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Incident Response Fundamentals Questions

Comprehensive understanding of standard incident response methodology and the analyst role across all phases. Candidates should know the primary phases at a practical level: detection including common detection sources and how incidents are identified; containment strategies to limit blast radius and isolate affected systems; eradication techniques to remove malware or malicious access and to close exploited vulnerabilities; recovery practices such as restoring from clean backups and validating system integrity; and post incident review to capture lessons learned and improve controls. The topic also covers initial triage thinking and operational decision making: how to prioritize alerts by impact, scope, and confidence; what contextual information to collect such as logs, timestamps, affected assets and user activity; how to distinguish true incidents from false positives; and how to classify incidents and assign severity levels. Candidates should be familiar with evidence preservation and chain of custody basics, use of playbooks and runbooks, communication and escalation paths with stakeholders, and common metrics used to evaluate response effectiveness.

HardSystem Design
28 practiced
Design an incident response automation platform that can ingest 100k alerts per day, deduplicate alerts, score/prioritize them, dispatch incidents to on-call, execute safe automated runbook steps, and capture evidence. Provide the major components, data flow, storage considerations, and how you would ensure scale, reliability, and security of the platform.
MediumTechnical
36 practiced
Your on-call rotations suffer from alert fatigue: too many noisy alerts and duplicate pages. Propose a practical program (people, process, tooling) to reduce noise within 3 months. Include short-term steps to reduce immediate noise, medium-term detection improvements, and metrics you would track to measure success.
HardSystem Design
56 practiced
Design a tamper-evident evidence archival pipeline for forensic artifacts at scale. Include signing of artifacts, use of immutable/WORM storage, key management (HSM or KMS), audit logging, access controls, and retention policies. Explain how to prove evidence authenticity and how to rotate or revoke access safely.
HardTechnical
29 practiced
A Kubernetes node has likely been compromised and containers on that node have been modified. Provide a detailed recovery and forensic plan that covers isolating the node, preserving artifacts, rotating cluster credentials, reimaging or replacing nodes, validating the control plane, and hardening to prevent recurrence. Explain sequencing and why each step matters.
MediumTechnical
31 practiced
Coding task in Python: build a memory-efficient utility that reads multiple large newline-delimited JSON log files and extracts, in chronological order, all events that have a given request_id between two timestamps. The function signature should be extract_events(file_paths, request_id, start_ts, end_ts) and must stream files without loading them entirely into memory. Describe edge cases you would handle in production.

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