Multi Cloud Architecture and Trade Offs Questions

Covers architecture patterns, operational considerations, and trade offs when designing systems that span two or more public cloud providers. Includes comparing compute, storage, networking, database, identity, and managed service equivalents across AWS, Microsoft Azure, and Google Cloud Platform; criteria for choosing managed platform services versus infrastructure virtual machines; containerization and orchestration trade offs; strategies to minimize vendor lock in such as abstraction layers, multi provisioned pipelines, and data portability; cost and service level trade offs including egress and billing implications; cross cloud networking and connectivity patterns; security, compliance, and identity implications across providers; implications for monitoring, logging, deployment automation, and operational run books. Candidates should be able to justify provider choices, explain the operational overhead of multi cloud, and propose realistic migration or hybrid strategies.