Professional-Cloud-DevOps-Engineer Practice Questions

A.  

Configure the build system with protected branches that require pull request approval.

B.  

Use an Admission Controller to verify that incoming requests originate from approved sources.

C.  

Leverage Kubernetes Role-Based Access Control (RBAC) to restrict access to only approved users.

D.  

Enable binary authorization inside the Kubernetes cluster and configure the build pipeline as an attestor.

A.  

Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

B.  

Deploy a Fluentd daemonset to GK

E.  

C.  

Install Kubernetes on Google Compute Engine (GCE> and redeploy your applications. Then customize the built-in Stackdriver Logging configuration to tail the log file in the application's pods and write to Stackdriver Logging.

D.  

Write a script to tail the log file within the pod and write entries to standard output. Run the script as a sidecar container with the application's pod. Configure a shared volume between the containers to allow the script to have read access to /var/log in the application container.

A.  

Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

B.  

Bucketize the request latencies into ranges, and then compute the median and 90th percentiles.

C.  

Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.

D.  

Count the number of home page requests that load in under 100 ms. and then divide by the total number of all web application requests.

A.  

Create a basic log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

B.  

Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, and then copy the entries to a Cloud Storage bucket.

C.  

Create an advanced log filter matching userinfo, configure a log export in the Stackdriver console with Cloud Storage as a sink, and then configure a tog exclusion with userinfo as a filter.

D.  

Use a Fluentd filter plugin with the Stackdriver Agent to remove log entries containing userinfo, create an advanced log filter matching userinfo, and then configure a log export in the Stackdriver console with Cloud Storage as a sink.

A.  

1. Export VM utilization logs from Stackdriver to BigOuery.2. Create a dashboard in Data Studio.3. Share the dashboard with your stakeholders.

B.  

1. Export VM utilization logs from Stackdriver to Cloud Pub/Sub.2. From Cloud Pub/Sub, send the logs to a Security Information and Event Management (SIEM) system.3. Build the dashboards in the SIEM system and share with your stakeholders.

C.  

1. Export VM utilization logs (rom Stackdriver to BigQuery.2. From BigQuery. export the logs to a CSV file.3. Import the CSV file into Google Sheets.4. Build a dashboard in Google Sheets and share it with your stakeholders.

D.  

1. Export VM utilization logs from Stackdriver to a Cloud Storage bucket.2. Enable the Cloud Storage API to pull the logs programmatically.3. Build a custom data visualization application.4. Display the pulled logs in a custom dashboard.

A.  

Export logs to BigQuery tables for each project team. Grant project teams access to their tables. Grant logs writer access to the operations team in the central logging project.

B.  

Create log views for each project team, and only show each project team their application logs. Grant the operations team access to the _ Al Il-jogs View in the central logging project.

C.  

Grant each project team access to the project _ Default view in the central logging project. Grant logging viewer access to the operations team in the central logging project.

D.  

Create Identity and Access Management (IAM) roles for each project team and restrict access to the _ Default log view in their individual Google Cloud project. Grant viewer access to the operations team in the central logging project.

A.  

Use a partitioned rolling update.

B.  

Use Node taints with NoExecute.

C.  

Use a replica set in the deployment specification.

D.  

Use a stateful set with parallel pod management policy.

A.  

Use the Recommender API and apply the suggested recommendations

B.  

Create an Agent Policy to automatically install Ops Agent in all VMs

C.  

Install the Ops Agent in a fleet of VMs by using the gcloud CLI

D.  

Review the Cloud Monitoring dashboard for the VM and choose the machine type with the lowest CPU utilization

A.  

Roll back the experimental canary release.

B.  

Start monitoring latency, traffic, errors, and saturation.

C.  

Record data for the postmortem document of the incident.

D.  

Trace the origin of 500 errors and the root cause of increased latency.

A.  

Recreate deployment and canary testing

B.  

Blue/green deployment and canary testing

C.  

Rolling update deployment and A/B testing

D.  

Rolling update deployment and shadow testing