Absolute Free Professional-Cloud-DevOps-Engineer Exam Practice for Comprehensive Preparation 

Your company processes IOT data at scale by using Pub/Sub, App Engine standard environment, and an application written in GO. You noticed that the performance inconsistently degrades at peak load. You could not reproduce this issue on your workstation. You need to continuously monitor the application in production to identify slow paths in the code. You want to minimize performance impact and management overhead. What should you do?

• Install a continuous profiling tool into Compute Engine. Configure the application to send profiling data to the tool.
  

As an online grocery delivery service company, you need to design a new application for deployment both inside and outside Google Cloud Platform (GCP). You want to collect detailed metrics such as system resource utilization using centralized GCP services while minimizing the amount of work required to set up this collection system. What steps should you take?

Your company runs services by using Google Kubernetes Engine (GKE). The GKE clusters in the development environment run applications with verbose logging enabled. Developers view logs by using the kubect1 logs command and do not use Cloud Logging. Applications do not have a uniform logging structure defined. You need to minimize the costs associated with application logging while still collecting GKE operational logs. What should you do?

You have an application running in Google Kubernetes Engine. The application invokes multiple services per request but responds too slowly. You need to identify which downstream service or services are causing the delay. What should you do?