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Google Professional-Cloud-Developer certification is an essential credential for developers who want to enhance their skills and knowledge in cloud computing. Google Certified Professional - Cloud Developer certification is recognized globally and is highly sought-after in the cloud computing industry. Professional-Cloud-Developer exam is designed to test the candidate's proficiency in developing and implementing cloud-based solutions on the Google Cloud Platform. Passing the exam is a major asset for the candidate's career growth and opens up new opportunities in cloud computing.
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.
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Earning the Google Professional-Cloud-Developer Certification can be a significant career milestone for developers. It demonstrates to employers and clients that the individual has the skills and knowledge needed to develop cloud-based solutions on the Google Cloud Platform. It can also open up new job opportunities and increase earning potential.
Google Certified Professional - Cloud Developer Sample Questions (Q287-Q292):
NEW QUESTION # 287
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 Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.
- B. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
- C. Use Migrate for Compute Engine to migrate the VM to a Compute Engine instance, and use Cloud Build to convert it to a container.
- D. 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.
Answer: D
Explanation:
https://cloud.google.com/blog/products/application-development/introducing-jib-build-java-docker-images-better
NEW QUESTION # 288
You are developing a new application that has the following design requirements:
Creation and changes to the application infrastructure are versioned and auditable.
The application and deployment infrastructure uses Google-managed services as much as possible.
The application runs on a serverless compute platform.
How should you design the application's architecture?
- A. 1. Deploy Jenkins from the Google Cloud Marketplace, and define a continuous integration pipeline in Jenkins.
2. Configure a pipeline step to pull the application source code from a Git repository.
3. Deploy the application source code to App Engine as a pipeline step. - B. 1. Store the application and infrastructure source code in a Git repository.
2. Use Cloud Build to deploy the application infrastructure with Terraform.
3. Deploy the application to a Cloud Function as a pipeline step. - C. 1. Create a continuous integration pipeline on Cloud Build, and configure the pipeline to deploy the application infrastructure using Deployment Manager templates.
2. Configure a pipeline step to create a container with the latest application source code.
3. Deploy the container to a Compute Engine instance as a pipeline step. - D. 1. Deploy the application infrastructure using gcloud commands.
2. Use Cloud Build to define a continuous integration pipeline for changes to the application source code.
3. Configure a pipeline step to pull the application source code from a Git repository, and create a containerized application.
4. Deploy the new container on Cloud Run as a pipeline step.
Answer: D
Explanation:
Reference: https://cloud.google.com/docs/ci-cd
NEW QUESTION # 289
You have a web application that publishes messages to Pub/Sub. You plan to build new versions of the application locally and need to quickly test Pub/Sub integration for each new build. How should you configure local testing?
- A. Install the Pub/Sub emulator using gcloud, and start the emulator with a valid Google Project ID.
When developing locally, configure your applicat.cn to use the local emulator by exporting the PUBSUB_EMULATOR_HOST variable. - B. Run the gcloud config set api_endpoint_overrides/pubsub
https://pubsubemulator.googleapis.com.com/ command to change the Pub/Sub endpoint prior to starting the application. - C. In the Google Cloud console, navigate to the API Library, and enable the Pub/Sub API. When developing locally configure your application to call pubsub.googleapis.com.
- D. Install Cloud Code on the integrated development environment (IDE). Navigate to Cloud APIs, and enable Pub/Sub against a valid Google Project IWhen developing locally, configure your application to call pubsub.googleapis.com.
Answer: A
Explanation:
For local testing of Pub/Sub integration in a web application, installing and using the Pub/Sub emulator is the most efficient approach. The emulator can be installed via gcloud and started with a valid Google Project ID. Configuring your application to use the emulator locally is done by setting the PUBSUB_EMULATOR_HOST environment variable.
https://cloud.google.com/pubsub/docs/emulator
NEW QUESTION # 290
You are developing an application that will handle requests from end users. You need to secure a Cloud Function called by the application to allow authorized end users to authenticate to the function via the application while restricting access to unauthorized users. You will integrate Google Sign-In as part of the solution and want to follow Google-recommended best practices. What should you do?
- A. Deploy from a source code repository and grant users the roles/cloudfunctions.invoker role
- B. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.admin role
- C. Deploy from a source code repository and grant users the roles/cloudfunctions.viewer role.
- D. Deploy from your local machine using gcloud and grant users the roles/cloudfunctions.developer role
Answer: B
NEW QUESTION # 291
You are developing a web application that will be accessible over both HTTP and HTTPS and will run on Compute Engine instances. On occasion, you will need to SSH from your remote laptop into one of the Compute Engine instances to conduct maintenance on the app. How should you configure the instances while following Google-recommended best practices?
- A. Set up a backend with Compute Engine web server instances with a private IP address behind a TCP proxy load balancer.
- B. Set up a backend with Compute Engine web server instances with a private IP address behind an HTTP(S) load balancer. Set up a bastion host with a public IP address and open firewall ports. Connect to the web instances using the bastion host.
- C. Configure the firewall rules to allow all ingress traffic to connect to the Compute Engine web servers, with each server having a unique external IP address.
- D. Configure Cloud Identity-Aware Proxy API for SSH access. Then configure the Compute Engine servers with private IP addresses behind an HTTP(s) load balancer for the application web traffic.
Answer: D
NEW QUESTION # 292
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