Professional-Cloud-DevOps-Engineer試験無料問題集「Google Cloud Certified - Professional Cloud DevOps Engineer 認定」

A. Re-run the unit tests, and start the deployment of the feature if the tests pass.

B. Start the deployment of the feature immediately.

C. Delay the deployment of the feature until the error budget is replenished.

D. Deploy the feature to a subset of users, and gradually roll out to all users if there are no errors reported.

A. Configure the horizontal pod autoscaler to use the average response time from the Liveness and Readiness probes.

B. Configure the vertical pod autoscaler in GKE and enable the cluster autoscaler to scale the cluster as pods expand.

C. Install the Stackdriver custom metrics adapter and configure a horizontal pod autoscaler to use the number of requests provided by the GCLB.

D. Expose the NGINX stats endpoint and configure the horizontal pod autoscaler to use the request metrics exposed by the NGINX deployment.

A. Start a postmortem, add incident information, circulate the draft internally, and ask internal stakeholders for input.

B. Contact the affected service owners and update them on the status of the incident.

C. Establish a communication channel where incident responders and leads can communicate with each other.

D. Look for ways to mitigate user impact and deploy the mitigations to production.

A. 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.

B. Use the default Stackdriver Kubernetes Engine Monitoring agent configuration.

C. 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.

D. Deploy a Fluentd daemonset to GKE. Then create a customized input and output configuration to tail the log file in the application's pods and write to Slackdriver Logging.

A. Create a new JSON service account key for the Google service account store the key as a Kubernetes secret, inject the key into the Pods, and set the boogle_application_credentials environment variable

B. Create a new Google service account, and assign the appropriate 1AM permissions

C. Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods

D. Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account

E. Create a new JSON service account key for the Google service account store the key in the secret management store for the CI/CD tool and configure Terraform to use this key for authentication

A. 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

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 Config Sync to sync the configurations for the three environments

D. 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

A. Use a script to automate the creation of the deployment pipeline in Google Cloud Deploy

B. Create a trigger to notify the required team to complete the next step when manual intervention is required

C. Divide the automation steps into smaller tasks

D. Automate promotion approvals from the development environment to the test environment

E. Add more engineers to finish the manual steps.

A. Proactively add 80% more node capacity to account for six months of 10% growth rate and then perform a load test to ensure that you have enough capacity

B. Because you deployed the service on GKE and are using a cluster autoscaler your GKE cluster will scale automatically regardless of growth rate

C. Because you are only using 30% of deployed CPU capacity there is significant headroom and you do not need to add any additional capacity for this rate of growth

D. Verify the maximum node pool size enable a Horizontal Pod Autoscaler and then perform a load lest to verify your expected resource needs

A. Create a build trigger with the \d+\.\d+\.\d* tag pattern.

B. Create a build trigger with the .* tag pattern.

C. Create a build trigger with the * branch pattern.

D. Create a build trigger with the \d*\.\d+\.\d* branch pattern.

A. Select an availability metric for a window-based method Of evaluation.

B. Select a latency metric for a request-based method of evaluation.

C. Select an availability metric for a request-based method of evaluation.

D. Select a latency metric for a window-based method of evaluation.

A. 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.

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

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

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

A. Use Flex Start mode for the Research team and Calendar mode for the Production team.

B. Use Calendar mode for the Research team and Flex Start mode for the Production team.

C. Use Flex Start mode for both the Research and Production teams.

D. Use Calendar mode for both the Research and Production teams.

A. Update all images in Cloud Run and all functions in Cloud Functions to send logs to both Cloud Logging andthe client's logging service Ensure that all the ports required to send logs are open in the VPC firewall

B. Create a Pub/Sub topic subscription and logging sink Configure the logging sink to send all logs into thetopic Give your client access to the topic to retrieve the logs

C. Create a logs bucket and logging sink. Set the retention on the logs bucket to 365 days Configure thelogging sink to send logs to the bucket Give your client access to the bucket to retrieve the logs

D. Create a storage bucket and appropriate VPC firewall rules Update all images in Cloud Run and allfunctions in Cloud Functions to send logs to a file within the storage bucket

A. Deploy the canary release of the application to Cloud Run Use traffic splitting to direct 10% of user traffic to the canary release based on the revision tag

B. Deploy the canary release of the application to Compute Engine Use Anthos Service Mesh with Compute Engine to direct 10% of user traffic to the canary release by configuring the virtual service.

C. Deploy the canary release of the application to App Engine Use traffic splitting to direct a subset of user traffic to the new version based on the IP address

D. Deploy the canary release to Google Kubernetes Engine with Anthos Sen/ice Mesh Use traffic splitting to direct 10% of user traffic to the new version based on the user-agent header configured in the virtual service