Google Cloud Professional Data Engineer — Question 54

You have a data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of your Cloud Bigtable cluster. Which two actions can you take to accomplish this? (Choose two.)

Answer options

• A. Review Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Read pressure index is above 100.
• B. Review Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Write pressure index is above 100.
• C. Monitor the latency of write operations. Increase the size of the Cloud Bigtable cluster when there is a sustained increase in write latency.
• D. Monitor storage utilization. Increase the size of the Cloud Bigtable cluster when utilization increases above 70% of max capacity.
• E. Monitor latency of read operations. Increase the size of the Cloud Bigtable cluster of read operations take longer than 100 ms.

Correct answer: C, D

Explanation

The correct answers are C and D because monitoring write latency allows you to identify performance issues that may necessitate scaling the cluster, and tracking storage utilization helps ensure that you do not exceed capacity. Options A, B, and E focus on read/write pressure indices and read latency, which are less critical for determining when to expand the cluster.