Solutions Architect Interview Prep Guide

Use the 6 Rs migration framework (Rehost, Replatform, Repurchase, Refactor, Retire, Retain) for different workload components. Start with a discovery phase assessing 200+ applications, group by migration priority, and propose a phased approach. Design the target architecture with multi-AZ deployment, managed databases, CDN, and auto-scaling. Address data migration strategy, cutover planning, and rollback procedures. Include TCO analysis comparing on-premises costs to cloud.

Discuss integration patterns: API-led connectivity with an integration layer (MuleSoft, Azure API Management), event-driven architecture with Change Data Capture, and an API gateway for unified access. Cover data transformation, error handling, retry logic, and monitoring. Address security with OAuth 2.0, data privacy compliance, and how to handle the different SLA requirements of each system.

Acknowledge the concern genuinely, then discuss the spectrum: fully portable (containers, Kubernetes, Terraform) vs managed services with portability abstractions (containerized databases, standard APIs) vs deeply integrated services (proprietary ML services). Frame the tradeoff between innovation velocity with managed services and portability with cloud-agnostic tools. Provide specific examples of customers who balanced both.

Cover data ingestion (Kinesis/Event Hubs for real-time, batch ETL for historical), storage tiers (data lake on S3/ADLS for raw data, data warehouse for analytics), processing (Spark for batch, Flink for streaming), and ML platform (SageMaker/Vertex AI). Address HIPAA compliance throughout: encryption, access controls, audit logging, and data residency. Include a data governance layer with catalog and lineage tracking.

Structure around business outcomes, not technology: start with the business problem and cost of inaction, present the proposed solution with a simple architecture diagram, highlight business benefits (cost savings, time-to-market improvement, scalability), address risk mitigation, and provide a timeline with milestones. Use analogies for technical concepts. Practice handling pushback on cost and security concerns.

Use a structured evaluation framework: alignment with core business differentiators (build what differentiates, buy what commoditizes), total cost of ownership over 3-5 years (including maintenance, hiring, and opportunity cost), time-to-value, vendor stability and roadmap alignment, integration requirements, and data ownership. Present a decision matrix with weighted criteria. Always include the hidden costs of building: ongoing maintenance, security patching, and feature development.

Describe the specific requirement, why it was problematic (cost, scalability, security, or maintenance burden), and how you presented the alternative. Show that you listened first, understood the underlying business need behind the requirement, and proposed a solution that met the real need better. Emphasize diplomatic communication and the outcome.

Discuss the spectrum of multi-tenancy: shared infrastructure with logical isolation (pool model), dedicated resources per tenant (silo model), and hybrid approaches. Cover database strategies (shared schema with tenant ID, schema-per-tenant, database-per-tenant), compute isolation with Kubernetes namespaces, data residency compliance for enterprise tenants, and how pricing tiers map to isolation levels. Address noisy neighbor prevention and tenant-specific customization.