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Google Professional-Cloud-Developer Certification is a highly recognized certification exam that aims to validate an individual¡¯s ability to develop, deploy, and manage applications on Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is designed for developers who are familiar with GCP and have experience in software development, and who want to demonstrate their skills and knowledge.
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To prepare for the Google Professional-Cloud-Developer exam, Google Cloud recommends a hands-on approach, which means getting acquainted with Google Cloud technology and attending training courses to get practical experience. Additionally, there are some Google-approved resources like the Google Cloud documentation, Google Cloud Platform Console, and the Resource Manager console. Professional-Cloud-Developer Exam Fee is $200 and is available in multiple languages, where candidates can schedule and take the exam according to their convenience. Google Certified Professional - Cloud Developer Sample Questions (Q233-Q238):NEW QUESTION # 233
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?
A. ReplicaSet
B. ReplicaController
C. Deployment
D. StatefulSet
Answer: D
Explanation:
The state information and other resilient data for any given StatefulSet Pod is maintained in persistent disk storage associated with the StatefulSet. https://cloud.google.com/kuberne ... oncepts/statefulset
NEW QUESTION # 234
Your team develops stateless services that run on Google Kubernetes Engine (GKE). You need to deploy a new service that will only be accessed by other services running in the GKE cluster. The service will need to scale as quickly as possible to respond to changing load. What should you do?
A. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
B. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
C. Use a Vertical Pod Autoscaler to scale the containers, and expose them via a ClusterIP Service.
D. Use a Horizontal Pod Autoscaler to scale the containers, and expose them via a NodePort Service.
NEW QUESTION # 235
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. Use Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.
D. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
NEW QUESTION # 236
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. The application exposes an HTTP-based health check at /healthz. You want to use this health check endpoint to determine whether traffic should be routed to the pod by the load balancer.
Which code snippet should you include in your Podconfiguration?
A.
B.
C.
D.
Answer: B
Explanation:
For the GKE ingress controller to use your readinessProbes as health checks, the Pods for an Ingress must exist at the time of Ingress creation. If your replicas are scaled to 0, the default health check will apply.
NEW QUESTION # 237
You are planning to migrate a MySQL database to the managed Cloud SQL database for Google Cloud. You have Compute Engine virtual machine instances that will connect with this Cloud SQL instance. You do not want to whitelist IPs for the Compute Engine instances to be able to access Cloud SQL.
What should you do?
A. Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.
B. Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.
C. Enable private IP for the Cloud SQL instance.
D. Create a CloudSQL instance on one project. Create Compute engine instances in a different project.
Create a VPN between these two projects to allow internal access to CloudSQL.
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