Conquer the Google Cloud Data Engineer Challenge 2025 – Elevate Your Tech Game!

The correct choice is Cloud Profiler, which is specifically designed to provide insights into the resource consumption of applications, including those run on Dataflow pipelines. It helps identify bottlenecks and inefficient code paths by analyzing the application performance over time.

Cloud Profiler collects data in a low-overhead manner, allowing developers to understand where the most resources are being consumed. This can guide optimizations and adjustments to the pipeline code to improve efficiency and performance. By giving detailed information about function call frequency and execution times, Cloud Profiler helps pinpoint areas in the code that may require further attention to reduce resource consumption.

In contrast, Cloud Monitoring primarily focuses on real-time monitoring of system performance metrics but does not provide granular insights specific to individual code segments. Cloud Logging captures logs from applications and services but does not give detailed breakdowns of resource usage in the context of a pipeline. Cloud Audit Logs track administrative activities and changes but are not relevant for analyzing code performance or resource consumption.