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Google Professional-Cloud-DevOps-Engineer Exam Dumps

Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Certification Name: Cloud DevOps Engineer

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  • Total Questions: 162
  • Last Updation Date: 16-Apr-2024

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Your team is designing a new application for deployment both inside and outside Google
Cloud Platform (GCP). You need to collect detailed metrics such as system resource
utilization. You want to use centralized GCP services while minimizing the amount of work
required to set up this collection system. What should you do?

 

Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.

 

Import the Stackdriver Debugger package, and configure the application to emit debug messages with timing information.

 

Instrument the code using a timing library, and publish the metrics via a health check endpoint that is scraped by Stackdriver.

 

Install an Application Performance Monitoring (APM) tool in both locations, and
configure an export to a central data storage location for analysis.


Import the Stackdriver Profiler package, and configure it to relay function timing data to Stackdriver for further analysis.






You use Cloud Build to build your application. You want to reduce the build time while minimizing cost and development effort. What should you do?

 

Use Cloud Storage to cache intermediate artifacts.

 

Run multiple Jenkins agents to parallelize the build.

 

Use multiple smaller build steps to minimize execution time.

 

Use larger Cloud Build virtual machines (VMs) by using the machine-type option.


Use multiple smaller build steps to minimize execution time.






You support a trading application written in Python and hosted on App Engine flexible
environment. You want to customize the error information being sent to Stackdriver Error
Reporting. What should you do?

 

Install the Stackdriver Error Reporting library for Python, and then run your code on a
Compute Engine VM.

 

Install the Stackdriver Error Reporting library for Python, and then run your code on Google Kubernetes Engine.

 

Install the Stackdriver Error Reporting library for Python, and then run your code on App
Engine flexible environment.

 

Use the Stackdriver Error Reporting API to write errors from your application to
ReportedErrorEvent, and then generate log entries with properly formatted error messages in Stackdriver Logging.


Install the Stackdriver Error Reporting library for Python, and then run your code on App
Engine flexible environment.




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