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Question

Difficulty: HardManaging Resource Quotas, Hierarchies, and Cost Optimization

An enterprise organization is deploying a high-performance analytics platform across 15 newly created Google Cloud projects within a dedicated production folder. The deployment requires provisioning 200 N2 series Compute Engine vCPUs per project in the us-central1 region. Upon checking the newly created projects, the architect observes that the default regional quota for N2 CPUs is insufficient for the planned deployment scale. The deployment must be executed using an automated Infrastructure as Code (IaC) pipeline without causing execution failures or violating security governance principles. Which strategy should the cloud architect implement to manage this resource requirement effectively?

  1. Submit proactive regional quota increase requests for N2 vCPUs across all target projects via the Cloud Quotas API or Console prior to executing the IaC deployment pipeline.Answer
  2. B
    Execute the IaC deployment pipeline directly and rely on Cloud Provisioning auto-retries to automatically request and approve regional quota increases during resource instantiation.
  3. C
    Grant deployment engineers the Owner primitive IAM role on the production folder so they can manually override regional quota limits during pipeline execution.
  4. D
    Configure the deployment pipeline service account with Service Account Admin privileges and store the pipeline state files on unversioned local runner storage.

Answer

Submit proactive regional quota increase requests for N2 vCPUs across all target projects via the Cloud Quotas API or Console prior to executing the IaC deployment pipeline.
The correct strategy requires evaluating regional quota constraints beforehand and submitting quota increase requests proactively through the Cloud Quotas API or GCP Console. This ensures the deployment pipeline executes without hitting quota limits or encountering runtime resource creation failures.

Step-by-Step Solution

1
Assess regional resource requirements against default project quota limits
Identified that 200 N2 vCPUs per project exceeds default regional quota limits in us-central1.
Default quota limits in new Google Cloud projects are often lower than large-scale enterprise deployment needs.
2
Request regional quota adjustments prior to IaC execution
Regional quota capacity is reviewed and approved by Google Cloud before automated deployment starts.
Quota increases require evaluation and processing time; requesting them beforehand prevents pipeline runtime failures.
3
Execute the IaC deployment using fine-grained service account permissions
Infrastructure provisions smoothly within pre-approved quota boundaries following least-privilege security controls.
Ensures full automation and compliance with organizational governance standards.

Key Concept

Proactive Resource Quota Management in GCP Infrastructure Provisioning
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Topics

Managing Resource Quotas, Hierarchies, and Cost Optimization