Technical Foundation and Self Assessment Questions

Covers baseline technical knowledge and the candidate's ability to honestly assess and communicate their technical strengths and weaknesses. Topics include fundamental infrastructure and networking concepts, operating system and protocol basics, core development and platform concepts relevant to the role, and the candidate's candid self evaluation of their depth in specific technologies. Interviewers use this to calibrate how technical the candidate is expected to be, identify areas for growth, and ensure alignment of expectations between product and engineering for collaboration.

EasyBehavioral

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As a Solutions Architect, provide a candid self-assessment of your current strengths and weaknesses across networking, cloud platforms, databases, and security. For each area list concrete evidence such as projects, certifications, and hands-on experience, and one action you are taking to improve any weaknesses.

EasyTechnical

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Describe differences between block storage, file storage, and object storage. For storing user-uploaded images, database files, and VM disks respectively, explain which storage type you'd use and why, including performance, semantics, and cost trade-offs.

HardTechnical

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Your distributed RPC system shows healthy median latency, but 99.99th percentile (p99.99) spikes that regularly cause SLO breaches. Provide a systematic approach to root-cause analysis and a prioritized set of engineering fixes (software and infrastructure) you would recommend to reduce tail latency and prevent regressions.

MediumSystem Design

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Design a logging and distributed tracing strategy for a microservices application that must support root-cause analysis across dozens of services. Address log formats, correlation IDs, trace sampling rates, storage retention tiers, and cost-control measures that preserve critical observability signals while containing ingest costs.

MediumTechnical

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A global customer asks that personal data stay within tenant-specific legal zones. Describe how you would map data residency and classification requirements into an architecture across AWS regions, including storage placement, failover behavior, backups, and access controls to ensure compliance.

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