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Google Professional-Cloud-Developer exam is a certification exam that tests an individual's ability to develop and deploy applications on the Google Cloud Platform (GCP). Google Certified Professional - Cloud Developer certification is intended for professionals who have experience in developing cloud-based applications using GCP tools and services. Professional-Cloud-Developer Exam covers topics such as GCP infrastructure, application development, debugging, testing, and deployment.

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To become a Google Certified Professional - Cloud Developer, candidates must pass the Google Professional-Cloud-Developer exam. Google Certified Professional - Cloud Developer certification is recognized by Google Cloud as a validation of the individual's skills and knowledge in cloud development. Google Certified Professional - Cloud Developer certification can help individuals advance their careers by demonstrating their expertise to potential employers and clients.

Google Professional-Cloud-Developer is a certification exam designed to validate the skills and knowledge of cloud developers who use Google Cloud technologies. Professional-Cloud-Developer exam is intended for developers who have experience in building and deploying applications on Google Cloud Platform (GCP) using various programming languages and tools. Professional-Cloud-Developer exam tests candidates on their ability to design, develop, and deploy highly scalable and reliable cloud applications using GCP.

Google Certified Professional - Cloud Developer Sample Questions (Q283-Q288):

NEW QUESTION # 283
Your development team has been asked to refactor an existing monolithic application into a set of composable microservices. Which design aspects should you implement for the new application? (Choose two.)

Answer: C,D


NEW QUESTION # 284
You are designing an application that shares PDF files containing time-sensitive information with users. The PDF files are saved in Cloud Storage. You need to provide secure access to the files.
You have the following requirements:
- Users should only have access to files that they are allowed to view.
- Users should be able to request to read, write, or delete the PDF
files for 24 hours.
Not all users of the application have a Google account. How should you provide access to data objects?

Answer: C

Explanation:
Signed URLs are an effective way to provide secure, time-limited access to files stored in Cloud Storage, especially for users without Google accounts. With signed URLs, the application can grant users access to specific files with a specified expiration time (in this case, 24 hours). The signed URL approach meets the requirement for fine-grained, temporary access control without needing users to authenticate via Google accounts or service account keys, which simplifies the process and improves security.


NEW QUESTION # 285
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

Answer: C

Explanation:
Reference: https://wiki.christophchamp.com/index.php?title=Google_Cloud_Platform


NEW QUESTION # 286
Your operations team has asked you to create a script that lists the Cloud Bigtable, Memorystore, and Cloud SQL databases running within a project. The script should allow users to submit a filter expression to limit the results presented. How should you retrieve the data?

Answer: C

Explanation:
https://cloud.google.com/sdk/gcloud/reference/topic/filters
Most gcloud commands return a list of resources on success. By default they are pretty-printed on the standard output. The --format=NAME[ATTRIBUTES](PROJECTION) and -- filter=EXPRESSION flags along with projections can be used to format and change the default output to a more meaningful result.
Use the --format flag to change the default output format of a command. For details run $ gcloud topic formats.
Use the --filter flag to select resources to be listed. Resource filters are described in detail below.


NEW QUESTION # 287
Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices.
Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code. What should you do?

Answer: A

Explanation:
https://kubernetes.io/docs/concepts/storage/volumes/#nfs
An nfs volume allows an existing NFS (Network File System) share to be mounted into a Pod.
Unlike emptyDir, which is erased when a Pod is removed, the contents of an nfs volume are preserved and the volume is merely unmounted. This means that an NFS volume can be pre- populated with data, and that data can be shared between pods. NFS can be mounted by multiple writers simultaneously.


NEW QUESTION # 288
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