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Incident Response · Question Set
Automation & IR Tools interview questions for placements and exams.
Questions
14
Included in this set
Subject
Incident Response
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Difficulty
Mixed
Level of this set
Go through each question and its explanation. Use this set as a focused practice pack for Incident Response.
SOAR combines tools, processes, and automation to streamline incident response workflows. It allows security teams to automate repetitive tasks like alert triage, threat enrichment, and remediation actions across systems.
For complete preparation, combine this set with full subject-wise practice for Incident Response. You can also explore other subjects and sets from the links below.
SOAR platforms focus on automating workflows such as alert enrichment, playbook execution, and case management. Hardware procurement is unrelated to incident response automation.
EDR tools collect and analyze data from endpoints such as laptops and servers. They detect suspicious behavior, contain compromised devices, and provide rich forensic data for investigations.
Security Information and Event Management (SIEM) tools like Splunk or QRadar centralize logs from multiple sources. They help detect suspicious patterns by correlating events across network, endpoint, and cloud systems.
SIEM collects and analyzes security events to raise alerts. SOAR takes those alerts, enriches them with context, and automatically executes predefined playbooks for faster resolution.
Threat intelligence feeds enhance automation by adding details like IP reputation or malware family. This helps SOAR or SIEM platforms prioritize alerts and auto-escalate high-risk cases.
A playbook defines workflows to handle common incidents, such as phishing or malware detection. In SOAR systems, playbooks automatically trigger tasks like IP blocking, user notification, and ticket creation.
SOAR reduces manual workload, improves response speed, and enforces process consistency. It helps analysts focus on high-priority investigations while automating repetitive actions like enrichment or containment. Over time, SOAR improves efficiency and reduces alert fatigue.
EDR solutions provide continuous endpoint visibility and real-time detection. They allow analysts to isolate endpoints, gather forensic data, and reverse malicious actions remotely. This reduces investigation time and ensures swift containment.
AI and ML will enable predictive response by identifying patterns before attacks escalate. They will enhance anomaly detection, automate classification of incidents, and optimize playbook decisions based on past success rates. Human analysts will focus more on strategy and complex threat analysis.
Python is widely used in security automation due to its readability and large library ecosystem. It supports integrations with APIs, SIEM systems, and network tools for rapid IR task automation.
APIs allow security systems like SIEM, EDR, and SOAR to communicate seamlessly. For example, a SOAR tool can pull alerts from SIEM, enrich them with threat intel APIs, and execute firewall rules automatically. This interoperability is the backbone of modern IR automation.
1. **Identify repetitive tasks:** Such as alert triage or URL reputation checks. 2. **Define triggers:** What starts the workflow (e.g., SIEM alert). 3. **Outline actions:** List API calls, notifications, and containment steps. 4. **Test and tune:** Validate logic on real alerts. 5. **Monitor and improve:** Review success rates and update as threats evolve.
Challenges include alert overload, poor data quality, and lack of standardization across log sources. Automation can also lead to false positives if correlation rules are too broad. Continuous tuning and validation of automation logic are necessary to maintain accuracy.