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Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q116-Q121):

NEW QUESTION # 116
You support a high-traffic web application and want to ensure that the home page loads in a timely manner.
As a first step, you decide to implement a Service Level Indicator (SLI) to represent home page request latency with an acceptable page load time set to 100 ms. What is the Google-recommended way of calculating this SLI?

A. Count the number of home page requests that load in under 100 ms, and then divide by the total number of home page requests.
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 all web application requests.
D. Buckelize Ihe request latencies into ranges, and then compute the percentile at 100 ms.

Answer: A

Explanation:
https://sre.google/workbook/implementing-slos/
In the SRE principles book, it's recommended treating the SLI as the ratio of two numbers: the number of good events divided by the total number of events. For example: Number of successful HTTP requests / total HTTP requests (success rate)

NEW QUESTION # 117
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?

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

Answer: A

NEW QUESTION # 118
Your Cloud Run application writes unstructured logs as text strings to Cloud Logging. You want to convert the unstructured logs to JSON-based structured logs. What should you do?

A. Modify the application to use Cloud Logging software development kit (SDK), and send log entries with a jsonPay10ad field.
B. A Install a Fluent Bit sidecar container, and use a JSON parser.
C. Install the log agent in the Cloud Run container image, and use the log agent to forward logs to Cloud Logging.
D. Configure the log agent to convert log text payload to JSON payload.

Answer: A

NEW QUESTION # 119
You are creating a CI/CD pipeline to perform Terraform deployments of Google Cloud resources Your CI/CD tooling is running in Google Kubernetes Engine (GKE) and uses an ephemeral Pod for each pipeline run You must ensure that the pipelines that run in the Pods have the appropriate Identity and Access Management (1AM) permissions to perform the Terraform deployments You want to follow Google-recommended practices for identity management What should you do?
Choose 2 answers

A. 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
B. Assign the appropriate 1AM permissions to the Google service account associated with the Compute Engine VM instances that run the Pods
C. 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
D. Create a new Google service account, and assign the appropriate 1AM permissions
E. Create a new Kubernetes service account, and assign the service account to the Pods Use Workload Identity to authenticate as the Google service account

Answer: D,E

Explanation:
Explanation
The best options for ensuring that the pipelines that run in the Pods have the appropriate IAM permissions to perform the Terraform deployments are to create a new Kubernetes service account and assign the service account to the Pods, and to use Workload Identity to authenticate as the Google service account. A Kubernetes service account is an identity that represents an application or a process running in a Pod. A Google service account is an identity that represents a Google Cloud resource or service. Workload Identity is a feature that allows you to bind Kubernetes service accounts to Google service accounts. By using Workload Identity, you can avoid creating and managing JSON service account keys, which are less secure and require more maintenance. You can also assign the appropriate IAM permissions to the Google service account that corresponds to the Kubernetes service account.

NEW QUESTION # 120
You are building the Cl/CD pipeline for an application deployed to Google Kubernetes Engine (GKE) The application is deployed by using a Kubernetes Deployment, Service, and Ingress The application team asked you to deploy the application by using the blue'green deployment methodology You need to implement the rollback actions What should you do?

A. Scale the new Kubernetes Deployment to zero
B. Delete the new container image, and delete the running Pods
C. Update the Kubernetes Service to point to the previous Kubernetes Deployment
D. Run the kubectl rollout undo command

Answer: C

Explanation:
Explanation
The best option for implementing the rollback actions is to update the Kubernetes Service to point to the previous Kubernetes Deployment. A Kubernetes Service is a resource that defines how to access a set of Pods.
A Kubernetes Deployment is a resource that manages the creation and update of Pods. By using the blue/green deployment methodology, you can create two Deployments, one for the current version (blue) and one for the new version (green), and use a Service to switch traffic between them. If you need to rollback, you can update the Service to point to the previous Deployment (blue) and stop sending traffic to the new Deployment (green).

NEW QUESTION # 121
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Free PDF Quiz 2026 Useful Google Free Professional-Cloud-DevOps-Engineer Test Questions

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Get Professional-Cloud-DevOps-Engineer Exam Questions To Achieve High Score

Google Cloud Certified - Professional Cloud DevOps Engineer Exam Sample Questions (Q116-Q121):

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