Technical Learning and Curiosity Questions

Evaluates a candidate's ability to rapidly learn unfamiliar technical systems, build working mental models of architectures and data flows, read and interpret documentation, and ask incisive technical questions. Covers hands on learning practices such as running small experiments or prototypes, debugging, exploring logs and telemetry, and synthesizing new information into actionable implementation recommendations. Interviewers probe how candidates close knowledge gaps, curate learning resources, incorporate feedback, and translate new technical knowledge into cross functional collaboration and solution design.