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Technical Vision and Infrastructure Roadmap Questions

This topic assesses a candidate's ability to define a multi year technical vision for infrastructure, platform, and systems and to translate that vision into a practical execution roadmap. Core skills include evaluating technology choices and architecture evolution, planning migration and modernization paths, anticipating scalability and capacity needs, and balancing cost performance with resilience and operational reliability. Candidates should demonstrate approaches to managing technical debt, sequencing investments across quarters and releases, estimating resources and timelines, establishing measurable infrastructure goals and key performance indicators, and implementing governance and standards. Discussion may also cover reliability and observability, security and compliance considerations, trade offs between short term stability and long term rearchitecture, prioritization to enable business outcomes, and communicating technical trade offs to both technical and non technical stakeholders.

EasyTechnical
0 practiced
You are asked to estimate storage capacity for a data warehouse. Current state: 120 tables, average 150M rows per table, average row size 400 bytes, retention 3 years, daily ingest growth of 0.5%. Provide your calculations for current storage, projected 3-year storage, and a safety buffer. State any assumptions.
HardTechnical
0 practiced
Evaluate the trade-offs between replicating BI datasets across geographic regions for low-latency dashboards versus centralizing data for cost efficiency and consistent governance. Discuss consistency models, replication strategies, legal/compliance issues and the impact on query cost and operational complexity.
MediumTechnical
0 practiced
Design a 12-month migration roadmap to move a mid-market company's reporting from on-prem SQL Server to Snowflake. The company has 200 dashboards, weekly refreshes, and minimal tolerable downtime. Provide phases, validation checkpoints, rollback strategy, required team roles, and success metrics for each phase.
HardSystem Design
0 practiced
Propose an end-to-end disaster recovery strategy for BI infrastructure covering the data warehouse, ETL pipelines, dashboard metadata, and SLA for recovery time objective (RTO) and recovery point objective (RPO). Include failover mechanisms, testing cadence, and cost considerations.
MediumSystem Design
0 practiced
Draft a governance and metadata strategy to ensure discoverability, ownership, and access control for datasets used by BI. Include the role of a data catalog, lineage tracking, automated quality checks, and how enforcement would be integrated into the platform.

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