Multiple Choice
You support an e-commerce application that runs on a large Google Kubernetes Engine (GKE) cluster deployed on-premises and on Google Cloud Platform. The application consists of microservices that run in containers. You want to identify containers that are using the most CPU and memory. What should you do?
A) Use Stackdriver Kubernetes Engine Monitoring.
B) Use Prometheus to collect and aggregate logs per container, and then analyze the results in Grafana.
C) Use the Stackdriver Monitoring API to create custom metrics, and then organize your containers using groups.
D) Use Stackdriver Logging to export application logs to BigQuery, aggregate logs per container, and then analyze CPU and memory consumption.
Correct Answer:
Verified
Correct Answer:
Verified
Q3: You have a set of applications running
Q4: Your organization recently adopted a container-based workflow
Q5: You need to reduce the cost of
Q6: You encountered a major service outage that
Q7: You need to deploy a new service
Q9: You use Spinnaker to deploy your application
Q10: You are managing the production deployment to
Q11: Your company follows Site Reliability Engineering practices.
Q12: You are part of an organization that
Q13: Your application images are built and pushed