Testing Polly On QnA Style Questions

A 1

The most appropriate solution for a bank that is utilizing Amazon MSK to feed real-time data into a data lake and is experiencing an almost full storage capacity is:

  • ✅ "B. Create an Amazon CloudWatch alarm that monitors the KafkaDataLogsDiskUsed metric. Automatically flush the oldest messages when the value of this metric exceeds 85%".

  • ✅ Here's why:

  1. ✅ Proactive Monitoring: Amazon CloudWatch allows you to monitor the KafkaDataLogsDiskUsed metric, which would help identify when storage is nearing its limit.
  2. ✅ Automated Disk Management: By setting up to automatically flush out the oldest messages when disk usage exceeds 85%, you can manage disk space effectively, preventing the cluster from running out of space.

  • 🔴 Now, let's examine why the other options are not the best choice:

  • ❌ A. Use the Amazon MSK console to triple the broker storage and restart the cluster: Tripling the broker storage would not address the underlying issue of managing the disk space effectively and would also result in unnecessary costs.

  • ❌ C. Create a custom Amazon MSK configuration. Set the log retention hours parameter to 48. Update the cluster with the new configuration file: Reducing the log retention hours to 48 may not suffice for the requirement of data being accessible within 24 hours, and could potentially lead to loss of data.

  • ❌ D. Triple the number of consumers to ensure that data is consumed as soon as it is added to a topic: The number of consumers does not directly influence the storage usage in an Amazon MSK cluster. Moreover, tripling the consumers might introduce unnecessary cost and complexity.

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