Exam Cloud Digital Leader topic 1 question 170 discussion

Cloud Debugger solves the problem of isolating issues that occur only in production. By letting you inspect the state of a running application in real time, without stopping or slowing it down, Debugger helps you solve problems that can be impossible to reproduce in a local environment. Debugger also saves time by eliminating the process of redeploying applications just to add logging statements. Some issues only arise in production—and debugging locally isn't an option. At other times, redeploying resolves the issue for some period of time, but the root cause of the problem hasn't been corrected. When this happens, use Cloud Debugger to find the problem by taking snapshots of variables and the call stack and injecting debug logpoints in your running application. Your users are not affected while you capture the call stack and variables at any location in your source code.

A is correct

A is correct.

Debugger - inspect states of running app after deployment Profiler - Analyze performance Cloud Monitoring - Analyze metrics of all apps and infrastructures Trace - analysis to understand request flow, service topology, and latency issues

https://cloud.google.com/debugger/docs/setup Cloud Debugger solves the problem of isolating issues that occur only in production. By letting you inspect the state of a running application in real time, without stopping or slowing it down, Debugger helps you solve problems that can be impossible to reproduce in a local environment. Debugger also saves time by eliminating the process of redeploying applications just to add logging statements. Some issues only arise in production—and debugging locally isn't an option. At other times, redeploying resolves the issue for some period of time, but the root cause of the problem hasn't been corrected. When this happens, use Cloud Debugger to find the problem by taking snapshots of variables and the call stack and injecting debug logpoints in your running application. Your users are not affected while you capture the call stack and variables at any location in your source code.

The organization should use Google Cloud Debugger to better understand the behavior of their code in production and analyze its state to identify hard-to-find programming errors.

The tool that the organization should use to better understand the behavior of their code in production and analyze its state to identify hard-to-find programming errors is option D, Trace. Google Cloud Trace is a distributed tracing system that helps in collecting, analyzing, and debugging distributed systems. It allows developers to trace the path of a request through a complex system, and it provides detailed information about latency and other performance metrics. With Trace, organizations can identify and diagnose hard-to-find programming errors, optimize application performance, and improve the end-user experience.

A is correct

A is the answer

I think its A

It should be A

Cloud Debugger helps monitor application performance. IT teams can inspect the state of a running application in real time, without stopping or slowing it down. This means that end users are not affected while a developer searches the source code. IT teams can use it to understand the behavior of their code in production and analyze its state to find those hard-to-find bugs.

Profiler is the tool that an organization should use to better understand the behavior of their code in production and analyze its state to identify hard-to-find programming errors. It provides detailed performance data, including CPU and heap usage, that can be used to identify performance bottlenecks and memory leaks. Additionally, it allows you to profile your code in real time and see the source code

the answer is Debugger. Cloud Debugger Investigate code behavior in production instead Cloud Monitoring and Cloud Logging to monitor the health and performance