A concise but comprehensive presentation of a candidate's core technical competencies, tool familiarity, and practical proficiency. Topics to cover include programming languages and skill levels, frameworks and libraries, development tools and debuggers, relational and non relational databases, cloud platforms, containerization and orchestration, continuous integration and continuous deployment practices, business intelligence and analytics tools, data analysis libraries and machine learning toolkits, embedded systems and microcontroller experience, and any domain specific tooling. Candidates should communicate both breadth and depth: identify primary strengths, describe representative tasks they can perform independently, and call out areas of emerging competence. Provide brief concrete examples of projects or analyses where specific tools and technologies were applied and quantify outcomes or impact when possible, while avoiding long project storytelling. Prepare a two to three minute verbal summary that links skills and tools to concrete outcomes, and be ready for follow up probes about technical decisions, trade offs, and how tools were used to deliver results.
HardSystem Design
0 practiced
A regulated client requires tamper-evident, immutable logs for security incidents. Design a logging pipeline that ensures append-only storage (WORM-like), tamper-evidence (hash-chaining or Merkle trees), encryption in transit and at rest, role-based access control, and searchable indexes for forensic analysis. Discuss retention policies, legal-hold requirements, and how to demonstrate tamper-evidence to auditors.
EasyTechnical
0 practiced
Explain the core differences between relational databases (for example PostgreSQL) and NoSQL databases (for example MongoDB or DynamoDB). For each category give a concrete use-case where it is the better fit, and comment on differences in indexing, consistency models (ACID vs eventual), schema evolution, and the tooling/commands you have used in practice.
EasyTechnical
0 practiced
Describe the IDEs, editors, and debugging tools you use daily (for example: IntelliJ, VS Code, GDB). Explain how you configure breakpoints, conditional breakpoints, watches, and step-through debugging to diagnose issues such as a null pointer exception or a segmentation fault. Provide one concrete example where interactive debugging reduced time-to-fix in production-like conditions.
MediumTechnical
0 practiced
Your microservice's DEBUG logs flood the logging system during peak hours, causing cost spikes and noise. Propose a comprehensive mitigation strategy: dynamic log-level control, sampling strategies, structured log filtering, buffered logging, tiered storage, and CI/CD changes to reduce verbosity. Explain trade-offs for observability versus cost.
MediumSystem Design
0 practiced
Explain how Kubernetes Deployments, ReplicaSets, and Pods relate to each other. Describe a safe strategy to roll out a configuration change in production: include how to use readiness and liveness probes, set rolling update parameters (maxUnavailable, maxSurge), use canary deployments, and decide when to abort and roll back.
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