Azure and Google Cloud Platforms Questions

Knowledge of core cloud platform concepts and the managed services offered by Microsoft Azure and Google Cloud Platform. Candidates should understand compute options including virtual machines, managed container services, and serverless functions; platform as a service offerings; managed relational and non relational databases; object, block, and file storage; and messaging and eventing services. They should know networking fundamentals such as virtual private cloud or virtual networks, subnets, load balancing, peering, routing, and firewall rules, as well as identity and security topics including identity and access management, role based access control, key management, and encryption. Candidates must be able to map and compare common service equivalents across providers, for example Azure Virtual Machines to Google Compute Engine, Azure App Service to Google App Engine, Azure SQL to Cloud SQL, Azure Blob Storage to Cloud Storage, Azure Service Bus to Cloud Pub Sub, Azure Cosmos DB to Cloud Firestore or Bigtable, and Azure Kubernetes Service to Google Kubernetes Engine. The description also covers operational considerations such as region and zone architecture, high availability and fault tolerance, autoscaling, monitoring and logging, cost and billing differences, service limits and quotas, infrastructure as code and deployment tooling, and multi cloud trade offs including latency, data egress costs, compliance, and vendor lock in. Interview questions typically ask candidates to translate architectures and patterns between platforms, justify service choices, and explain migration or interoperability strategies.