GCP Professional Cloud Architect Practice Question
Your organization plans to re-platform a set of on-premise .NET microservices to Google Kubernetes Engine over the next nine months. Most developers are proficient in .NET and basic Docker, but have no production Kubernetes, service-mesh, or infrastructure-as-code experience. Executive leadership asks you, the lead cloud architect, to create a concrete plan that ensures teams are ready to build, operate, and secure the new platform while meeting the timeline. Which approach should you recommend first to establish an effective skills-readiness program?
Provision the production GKE clusters immediately and allow developers to self-learn Kubernetes through ad-hoc documentation during early sprints.
Run a formal skills-gap analysis that maps required GKE, service-mesh, and IaC competencies to each job role, then create role-based learning paths using Google Cloud Skills Boost content and Professional-level certifications.
Contract a managed services provider to operate Kubernetes so development teams can continue focusing only on application code.
Require every engineer to pass the Professional Cloud Architect certification within three months before any further environment planning begins.
A structured skills-gap assessment is the starting point for any readiness program. Mapping the capabilities required for the target state (GKE administration, service mesh, IaC, security) against the current skills of each role reveals specific gaps. With those gaps identified, you can build role-based learning paths that combine Google Cloud Skills Boost courses, hands-on labs, and relevant Professional-level certifications. This approach produces a targeted, measurable enablement plan aligned to project milestones. Simply mandating certifications, outsourcing operations, or hoping developers learn ad-hoc either ignores individual needs or fails to build internal capability, increasing long-term risk.
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