Intrigued by the art of cloud architecture? Discover how to design, develop, and manage robust, secure, scalable, and dynamic solutions on Google Cloud as you prepare for the Professional Cloud Architect exam!
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Prepare and test your skills
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An enterprise has deployed a multi-tier web application across Compute Engine virtual machines and Google Kubernetes Engine (GKE) clusters. Over several months of production traffic, operations teams have noticed rising infrastructure costs alongside intermittent performance bottlenecks during unexpected traffic spikes. As the lead cloud architect advising the team, you need to evaluate the current architecture against the Google Cloud Well-Architected Framework to optimize resource allocation, improve cost-efficiency, and enhance performance.
Which approach should you recommend to achieve these architectural optimizations using Gemini Cloud Assist?
Query Gemini Cloud Assist in the Cloud Assist panel and Cloud Hub to identify underutilized resources and autoscaling recommendations, then use Application Design Center to model and deploy the updated architecture.
Use Gemini Code Assist in Cloud Shell to generate custom Python automation scripts that scan raw billing export files and programmatically delete non-essential instances.
Query BigQuery using Gemini in BigQuery to train custom machine learning models on Cloud Audit Logs to predict future Compute Engine quota exhaustion.
Configure Security Command Center with Gemini Investigations to automatically adjust GKE Pod Disruption Budgets and alter machine types across all production nodes.
Gemini Cloud Assist is an AI-powered collaborator built into Google Cloud that integrates with operational context from Cloud Asset Inventory, Cloud Monitoring, and Cloud Hub. Application Design Center enables architects and operators to model, refine, and deploy optimized cloud application topologies throughout their lifecycle based on actionable architectural guidance.
This approach directly leverages Google Cloud's integrated AI assistance and application governance tools to evaluate live infrastructure against best-practice pillars and safely roll out design improvements without manual, error-prone guesswork.
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