Which action can help identify slow sections of your workspace?

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Multiple Choice

Which action can help identify slow sections of your workspace?

Explanation:
Timing information in execution logs is essential for spotting slow sections of a workspace. Turning on additional log timestamp information provides precise start and end times for each transformer and processing step, so you can see exactly where the time is being spent. With those timestamps, you can identify bottlenecks, such as a particular transformer handling a large volume of features slowly or a read/write step that dominates the total runtime. This gives you a concrete target for optimization and helps you compare performance across runs or configurations. The other options don’t give you that visibility. Adding transformers changes the workflow but doesn’t reveal where time is being consumed. Turning off logging removes the timing data you’d rely on to locate slow sections. Rebuilding the workspace alters the design, not the execution timing, so it won’t help you identify performance bottlenecks.

Timing information in execution logs is essential for spotting slow sections of a workspace. Turning on additional log timestamp information provides precise start and end times for each transformer and processing step, so you can see exactly where the time is being spent. With those timestamps, you can identify bottlenecks, such as a particular transformer handling a large volume of features slowly or a read/write step that dominates the total runtime. This gives you a concrete target for optimization and helps you compare performance across runs or configurations.

The other options don’t give you that visibility. Adding transformers changes the workflow but doesn’t reveal where time is being consumed. Turning off logging removes the timing data you’d rely on to locate slow sections. Rebuilding the workspace alters the design, not the execution timing, so it won’t help you identify performance bottlenecks.

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