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Zorluk: KolayDesigning Infrastructure for Business Requirements and Cost Optimization

A financial analytics firm needs to store 50 TB50\text{ TB} of historical transaction logs on Google Cloud that are accessed less than once a year for legal compliance. Additionally, they need to execute an on-demand containerized processing script that runs briefly only when an audit report is generated. The firm wants to minimize baseline operational overhead and total cloud costs. Which TWO architectural choices should the cloud architect recommend? (Select TWO.)

  1. Store historical transaction logs in Cloud Storage using the Archive storage class.Cevap
  2. Deploy the containerized processing script on Cloud Run.Cevap
  3. C
    Store historical transaction logs in a multi-region Cloud Spanner database instance.
  4. D
    Deploy the containerized processing script on a dedicated Google Kubernetes Engine (GKE) cluster.

Cevap

The cloud architect should store historical transaction logs in Cloud Storage using the Archive storage class and deploy the containerized processing script on Cloud Run.
Combining Cloud Storage Archive class with Cloud Run achieves maximum cost optimization. Cloud Storage Archive provides ultra-low-cost storage for static compliance data accessed less than once per year. Cloud Run provides serverless container execution that scales to zero instances when inactive, eliminating baseline infrastructure spending.

Adım Adım Çözüm

1
Evaluate storage requirements for cold historical logs
Cloud Storage Archive storage class provides the lowest unit storage cost for data accessed less than once annually.
Choosing cold storage aligns resource selection directly with low-access business requirements while minimizing recurring storage spend.
2
Evaluate compute options for infrequent containerized execution
Cloud Run automatically provisions compute on demand and scales down to zero when idle.
Serverless containers eliminate idle compute costs for workloads with unpredictable or low invocation frequencies.

Anahtar Kavram

Selecting cost-optimized cloud storage tiers and serverless compute platforms based on workload access frequency and invocation patterns.
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