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Cloud Profiler and Dataflow Integration

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Questions and Answers

What is the primary function of Cloud Profiler?

Understanding profiling concepts and the Profiler interface

Troubleshooting and monitoring pipeline performance in Dataflow integration

Gathering CPU usage and memory allocation information from production applications (correct)

Enabling the Cloud Profiler API for the project

What permission does the worker service account for the Dataflow job need to create profiles with Cloud Profiler?

cloudprofiler.profiles.update permission

cloudprofiler.profiles.delete permission

cloudprofiler.profiles.create permission (correct)

cloudprofiler.profiles.read permission

How can the Cloud Profiler API be enabled for a project?

By integrating with Cloud Dataflow

By obtaining a specific API key from Google Cloud console

Automatically on accessing the Profiler page for the first time

Using the Google Cloud CLI gcloud command-line tool (correct)

What is the prerequisite for using Cloud Profiler in a project?

Having sufficient quota in the project Signup and view all the answers

What version of Apache Beam SDK is required to enable Cloud Profiler for Dataflow pipelines?

2.33.0 Signup and view all the answers

When can Cloud Profiler be enabled for Dataflow pipelines?

At pipeline start time Signup and view all the answers

What is the expected amortized CPU and memory overhead when Cloud Profiler is enabled for Dataflow pipelines?

Less than 1% Signup and view all the answers

How can you identify user code in the profiling data on the Profiler page?

By identifying frames with the invokeProcessElement suffix Signup and view all the answers

What log type contains the log messages generated by Cloud Profiler during Dataflow worker startup?

dataflow.googleapis.com/worker-startup Signup and view all the answers

What might be a good area for optimization based on the example provided in the text?

ByteArrayCoder Signup and view all the answers