Medium1 markMultiple Choice
This question is part of a case study — click to read the full scenario(Case 06)

CASE STUDY: ShopGlobal. Global e-commerce. Monolithic Java on VMware. Oracle RAC (20TB). 10x Black Friday traffic. Req: Microservices, 100% uptime during holidays, personalized recommendations. CEO: Flawless omnichannel. CFO: Predictable spend. CTO: No vendor lock-in, open-source. Tech: Containerize, Global LB, PCI-DSS, async orders, real-time inventory. Constraints: Keep Oracle on-prem for 2 yrs (licensing), low K8s skills, strict security reviews.

How should you design the hybrid connectivity between GCP microservices and the on-premises Oracle database to ensure high throughput and low latency?

GCP PCA · Question 07 · Domain 2: Managing and Provisioning a Solution Infrastructure

CASE STUDY: ShopGlobal. Global e-commerce. Monolithic Java on VMware. Oracle RAC (20TB). 10x Black Friday traffic. Req: Microservices, 100% uptime during holidays, personalized recommendations. CEO: Flawless omnichannel. CFO: Predictable spend. CTO: No vendor lock-in, open-source. Tech: Containerize, Global LB, PCI-DSS, async orders, real-time inventory. Constraints: Keep Oracle on-prem for 2 yrs (licensing), low K8s skills, strict security reviews.

Which compute platform best satisfies the CTO's requirement for open-source standards while addressing the constraint of low Kubernetes skills?

Answer options:

A.

Compute Engine with Managed Instance Groups.

B.

GKE Standard with manual node pool management.

C.

GKE Autopilot

D.

App Engine Standard.

How to approach this question

Balance open-source (K8s) with low operational overhead.

Full Answer

C.GKE Autopilot✓ Correct
GKE Autopilot
GKE Autopilot provides a fully managed Kubernetes experience, aligning with open-source standards while removing the need for deep K8s node management skills.

Common mistakes

Choosing GKE Standard and ignoring the skill constraint.

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