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Answer: Integrate your application with Cloud Trace by instrumenting it to submit traces
Option C is the correct choice because Cloud Trace provides insights into how requests flow through various components of an application, such as microservices or functions. Options A and D, while useful for monitoring and logging, do not offer the same level of detail regarding request propagation. Option B, focusing on CPU utilization, does not address the request flow through the application's components. For more information, refer to the Cloud Trace documentation at https://cloud.google.com/trace/docs/setup.
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As a support provider for a Python application running on Compute Engine, you've noticed complaints about its sluggish response. To delve into how requests navigate through your application, what step should you take?
A
Deploy the monitoring agent and forward metrics to Cloud Monitoring
B
Set up a dashboard to keep an eye on the Compute Engine's CPU usage
C
Integrate your application with Cloud Trace by instrumenting it to submit traces
D
Utilize the logging agent to dispatch logs to Cloud Logging