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.

MediumSystem Design

0 practiced

You need to integrate data from a rate-limited SaaS API with an internal DB for daily reporting. Describe an ETL design that handles rate limits, partial failures, incremental updates, and keeps data freshness guarantees within 24 hours. Include retry/backoff, checkpointing, and idempotency considerations.

EasyTechnical

0 practiced

On a Linux server running nightly ETL jobs, list the commands and metrics you would check to evaluate system health (CPU, memory, disk, IO, open files). What thresholds would concern you, and what immediate remediation steps would you take if ETL jobs are failing sporadically?

HardSystem Design

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Design a BI reporting architecture that supports both near-real-time dashboards (<=60s latency) and historical batch analytics for 100M events/day and up to 1k concurrent dashboard users. Describe ingestion, streaming vs batch processing, storage choices, serving layer, caching strategy, and how you would meet SLAs while controlling cost.

EasyTechnical

0 practiced

Explain primary keys and foreign keys and why they matter in BI pipelines. Give a concrete example of an error in reporting caused by missing or incorrect keys, and describe how you would detect and fix that issue in the data pipeline.

EasyTechnical

0 practiced

Explain DNS (Domain Name System) and describe two ways DNS issues can impact a BI system that accesses remote data sources/APIs. Include practical troubleshooting steps you would take when dashboards fail to connect due to DNS problems.

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