Free Professional Cloud DevOps Engineer Exam Professional-Cloud-DevOps-Engineer Exam Practice Test

Your team of Infrastructure DevOps Engineers is growing, and you are starting to use Terraform to manage infrastructure. You need a way to implement code versioning and to share code with other team members. What should you do?

• Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.
• Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.
• Store the Terraform code in a Cloud Storage bucket using object versioning. Give access to the bucket to every team member so they can download the files.
• Store the Terraform code in a shared Google Drive folder so it syncs automatically to every team member’s computer. Organize files with a naming convention that identifies each new version.

Your team uses Cloud Build for all CI/CO pipelines. You want to use the kubectl builder for Cloud Build to deploy new images to Google Kubernetes Engine (GKE). You need to authenticate to GKE while minimizing development effort. What should you do?

• Assign the Container Developer role to the Cloud Build service account.
• Specify the Container Developer role for Cloud Build in the cloudbuild.yaml file.
• Create a new service account with the Container Developer role and use it to run Cloud Build.
• Create a separate step in Cloud Build to retrieve service account credentials and pass these to kubectl.

Your company follows Site Reliability Engineering principles. You are writing a postmortem for an incident, triggered by a software change, that severely affected users. You want to prevent severe incidents from happening in the future. What should you do?

• Identify engineers responsible for the incident and escalate to their senior management.
• Ensure that test cases that catch errors of this type are run successfully before new software releases.
• Follow up with the employees who reviewed the changes and prescribe practices they should follow in the future.
• Design a policy that will require on-call teams to immediately call engineers and management to discuss a plan of action if an incident occurs.

You are managing an application that runs in Compute Engine The application uses a custom HTTP server to expose an API that is accessed by other applications through an internal TCP/UDP load balancer A firewall rule allows access to the API port from 0.0.0-0/0. You need to configure Cloud Logging to log each IP address that accesses the API by using the fewest number of steps What should you do Bret?

• Enable Packet Mirroring on the VPC
• Install the Ops Agent on the Compute Engine instances.
• Enable logging on the firewall rule
• Enable VPC Flow Logs on the subnet

Your development team has created a new version of their service’s API. You need to deploy the new versions of the API with the least disruption to third-party developers and end users of third-party installed applications. What should you do?

• Introduce the new version of the API.
• Announce deprecation of the old version of the API. Deprecate the old version of the API.
• Contact remaining users of the old API.
• Provide best effort support to users of the old API. Turn down the old version of the API.
• Announce deprecation of the old version of the API. Introduce the new version of the API.
• Contact remaining users on the old API. Deprecate the old version of the API. Turn down the old version of the API.
• Provide best effort support to users of the old API. C.
• Announce deprecation of the old version of the API. Contact remaining users on the old API.
• Introduce the new version of the API. Deprecate the old version of the API.
• Provide best effort support to users of the old API. Turn down the old version of the API.
• Introduce the new version of the API. Contact remaining users of the old API.
• Announce deprecation of the old version of the API. Deprecate the old version of the API.
• Turn down the old version of the API.
• Provide best effort support to users of the old API.

Your company runs applications in Google Kubernetes Engine (GKE). Several applications rely onephemeral volumes. You noticed some applications were unstable due to the DiskPressure node condition on the worker nodes. You needto identify which Pods are causing the issue, but you do not have execute access to workloads and nodes. What should you do?

• Check the node/ephemeral_storage/used_bytes metric by using Metrics Explorer.
• Check the metric by using Metrics Explorer.
• Locate all the Pods with emptyDir volumes. use the df-h command to measure volume disk usage.
• Locate all the Pods with emptyDir volumes. Use the du -sh * command to measure volume disk usage.

You are performing a semiannual capacity planning exercise for your flagship service. You expect a service user growth rate of 10% month-over-month over the next six months. Your service is fully containerized and runs on Google Cloud Platform (GCP). using a Google Kubernetes Engine (GKE) Standard regional cluster on three zones with cluster autoscaler enabled. You currently consume about 30% of your total deployed CPU capacity, and you require resilience against the failure of a zone. You want to ensure that your users experience minimal negative impact as a result of this growth or as a result of zone failure, while avoiding unnecessary costs. How should you prepare to handle the predicted growth?

• Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.
• Because you are deployed on GKE and are using a cluster autoscaler. your GKE cluster will scale automatically, regardless of growth rate.
• Because you are at only 30% utilization, you have significant headroom and you won't need to add any additional capacity for this rate of growth.
• Proactively add 60% more node capacity to account for six months of 10% growth rate, and then perform a load test to make sure you have enough capacity.

Your company operates in a highly regulated domain that requires you to store all organization logs for seven years You want to minimize logging infrastructure complexity by using managed services You need to avoid any future loss of log capture or stored logs due to misconfiguration or human error What should you do?

• Use Cloud Logging to configure an aggregated sink at the organization level to export all logs into a BigQuery dataset
• Use Cloud Logging to configure an aggregated sink at the organization level to export all logs into Cloud Storage with a seven-year retention policy and Bucket Lock
• Use Cloud Logging to configure an export sink at each project level to export all logs into a BigQuery dataset
• Use Cloud Logging to configure an export sink at each project level to export all logs into Cloud Storage with a seven-year retention policy and Bucket Lock

You are configuring Cloud Logging for a new application that runs on a Compute Engine instance with a public IP address. A user-managed service account is attached to the instance. You confirmed that the necessary agents are running on the instance but you cannot see any log entries from the instance in Cloud Logging. You want to resolve the issue by following Google-recommended practices. What should you do?Add the Logs Writer role to the service account.Enable Private Google Access on the subnet that the instance is in. Update the instance to use the default Compute Engine service account. Export the service account key and configure the agents to use the key.

Your product is currently deployed in three Google Cloud Platform (GCP) zones with your users divided between the zones. You can fail over from one zone to another, but it causes a 10-minute service disruption for the affected users. You typically experience a database failure once per quarter and can detect it within five minutes. You are cataloging the reliability risks of a new real-time chat feature for your product. You catalog the following information for each risk:Mean Time to Detect (MUD} in minutesMean Time to Repair (MTTR) in minutesMean Time Between Failure (MTBF) in daysUser Impact PercentageThe chat feature requires a new database system that takes twice as long to successfully fail over between zones. You want to account for the risk of the new database failing in one zone. What would be the values for the risk of database failover with the new system?

• MTTD: 5
• MTTR: 10
• MTBF: 90
• Impact: 33% B.
• MTTD:5 MTTR: 20
• MTBF: 90
• Impact: 33% C.
• MTTD:5 MTTR: 10
• MTBF: 90
• Impact 50% D.
• MTTD:5
• MTTR: 20
• MTBF: 90
• Impact: 50%