Free Google Professional-Cloud-DevOps-Engineer Exam Questions

Question 1

What is the purpose of FluentD logging agents in GKE?

A : To manage API objects on the Kubernetes master.

B : To provide a centralized log management utility.

C : To collect and aggregate container and system logs and push them to Cloud Logging.

D : To automatically scale and ingest terabytes of log data.

Answer: C

Question 2

You work for a company that manages highly sensitive user data. You are designing the Google Kubernetes Engine (GKE) infrastructure for your company, including several applications that will be deployed in development and production environments. Your design must protect data from unauthorized access from other applications while minimizing the amount of management overhead required. What should you do?

A : Create one cluster for the organization with separate namespaces for each application and environment combination.

B : Create one cluster for each environment (development and production) with each application in its own namespace within each cluster.

C : Create one cluster for the organization with separate namespaces for each application.

D : Create one cluster for each application with separate namespaces for production and development environments.

Answer: B

Question 3

The task at hand requires your team to design a new application that will be deployed in Google Kubernetes Engine (GKE). As part of the application design, you need to establish a monitoring system that will collect and consolidate various application-level metrics into a single location. To achieve this, your preference is to utilize Google Cloud Platform services while minimizing the setup process required for the monitoring system.

What actions do you need to take?

A : Publish various metrics from the application directly to the Stackdriver Monitoring API, and then observe these custom metrics in Stackdriver.

B : Emit all metrics in the form of application-specific log messages, pass these messages from the containers to the Stackdriver logging collector, and then observe metrics in Stackdriver.

C : Install the Cloud Pub/Sub client libraries, push various metrics from the application to various topics, and then observe the aggregated metrics in Stackdriver.

D : Install the OpenTelemetry client libraries in the application, configure Stackdriver as the export destination for the metrics, and then observe the application's metrics in Stackdriver.

Answer: A

Question 4

You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?

A : Use the n1-highcpu-96 machine type in the configuration of the MIG.

B : Monitor results of Stackdriver Trace to determine the required amount of resources.

C : Validate that the resource requirements are within the available quota limits of each region.

D : Deploy the service in one region and use a global load balancer to route traffic to this region.