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Google Professional-Cloud-Developer Certification Exam is intended for developers who have experience with Google Cloud Platform, as well as those who are familiar with at least one programming language such as Java, Python, or Node.js. Candidates are expected to have knowledge of cloud application development principles, containerization technologies, and best practices for building scalable and secure applications.

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The Professional-Cloud-Developer certification is a highly rewarding certification that offers a plethora of benefits to both individuals and organizations. Google Certified Professional - Cloud Developer certification validates an individual’s competence and expertise in developing and deploying applications on Google Cloud Platform. Google Certified Professional - Cloud Developer certification can lead to new job opportunities, higher salaries and recognition from peers and employers. It also demonstrates organizational commitment to maintaining high standards of skill and expertise among the workforce.

To become a Google Certified Professional - Cloud Developer, individuals must pass the Professional-Cloud-Developer Certification Exam. Google Certified Professional - Cloud Developer certification exam tests the candidate's knowledge and skills in developing, deploying, and maintaining applications on GCP. Professional-Cloud-Developer exam covers a wide range of topics including GCP services, application deployment, security, and monitoring. Google Certified Professional - Cloud Developer certification is ideal for developers who want to demonstrate their expertise in developing cloud applications on GCP.

Google Certified Professional - Cloud Developer Sample Questions (Q356-Q361):

NEW QUESTION # 356
You need to migrate an internal file upload API with an enforced 500-MB file size limit to App Engine.
What should you do?

A. Use signed URLs to upload files.
B. Change the API to be a multipart file upload API.
C. Use CPanel to upload files.
D. Use FTP to upload files.

Answer: B

Explanation:
By changing the API to support multipart file uploads, you can maintain the functionality of your existing API while adapting it to the App Engine environment.

NEW QUESTION # 357
Your API backend is running on multiple cloud providers. You want to generate reports for the network latency of your API.
Which two steps should you take? (Choose two.)

A. Use Stackdriver Profiler to generate report.
B. Use Zipkin collector to gather data.
C. Use Stackdriver Debugger to generate report.
D. Use Fluentd agent to gather data.
E. Use Stackdriver Trace to generate reports.

Answer: A,E

Explanation:
Explanation/Reference:

NEW QUESTION # 358
Your company's development teams want to use various open source operating systems in their Docker builds. When images are created in published containers in your company's environment, you need to scan them for Common Vulnerabilities and Exposures (CVEs). The scanning process must not impact software development agility. You want to use managed services where possible. What should you do?

A. Disallow the use of non-commercially supported base images in your development environment.
B. Enable the Vulnerability scanning setting in the Container Registry.
C. Create a Cloud Function that is triggered on a code check-in and scan the code for CVEs.
D. Use Cloud Monitoring to review the output of Cloud Build to determine whether a vulnerable version has been used.

Answer: B

Explanation:
https://cloud.google.com/container-analysis/docs/os-overview

NEW QUESTION # 359
You are deploying a microservices application to Google Kubernetes Engine (GKE). The application will receive daily updates. You expect to deploy a large number of distinct containers that will run on the Linux operating system (OS). You want to be alerted to any known OS vulnerabilities in the new containers. You want to follow Google-recommended best practices. What should you do?

A. Use the Container Analysis REST API to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.
B. Enable Container Analysis, and upload new container images to Artifact Registry. Review the vulnerability results before each deployment.
C. Enable Container Analysis, and upload new container images to Artifact Registry. Review the critical vulnerability results before each deployment.
D. Use the gcloud CLI to call Container Analysis to scan new container images. Review the vulnerability results before each deployment.

Answer: A

Explanation:
https://cloud.google.com/container-analysis/docs/automated-scanning-howto
https://cloud.google.com/container-analysis/docs/os-overview says: The Container Scanning API allows you to automate OS vulnerability detection, scanning each time you push an image to Container Registry or Artifact Registry. Enabling this API also triggers language package scans for Go and Java vulnerabilities (Preview).

NEW QUESTION # 360
You work on an application that relies on Cloud Spanner as its main datastore. New application features have occasionally caused performance regressions. You want to prevent performance issues by running an automated performance test with Cloud Build for each commit made. If multiple commits are made at the same time, the tests might run concurrently. What should you do?

A. Create a project with a Cloud Spanner instance and the required data. Adjust the Cloud Build build file to automatically restore the data to its previous state after the test is run.
B. Create a new Cloud Spanner instance for every build. Load the required data. Delete the Cloud Spanner instance after the test is run.
C. Start the Cloud Spanner emulator locally. Load the required data. Shut down the emulator after the test is run.
D. Create a new project with a random name for every build. Load the required data. Delete the project after the test is run.

Answer: B

Explanation:
Since the testing needs to accommodate scenarios where multiple commits are made simultaneously, and hence multiple tests might run concurrently, the testing environment should support isolated and independent testing instances to avoid interference among tests. Given these requirements, using the Cloud Spanner emulator would not be the best choice for this scenario. The emulator is primarily suited for local development, unit, and integration testing, and is not built for production-scale performance testing. It may not accurately replicate performance characteristics at scale or under load, which are crucial aspects in this case.

NEW QUESTION # 361
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