Enterprise Integration and Automation Questions

Covers the end-to-end design, architecture, and operational management of connecting software systems across an enterprise, from hands-on technical implementation through vendor and governance decisions to production support. Candidates should be able to reason about integration architecture options (point-to-point, hub-and-spoke, enterprise service bus, publish-subscribe and event-driven architecture, and batch ETL pipelines), interface choices (APIs, messaging, streaming, and batch data exchange), and the trade-offs among latency, throughput, delivery semantics, and complexity. Data concerns include data flow mapping, data quality and reconciliation, master data management, schema evolution, and data governance and privacy. Strategic and operational concerns include migration and cutover planning, testing and rollback strategy, monitoring and observability of data flows, SLA and capacity planning, vendor selection and build-versus-buy trade-offs, and incident response. Implementation concerns include interface contract and version management, dependency and compatibility management, error handling and idempotency, reconciliation and eventual consistency, and diagnosing common integration failure modes such as protocol mismatches, schema drift, and version incompatibilities. Automation and workflow topics cover orchestration versus choreography, workflow automation to reduce manual effort, and the trade-offs between configuration and custom development. Candidates should be able to identify integration risks, propose mitigations, and reason about testing, monitoring, security, and continuous improvement for integrated systems, whether the question concerns hands-on implementation, architectural decision-making, or the business and governance side of an integration initiative.