS quota counts how many virtual CPU cores your project can actively use in a specific region. Because it is an allocation quota, you must file a quota-increase request in the Google Cloud console; once approved, the higher limit remains until you change or delete the project. The API requests per 100 seconds limit is a rate quota that controls how quickly you can call the Compute Engine API. It automatically refills over time, cannot be permanently raised for most projects, and is best handled by reducing request bursts, adding retries with exponential back-off, or parallelizing deployments across projects.
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What is the difference between an allocation quota and a rate quota in GCP?
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What strategies can mitigate issues with rate quotas in GCP?
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What is the difference between an allocation quota and a rate quota in GCP?
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How do you request a quota increase in Google Cloud?
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How can you optimize deployments to overcome API rate quota limitations?
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GCP Associate Cloud Engineer
Setting up a cloud solution environment
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