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Professional-Cloud-DevOps-Engineer Exam Dumps - Google Cloud DevOps Engineer Questions and Answers

Question # 4

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?

Options:

A.

As the I/O wait times aggregated across all report generation backends

B.

As the proportion of report generation requests that result in a successful response

C.

As the application’s report generation queue size compared to a known-good threshold

D.

As the reporting backend PD throughout capacity compared to a known-good threshold

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Question # 5

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?

Options:

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.

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Question # 6

You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?

Options:

A.

Create a new pipeline to delete old infrastructure stacks when they are no longer needed

B.

Confirm that the pipeline is storing and retrieving the terraform. if state file from Cloud Storage with the Terraform gcs backend

C.

Verify that the pipeline is storing and retrieving the terrafom.tfstat* file from a source control

D.

Update the pipeline to remove any existing infrastructure before you apply the latest configuration

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Question # 7

Your organization uses a change advisory board (CAB) to approve all changes to an existing service You want to revise this process to eliminate any negative impact on the software delivery performance What should you do?

Choose 2 answers

Options:

A.

Replace the CAB with a senior manager to ensure continuous oversight from development to deployment

B.

Let developers merge their own changes but ensure that the team's deployment platform can roll back changes if any issues are discovered

C.

Move to a peer-review based process for individual changes that is enforced at code check-in time and supported by automated tests

D.

Batch changes into larger but less frequent software releases

E.

Ensure that the team's development platform enables developers to get fast feedback on the impact of their changes

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Question # 8

Your company is developing applications that are deployed on Google Kubernetes Engine (GKE). Each team manages a different application. You need to create the development and production environments for each team, while minimizing costs. Different teams should not be able to access other teams’ environments. What should you do?

Options:

A.

Create one GCP Project per team. In each project, create a cluster for Development and one for Production. Grant the teams IAM access to their respective clusters.

B.

Create one GCP Project per team. In each project, create a cluster with a Kubernetes namespace for Development and one for Production. Grant the teams IAM access to their respective clusters.

C.

Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Identity Aware Proxy so that each team can only access its own namespace.

D.

Create a Development and a Production GKE cluster in separate projects. In each cluster, create a Kubernetes namespace per team, and then configure Kubernetes Role-based access control (RBAC) so that each team can only access its own namespace.

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Question # 9

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?

Options:

A.

Verity the maximum node pool size, enable a horizontal pod autoscaler, and then perform a load test to verity your expected resource needs.

B.

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

C.

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.

D.

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.

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Question # 10

You support a production service that runs on a single Compute Engine instance. You regularly need to spend time on recreating the service by deleting the crashing instance and creating a new instance based on the relevant image. You want to reduce the time spent performing manual operations while following Site Reliability Engineering principles. What should you do?

Options:

A.

File a bug with the development team so they can find the root cause of the crashing instance.

B.

Create a Managed Instance Group with a single instance and use health checks to determine the system status.

C.

Add a Load Balancer in front of the Compute Engine instance and use health checks to determine the system status.

D.

Create a Stackdriver Monitoring dashboard with SMS alerts to be able to start recreating the crashed instance promptly after it has crashed.

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Question # 11

You support a popular mobile game application deployed on Google Kubernetes Engine (GKE) across several Google Cloud regions. Each region has multiple Kubernetes clusters. You receive a report that none of the users in a specific region can connect to the application. You want to resolve the incident while following Site Reliability Engineering practices. What should you do first?

Options:

A.

Reroute the user traffic from the affected region to other regions that don’t report issues.

B.

Use Stackdriver Monitoring to check for a spike in CPU or memory usage for the affected region.

C.

Add an extra node pool that consists of high memory and high CPU machine type instances to the cluster.

D.

Use Stackdriver Logging to filter on the clusters in the affected region, and inspect error messages in the logs.

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Question # 12

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?

Options:

A.

Store the Terraform code in a version-control system. Establish procedures for pushing new versions and merging with the master.

B.

Store the Terraform code in a network shared folder with child folders for each version release. Ensure that everyone works on different files.

C.

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.

D.

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.

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Question # 13

Your organization has a containerized web application that runs on-premises As part of the migration plan to Google Cloud you need to select a deployment strategy and platform that meets the following acceptance criteria

1 The platform must be able to direct traffic from Android devices to an Android-specific microservice

2 The platform must allow for arbitrary percentage-based traffic splitting

3 The deployment strategy must allow for continuous testing of multiple versions of any microservice

What should you do?

Options:

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 App Engine Use traffic splitting to direct a subset of user traffic to the new version based on the IP address

C.

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.

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

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Exam Name: Google Cloud Certified - Professional Cloud DevOps Engineer Exam
Last Update: Feb 18, 2025
Questions: 162
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