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Google Professional-Cloud-Developer certification exam is an excellent opportunity for professionals to validate their knowledge and skills in developing applications on GCP. It is a highly valued certification in the cloud computing industry and can open up numerous career opportunities. Candidates who are interested in taking the exam should have hands-on experience in developing applications on GCP and should take advantage of the training resources offered by Google.

The Professional-Cloud-Developer Exam is intended for developers who have experience in building applications on Google Cloud, and who are looking to demonstrate their expertise to potential employers and clients. Professional-Cloud-Developer exam covers a wide range of topics, including cloud computing concepts, Google Cloud services, application development, and deployment.

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Google Certified Professional - Cloud Developer Sample Questions (Q31-Q36):

NEW QUESTION # 31
You need to deploy a new feature into production on Cloud Run. Your company's SRE team mandates gradual deployments to avoid large downtimes caused by code change errors. You want to configure this deployment with minimal effort. What should you do?

A. Configure the application's frontend load balancer to toggle between the new and old revisions.
B. Deploy the feature with "Serve this revision immediately" checked. Check for errors, roll back to the previous revision, and repeat the process until you have verified that the deployment is bug- free.
C. Configure the application code to send a small percentage of users to the newly deployed revision.
D. Deploy the feature with "Serve this revision immediately" unchecked, and configure the new revision to serve a small percentage of traffic. Check for errors, and increase traffic to the revision as appropriate.

Answer: D

Explanation:
https://cloud.google.com/run/docs/deploying

NEW QUESTION # 32
Your existing application keeps user state information in a single MySQL database. This state information is very user-specific and depends heavily on how long a user has been using an application. The MySQL database is causing challenges to maintain and enhance the schema for various users.
Which storage option should you choose?

A. Cloud Spanner
B. Cloud Storage
C. Cloud SQL
D. Cloud Datastore/Firestore

Answer: C

Explanation:
Reference: https://cloud.google.com/solutions/migrating-mysql-to-cloudsql-concept

NEW QUESTION # 33
You are working on a new application that is deployed on Cloud Run and uses Cloud Functions Each time new features are added, new Cloud Functions and Cloud Run services are deployed You use ENV variables to keep track of the services and enable interservice communication but the maintenance of the ENV variables has become difficult. You want to implement dynamic discovery in a scalable way. What should you do?

A. Configure your microservices to use the Cloud Run Admin and Cloud Functions APIs to query for deployed Cloud Run services and Cloud Functions in the Google Cloud project.
B. Create a Service Directory Namespace Use API calls to register the services during deployment, and query during runtime.
C. Rename the Cloud Functions and Cloud Run services endpoints using a well-documented naming
D. Deploy Hashicorp Consul on a single Compute Engine Instance Register the services with Consul during deployment and query during runtime

Answer: A

Explanation:
convention

NEW QUESTION # 34
You plan to deploy a new application revision with a Deployment resource to Google Kubernetes Engine (GKE) in production. The container might not work correctly. You want to minimize risk in case there are issues after deploying the revision. You want to follow Google-recommended best practices. What should you do?

A. Convert the Deployment to a StatefulSet, and perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.
B. Perform a rolling update with a PodDisruptionBudget of 80%.
C. Perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.
D. Convert the Deployment to a StatefulSet, and perform a rolling update with a PodDisruptionBudget of 80%.

Answer: B

Explanation:
https://cloud.google.com/blog/products/containers-kubernetes/ensuring-reliability-and-uptime-for- your-gke-cluster Setting PodDisruptionBudget ensures that your workloads have a sufficient number of replicas, even during maintenance. Using the PDB, you can define a number (or percentage) of pods that can be terminated, even if terminating them brings the current replica count below the desired value. With PDB configured, Kubernetes will drain a node following the configured disruption schedule. New pods will be deployed on other available nodes. This approach ensures Kubernetes schedules workloads in an optimal way while controlling the disruption based on the PDB configuration.

NEW QUESTION # 35
You want to upload files from an on-premises virtual machine to Google Cloud Storage as part of a data igration. These files will be consumed by Cloud DataProc Hadoop cluster in a GCP environment.
Which command should you use?

A. gcloud dataproc cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
B. gsutil cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
C. hadoop fs cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/
D. gcloud cp [LOCAL_OBJECT] gs://[DESTINATION_BUCKET_NAME]/

Answer: B

Explanation:
The gsutil cp command allows you to copy data between your local file. storage. boto files generated by running "gsutil config"

NEW QUESTION # 36
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