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Question

Difficulty: HardManaging Storage and Database Solutions

Your organization runs a high-traffic e-commerce application on Google Cloud. Analytical clickstream event data is written continuously to a Cloud Bigtable instance, while transactional orders are stored in a Cloud SQL for PostgreSQL instance. Monitoring alerts indicate that CPU utilization on the Cloud Bigtable cluster has exceeded 80% for the past 20 minutes, leading to increased write latency for incoming events. You need to quickly mitigate the Bigtable performance bottleneck without causing data loss or downtime. Which action should you take?

  1. Increase the number of nodes in the Cloud Bigtable cluster.Answer
  2. B
    Migrate the incoming clickstream event writes to a new Cloud SQL read replica.
  3. C
    Configure an Object Lifecycle Management rule to immediately transition raw event logs to Coldline Storage.
  4. D
    Run the gsutil perfdiag command against the Bigtable cluster endpoint to re-index table partitions.

Answer

Increase the number of nodes in the Cloud Bigtable cluster.
Increasing the node count of a Cloud Bigtable cluster immediately adds processing power and storage throughput. Bigtable node scaling is dynamic and zero-downtime, allowing the cluster to rebalance table partitions (tablets) across the new nodes to lower CPU utilization below target thresholds.

Step-by-Step Solution

1
Identify the resource experiencing high CPU utilization and performance degradation.
Cloud Bigtable CPU utilization is exceeding target thresholds (>80%), leading to elevated write latency.
Bigtable performance scales linearly with the number of active nodes allocated to a cluster.
2
Evaluate scaling options for Cloud Bigtable operational management.
Adding nodes to a cluster dynamically increases CPU capacity and I/O bandwidth without downtime.
Bigtable automatically rebalances table partitions (tablets) across the updated node pool.
3
Execute node count expansion via gcloud CLI or Cloud Console.
CPU load per node drops below threshold and write latency returns to normal levels.
This directly resolves the compute bottleneck while preserving live streaming ingestion.

Key Concept

Cloud Bigtable operational scaling and performance management
Estimated Time:2m 0s
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Topics

Managing Storage and Database Solutions