Log Analysis and Monitoring Questions

Skills in gathering diagnostic data, parsing and interpreting application and system logs, and reading monitoring dashboards to identify anomalies and root causes. Candidates should be able to filter and search logs, correlate events across services and time windows, interpret stack traces and error patterns, and use metrics such as latency, error rate, and throughput to detect regressions. The topic covers observability best practices including instrumentation, distributed tracing, alerting thresholds, and common tooling and dashboards used in production environments; candidates should show how to convert raw log and metric data into actionable hypotheses and next steps.