Real Google Professional-Cloud-Developer Exam Questions in PDF Format

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Google Professional-Cloud-Developer exam is an important certification for individuals who want to demonstrate their proficiency in developing and deploying applications on Google Cloud Platform. By passing Professional-Cloud-Developer exam and becoming certified, individuals can validate their skills and knowledge in cloud development, which can help them advance their careers and achieve their professional goals.

Google Professional-Cloud-Developer certification exam is designed for developers who want to demonstrate their expertise in developing applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is intended for individuals who have experience building application infrastructure and coding in GCP environments. Professional-Cloud-Developer Exam covers a wide range of topics, including GCP services such as App Engine, Compute Engine, Kubernetes Engine, and Cloud Functions, as well as other tools and technologies such as Stackdriver Logging and Monitoring, Cloud Endpoints, and Cloud SQL.

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Google Professional-Cloud-Developer exam is a certification exam designed to test your knowledge and skills in developing and deploying applications on the Google Cloud Platform. It is intended for professionals who want to demonstrate their expertise in designing, building, and deploying applications using Google Cloud technologies. Professional-Cloud-Developer Exam is a comprehensive assessment of your understanding of cloud services, application development, and deployment practices.

Google Certified Professional - Cloud Developer Sample Questions (Q15-Q20):

NEW QUESTION # 15
You are a developer at a large organization. You have an application written in Go running in a production Google Kubernetes Engine (GKE) cluster. You need to add a new feature that requires access to BigQuery.
You want to grant BigQuery access to your GKE cluster following Google-recommended best practices. What should you do?

A. Create a Google service account with BigQuery access. Add the JSON key to Secret Manager, and use the Go client library to access the JSON key.
B. Create a Google service account with BigQuery access. Add the Google service account JSON key to Secret Manager, and use an init container to access the secret for the application to use.
C. Create a Google service account with BigQuery access. Add the Google service account JSON key as a Kubernetes secret, and configure the application to use this secret.
D. Create a Google service account and a Kubernetes service account. Configure Workload Identity on the GKE cluster, and reference the Kubernetes service account on the application Deployment.

Answer: D

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity#what_is Applications running on GKE might need access to Google Cloud APIs such as Compute Engine API, BigQuery Storage API, or Machine Learning APIs.
Workload Identity allows a Kubernetes service account in your GKE cluster to act as an IAM service account.
Pods that use the configured Kubernetes service account automatically authenticate as the IAM service account when accessing Google Cloud APIs. Using Workload Identity allows you to assign distinct, fine-grained identities and authorization for each application in your cluster.

NEW QUESTION # 16
Your application is deployed in a Google Kubernetes Engine (GKE) cluster. When a new version of your application is released, your CI/CD tool updates the spec.template.spec.containers[0].image value to reference the Docker image of your new application version. When the Deployment object applies the change, you want to deploy at least
1 replica of the new version and maintain the previous replicas until the new replica is healthy.
Which change should you make to the GKE Deployment object shown below?

A. Set the Deployment strategy to Recreate with maxSurge set to 1, maxUnavailable set to 0.
B. Set the Deployment strategy to Recreate with maxSurge set to 0, maxUnavailable set to 1.
C. Set the Deployment strategy to RollingUpdate with maxSurge set to 1, maxUnavailable set to 0.
D. Set the Deployment strategy to RollingUpdate with maxSurge set to 0, maxUnavailable set to 1.

Answer: C

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/cluster-upgrades The simplest way to take advantage of surge upgrade is to configure maxSurge=1 maxUnavailable=0. This means that only 1 surge node can be added to the node pool during an upgrade so only 1 node will be upgraded at a time. This setting is superior to the existing upgrade configuration (maxSurge=0 maxUnavailable=1) because it speeds up Pod restarts during upgrades while progressing conservatively.

NEW QUESTION # 17
You maintain a popular mobile game deployed on Google Cloud services that include Firebase, Firestore, and Cloud Run functions. Recently, the game experienced a surge in usage, and the application encountered HTTP 429 RESOURCE_EXHAUSTED errors when accessing the Firestore API. The application has now stabilized. You want to quickly fix this issue because your company has a marketing campaign next week and you expect another surge in usage. What should you do?

A. Request a quota increase, and modify the application code to retry the Firestore API call with exponential backoff.
B. Optimize database queries to reduce read/write operations, and modify the application code to retry the Firestore API call with fixed backoff.
C. Optimize database queries to reduce read/write operations, and modify the application code to retry the Firestore API call with exponential backoff.
D. Request a quota increase, and modify the application code to retry the Firestore API call with fixed backoff.

Answer: C

Explanation:
https://cloud.google.com/knowledge/kb/resource-exhausted-errors-found-while-accessing- firestore-or-datastore-via-api-000004804

NEW QUESTION # 18
You need to migrate a standalone Java application running in an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner. You decide not to take the lift-and-shift approach, and instead you plan to modernize the application by converting it to a container. How should you accomplish this task?

A. Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.
B. Use Jib to build a Docker image from your source code, and upload it to Artifact Registry. Deploy the application in a GKE cluster, and test the application.
C. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
D. Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.

Answer: B

Explanation:
https://cloud.google.com/blog/products/application-development/introducing-jib-build-java-docker-images-bette

NEW QUESTION # 19
Your company's development teams want to use Cloud Build in their projects to build and push Docker images to Container Registry. The operations team requires all Docker images to be published to a centralized, securely managed Docker registry that the operations team manages.
What should you do?

A. Create a separate project for the operations team that has Container Registry configured.
Create a Service Account for each development team and assign the appropriate permissions to allow it access to the operations team's registry.
Store the service account key file in the source code repository and use it to authenticate against the operations team's registry.
B. Use Container Registry to create a registry in each development team's project.
Configure the Cloud Build build to push the Docker image to the project's registry.
Grant the operations team access to each development team's registry.
C. Create a separate project for the operations team that has the open source Docker Registry deployed on a Compute Engine virtual machine instance.
Create a username and password for each development team.
Store the username and password in the source code repository and use it to authenticate against the operations team's Docker registry.
D. Create a separate project for the operations team that has Container Registry configured.
Assign appropriate permissions to the Cloud Build service account in each developer team's project to allow access to the operation team's registry.

Answer: D

Explanation:
Container Registry is a good choice to store containers in a secure manageable way. It is possible to have ContainerRegistry in One project and push to it from Cloud Build of another project by adding appropriate service account as a member of a Cloud Storage Bucket used to host containers with the role Cloud Build Service Account.

NEW QUESTION # 20
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