Online Access Free Professional-Cloud-DevOps-Engineer Practice Test

Your company is creating a new cloud-native Google Cloud organization. You expect this Google Cloud organization to first be used by a small number of departments and then expand to be used by a large number of departments. Each department has a large number of applications varying in size. You need to design the VPC network architecture. Your solution must minimize the amount of management required while remaining flexible enough for development teams to quickly adapt to their evolving needs. What should you do?

• A.Create a separate VPC for each department and connect the VPCs with VPC Network Peering.
• B.Create a separate VPC for each department and connect the VPCs with Cloud VPN.
• C.Create a separate VPC for each department and use Private Service Connect to connect the VPCs.
• D.Create a separate VPC for each application and use Private Service Connect to connect the VPCs.

You work for a global organization and are running a monolithic application on Compute Engine You need to select the machine type for the application to use that optimizes CPU utilization by using the fewest number of steps You want to use historical system metncs to identify the machine type for the application to use You want to follow Google-recommended practices What should you do?

• A.Use the Recommender API and apply the suggested recommendations
• B.Create an Agent Policy to automatically install Ops Agent in all VMs
• C.Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization
• D.Install the Ops Agent in a fleet of VMs by using the gcloud CLI

You are using Stackdriver to monitor applications hosted on Google Cloud Platform (GCP). You recently deployed a new application, but its logs are not appearing on the Stackdriver dashboard.
You need to troubleshoot the issue. What should you do?

• A.Confirm that the Stackdriver agent has been installed in the hosting virtual machine.
• B.Confirm that your account has the proper permissions to use the Stackdriver dashboard.
• C.Confirm that port 25 has been opened in the firewall to allow messages through to Stackdriver.
• D.Confirm that the application is using the required client library and the service account key has proper permissions.

You are responsible for the reliability of a high-volume enterprise application. A large number of users report that an important subset of the application's functionality - a data intensive reporting feature - is consistently failing with an HTTP 500 error. When you investigate your application's dashboards, you notice a strong correlation between the failures and a metric that represents the size of an internal queue used for generating reports. You trace the failures to a reporting backend that is experiencing high I/O wait times. You quickly fix the issue by resizing the backend's persistent disk (PD). How you need to create an availability Service Level Indicator (SLI) for the report generation feature. How would you define it?

• A.As the I/O wait times aggregated across all report generation backends
• B.As the application's report generation queue size compared to a known-good threshold
• C.As the reporting backend PD throughout capacity compared to a known-good threshold
• D.As the proportion of report generation requests that result in a successful response

Your team deploys applications to three Google Kubernetes Engine (GKE) environments development staging and production You use GitHub reposrtones as your source of truth You need to ensure that the three environments are consistent You want to follow Google-recommended practices to enforce and install network policies and a logging DaemonSet on all the GKE clusters in those environments What should you do?

• A.Use Cloud Build to render and deploy the network policies and the DaemonSet Set up Config Sync to sync the configurations for the three environments
• B.Use Google Cloud Deploy to deploy the network policies and the DaemonSet Use Cloud Monitoring to trigger an alert if the network policies and DaemonSet drift from your source in the repository.
• C.Use Cloud Build to render and deploy the network policies and the DaemonSet Set up a Policy Controller to enforce the configurations for the three environments
• D.Use Google Cloud Deploy to deploy the DaemonSet and use Policy Controller to configure the network policies Use Cloud Monitoring to detect drifts from the source in the repository and Cloud Functions tocorrect the drifts