Skip to main content
🔒 Preview mode. The first 15 Foundations lessons are free; this one is Pro. Start a 7-day trial to unlock the editor, AI hints and the rest of the curriculum. Card required, cancel any time in Dashboard.
Start 7-day trial →
⚡
← Courses
›
DevOps for Python services
›
Module 1 · Docker & Containers · Recap
›
Chaos engineering basics
quiz
31 / 104
🇺🇸
EN
▼
↗
Share
⋯
More
+100 XP
📋
Task
📖
Theory
🤖
AI Help
Task
📝 **Question:** What's the FIRST step before injecting chaos in production? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
🎯 Quiz
Question
📝 **Question:** What's the FIRST step before injecting chaos in production? 📋 Pick the right answer. 💡 **Hint:** Re-read the theory above if unsure.
A
Kill a random pod in prod during business hours — the on-call rotation will surface the customer-facing fallout immediately and the team can patch the worst gap before the next drill
B
Define and measure your steady-state hypothesis
C
Send a status-page banner to every paying customer announcing the drill in advance — pre-warned users tolerate the failure and the support backlog stays well within the SLA window
D
Disable monitoring during the drill so paging noise doesn't wake the team — the post-mortem can reconstruct what failed from the application logs once the experiment window ends
Submit answer
💬 Discussion
Be the first to ask a question or share a tip.
Sign in
to join the discussion. Reading is free.
Loading discussion…