Sample Answer
At my last company, our SOC was drowning in noisy alerts — roughly 2,500 SIEM alerts per day for a three-analyst team. Our Tier 1 folks were spending most of their shift closing obvious false positives from endpoint and email rules. I pulled 90 days of SIEM data and mapped the top 20 alert types by volume and closure reason. We saw that three rules accounted for about 45% of volume with a >95% false positive rate. I worked with the IR lead to add better whitelisting (approved admin tools, known vulnerability scanners), tightened thresholds, and added correlation with EDR signals so we only fired when multiple indicators lined up. In parallel, I built a simple SOAR playbook to auto-close a narrow set of well-understood benign alerts. Within six weeks, total alert volume dropped by ~55%, false positives on those rules fell below 20%, and average MTTR for real incidents improved from 3.5 hours to about 1.8 hours because analysts could finally focus on meaningful alerts.
Keywords
Walk me through a recent multi-channel digital marketing campaign you managed end-to-end. How did you set objectives, choose channels, allocate budget, and measure success?
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Based on your hydrology and irrigation engineering background, explain how you would estimate the irrigation water requirement for a kharif crop in a semi-arid region of Gujarat. Walk me through each step: from reference evapotranspiration estimation, crop coefficient selection, effective rainfall calculation, to arriving at canal discharge for a given command area.
Can you explain how you would tailor your sales approach for selling medical products in the telecommunications industry?