Cloud Digital Leader Practice Question: When choosing a Google Cloud region for a new…

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

• ✗

  Always choose `us-central1` because it has the most services and lowest cost.

  Why it's wrong here

  While us-central1 is among the largest and most feature-complete Google Cloud regions, and often has lower prices, it is not a universal default. Placing a European user base in us-central1 introduces 80–150 ms of additional round-trip latency and may violate EU data residency regulations. Also, cost advantages can be outweighed by data egress fees or the need for region-specific compliance certifications, so region choice must align with the workload's users and governance constraints.

• ✓

  Proximity to users (for low latency), data residency requirements, available services in the region, and pricing.

  Why this is correct

  Region selection is driven by four interdependent factors: network proximity to end users minimizes latency; data residency rules (e.g., GDPR, HIPAA) can mandate storing data in specific geographies; service availability varies because Google rolls out features and specialized hardware (e.g., TPUs, GPUs) gradually across regions; and pricing differences arise from regional energy costs, taxation, and infrastructure overhead. A workload serving Tokyo users should run in an Asian region like asia-northeast1, while an EU workload must consider europe-west regions to satisfy sovereignty requirements.

• ✗

  The alphabetical order of region names — 'a' regions are newer and more stable.

  Why it's wrong here

  Region identifiers like us-central1 or europe-west1 indicate geographic location and a numerical sequence, not stability or quality. The suffixes (-a, -b, -c) denote zones within a region, and each zone runs on independent infrastructure with equivalent reliability targets. No alphabetic ordering correlates with newness—newer zones are added with separate designators, and all zones are designed for high availability.

• ✗

  Google assigns regions automatically based on the user's IP address at account creation.

  Why it's wrong here

  Google Cloud does not infer regions from an IP address; every resource requires an explicit region/zone selection at deployment time. Automatic geo-assignment would conflict with data residency obligations (e.g., GDPR) and latency tuning, since IP geolocation is imperfect and cannot replace deliberate architectural planning. This misunderstanding likely derives from consumer services, not GCP's resource model.

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