Technical Literacy for Project Management Questions

Knowledge and communication skills that enable a project manager to credibly engage with engineering and technical teams. Candidates should demonstrate familiarity with system architecture concepts, application programming interfaces, databases, cloud platforms and deployment models, testing and monitoring strategies, security and compliance considerations, and scalability and performance trade offs. This includes understanding technical choices such as monolith versus microservices or SQL versus NoSQL, estimating technical effort, reading and interpreting technical documentation and diagrams, facilitating technical discussions, translating product requirements into technical constraints, and working with engineers to surface and mitigate technical risks.

HardTechnical

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Design an incident response and postmortem process for a critical outage: checkout failures for 2 hours on Black Friday. Define communication cadence, on-call roles and rotation, mitigation steps, data collection for RCA, a blameless postmortem template, and how to ensure corrective actions are tracked and implemented.

MediumTechnical

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How would you ensure API contracts do not cause breaking changes for mobile and web clients? Describe processes like contract tests, schema validation, client compatibility rules, deprecation policy, and CI/CD gates that enforce compatibility.

EasyTechnical

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Define observability and its three pillars: metrics, logs, and traces. As a PM releasing a new API endpoint, list essential signals you would request from engineers and describe how each helps detect regressions or user-facing problems after launch.

MediumTechnical

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You must choose between AWS Lambda (serverless) and Kubernetes (containers) for an image-processing endpoint. Given expected throughput 200 req/s, average processing 500ms, occasional GPU needs, and cost sensitivity, recommend a solution and justify product and engineering trade-offs including ops burden and scaling behavior.

MediumTechnical

0 practiced

Your analytics dashboard needs aggregations over event streams (100k events/min). Choose between a NoSQL event store, OLTP relational DB, or an analytical data warehouse (e.g., BigQuery). Describe the ETL/streaming pipeline, expected latency for dashboards, and trade-offs for real-time vs batch processing.

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