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Technical Priorities and Challenges Questions

Identify the team's current technical priorities, pain points, and technical roadmap including architecture, technical debt, platform and tooling constraints, and business intelligence or data infrastructure considerations. Candidates should be able to discuss the current data stack and workflows, trade offs between short term fixes and longer term redesigns, success criteria for technical initiatives in the first 90 days and first year, and how their technical experience and decisions would address the team constraints while aligning with product goals.

MediumSystem Design
82 practiced
Design a federated API approach that allows the BI frontend to request cross-service joins without centralizing all data. Discuss how to coordinate requests, cache intermediate results, handle partial failures, and ensure the API remains performant for common dashboard queries.
EasyTechnical
88 practiced
You're joining a new BI team as a Business Intelligence Analyst. In your first meeting with engineering and product, list and explain the top 6 technical priorities you would surface for the BI function (architecture, dashboard performance, data freshness, tooling, technical debt, observability). For each priority, explain the short-term business impact and what evidence or signals you'd use to validate the priority.
MediumTechnical
86 practiced
Describe reasonable SLOs and SLAs for BI dashboards in terms of freshness and availability. Provide concrete numbers for: dashboard availability percentage, acceptable staleness windows for operational vs historical dashboards, and maximum acceptable p95 latency. Explain how you would measure and report against these SLOs.
MediumTechnical
86 practiced
Explain the Backend-for-Frontend (BFF) pattern and describe two concrete situations where a BI dashboard should consume data via a BFF instead of directly calling multiple microservices. Mention benefits and maintenance trade-offs of adding a BFF layer.
MediumTechnical
92 practiced
A key backend microservice that feeds multiple dashboards has started showing increased query latency during peak hours. Propose both short-term fixes you can implement within a week and longer-term architectural changes for the next 6-12 months. Discuss trade-offs such as complexity, cost, data accuracy, and stakeholder expectations.

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