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Which Kafka metric is most useful to monitor consumer lag to prevent outages?

easy🧠 Conceptual Q2 of Q15
Kafka - Monitoring and Operations
Which Kafka metric is most useful to monitor consumer lag to prevent outages?
ABroker CPU usage
BUnder-replicated partitions count
CConsumer lag in messages
DNumber of topics
Step-by-Step Solution
Solution:
  1. Step 1: Identify key metrics related to consumer health

    Consumer lag shows how far behind consumers are from the latest messages.
  2. Step 2: Understand why monitoring consumer lag prevents outages

    High lag means consumers are slow or stuck, risking data loss or delays.
  3. Final Answer:

    Consumer lag in messages -> Option C
  4. Quick Check:

    Consumer lag metric = Prevent consumer outages [OK]
Quick Trick: Monitor consumer lag to catch slow consumers early [OK]
Common Mistakes:
MISTAKES
  • Confusing consumer lag with broker CPU usage
  • Monitoring topic count instead of lag
  • Using under-replicated partitions metric for consumer lag

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