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Google Professional-Cloud-Developer exam is a certification offered by Google Cloud to developers who want to validate their expertise in developing and deploying applications on the Google Cloud Platform. Google Certified Professional - Cloud Developer certification is intended for individuals who have experience in designing, building, testing, and deploying cloud-based applications using Google Cloud technologies such as App Engine, Compute Engine, Kubernetes, and Stackdriver. Professional-Cloud-Developer Exam measures the candidate's proficiency in various areas such as application deployment, cloud storage, security, and monitoring.

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Google Professional-Cloud-Developer Certification Exam is a comprehensive exam that covers a wide range of topics related to cloud development. It tests an individual’s knowledge of the Google Cloud Platform, including the various tools and services available, as well as best practices for developing applications on the platform. Additionally, the exam covers topics such as software development, security, and troubleshooting, ensuring that certified professionals are well-rounded and capable of handling any task related to cloud development.

Google Certified Professional - Cloud Developer Sample Questions (Q189-Q194):

NEW QUESTION # 189
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 PodDisruptionBudget of 80%.
B. Convert the Deployment to a StatefulSet, and perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.
C. Perform a rolling update with a PodDisruptionBudget of 80%.
D. Perform a rolling update with a HorizontalPodAutoscaler scale-down policy value of 0.

Answer: C

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 # 190
You have an application in production. It is deployed on Compute Engine virtual machine instances controlled by a managed instance group. Traffic is routed to the instances via a HTTP(s) load balancer. Your users are unable to access your application. You want to implement a monitoring technique to alert you when the application is unavailable.
Which technique should you choose?

A. Smoke tests
B. Stackdriver uptime checks
C. Managed instance group - heath checks
D. Cloud Load Balancing - heath checks

Answer: B

Explanation:
Reference:
https://medium.com/google-cloud/stackdriver-monitoring-automation-part-3-uptime-checks-
476b8507f59c

NEW QUESTION # 191
You are developing an ecommerce web application that uses App Engine standard environment and Memorystore for Redis. When a user logs into the app, the application caches the user's information (e.g., session, name, address, preferences), which is stored for quick retrieval during checkout.
While testing your application in a browser, you get a 502 Bad Gateway error. You have determined that the application is not connecting to Memorystore. What is the reason for this error?

A. The firewall rule allowing a connection between App Engine and Memorystore was removed during an infrastructure update by the DevOps team.
B. Your Memorystore for Redis instance was deployed without a public IP address.
C. You configured your Serverless VPC Access connector in a different region than your App Engine instance.
D. You configured your application to use a Serverless VPC Access connector on a different subnet in a different availability zone than your App Engine instance.

Answer: B

Explanation:
Reference: https://cloud.google.com/endpoints/docs/openapi/troubleshoot-response-errors

NEW QUESTION # 192
You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version.
Which deployment strategy should you use?

A. Blue/green deployment
B. Recreate deployment
C. Canary deployment
D. Rolling deployment

Answer: A

NEW QUESTION # 193
Your company stores their source code in a Cloud Source Repositories repository. Your company wants to build and test their code on each source code commit to the repository and requires a solution that is managed and has minimal operations overhead.
Which method should they use?

A. Use Cloud Build with a trigger configured for each source code commit.
B. Use Jenkins deployed via the Google Cloud Platform Marketplace, configured to watch for source code commits.
C. Use a source code commit trigger to push a message to a Cloud Pub/Sub topic that triggers an App Engine service to build the source code.
D. Use a Compute Engine virtual machine instance with an open source continuous integration tool, configured to watch for source code commits.

Answer: A

Explanation:
https://cloud.google.com/build/docs/automating-builds/create-manage-
triggers#:~:text=A%20Cloud%20Build%20trigger%20automatically,changes%20that%20match%
20certain%20criteria

NEW QUESTION # 194
......

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