Google Professional-Cloud-Developer유효한최신덤프자료 - Professional-Cloud-Developer시험대비덤프공부

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Deploy applications	- Deploy applications to Google Cloud 1. Manage application rollout strategies 2. Deploy applications to Google Kubernetes Engine 3. Deploy applications using Cloud Run
Build and test applications	- Manage development environments 1. Perform application testing 2. Implement CI/CD pipelines 3. Build application artifacts
Design scalable, available, and reliable cloud-native applications	- Design highly performant applications and APIs 1. Design resilient and scalable application architectures 2. Choose storage options for application data 3. Design secure applications
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Analyze metrics and alerts 2. Configure logging and tracing 3. Optimize application performance
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Implement authentication and authorization 2. Integrate with Google Cloud APIs 3. Use messaging and event-driven services

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Professional-Cloud-Developer시험대비 덤프공부 - Professional-Cloud-Developer합격보장 가능 덤프

Google인증 Professional-Cloud-Developer 시험은 최근 제일 인기있는 인증시험입니다. IT업계에 종사하시는 분들은 자격증취득으로 자신의 가치를 업그레이드할수 있습니다. Google인증 Professional-Cloud-Developer 시험은 유용한 IT자격증을 취득할수 있는 시험중의 한과목입니다. Itcertkr에서 제공해드리는Google인증 Professional-Cloud-Developer 덤프는 여러분들이 한방에 시험에서 통과하도록 도와드립니다. 덤프를 공부하는 과정은 IT지식을 더 많이 배워가는 과정입니다. 시험대비뿐만아니라 많은 지식을 배워드릴수 있는 덤프를Itcertkr에서 제공해드립니다. Itcertkr덤프는 선택하시면 성공을 선택한것입니다.

최신 Cloud Developer Professional-Cloud-Developer 무료샘플문제 (Q390-Q395):

질문 # 390
You are building a CI/CD pipeline that consists of a version control system, Cloud Build, and Container Registry. Each time a new tag is pushed to the repository, a Cloud Build job is triggered, which runs unit tests on the new code builds a new Docker container image, and pushes it into Container Registry. The last step of your pipeline should deploy the new container to your production Google Kubernetes Engine (GKE) cluster.
You need to select a tool and deployment strategy that meets the following requirements:
* Zero downtime is incurred
* Testing is fully automated
* Allows for testing before being rolled out to users
* Can quickly rollback if needed
What should you do?

A. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a shadow test.
B. Trigger a Spinnaker pipeline configured as an A/B test of your new code and, if it is successful, deploy the container to production.
C. Trigger a Spinnaker pipeline configured as a canary test of your new code and, if it is successful, deploy the container to production.
D. Trigger another Cloud Build job that uses the Kubernetes CLI tools to deploy your new container to your GKE cluster, where you can perform a canary test.

정답：A

설명：
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_shado With a shadow test, you test the new version of your application by mirroring user traffic from the current application version without impacting the user requests.

질문 # 391
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. Export the VM as a raw disk and import it as an image. Create a Compute Engine instance from the Imported image.
B. 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.
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 Migrate for Anthos to migrate the VM to your Google Kubernetes Engine (GKE) cluster as a container.

정답：B

설명：
Jib is a tool that builds Docker images from Java code without the need for a Dockerfile. This makes it easy to containerize Java applications, even if you don't have any experience with Docker.

질문 # 392
Your team is writing a backend application to implement the business logic for an interactive voice response (IVR) system that will support a payroll application. The IVR system has the following technical characteristics:
* Each customer phone call is associated with a unique IVR session.
* The IVR system creates a separate persistent gRPC connection to the backend for each session.
* If the connection is interrupted, the IVR system establishes a new connection, causing a slight latency for that call.
You need to determine which compute environment should be used to deploy the backend application. Using current call data, you determine that:
* Call duration ranges from 1 to 30 minutes.
* Calls are typically made during business hours.
* There are significant spikes of calls around certain known dates (e.g., pay days), or when large payroll changes occur.
You want to minimize cost, effort, and operational overhead. Where should you deploy the backend application?

A. Cloud Functions
B. Compute Engine
C. Google Kubernetes Engine cluster in Standard mode
D. Cloud Run

정답：D

설명：
Explanation
This page shows Cloud Run-specific details for developers who want to use gRPC to connect a Cloud Run service with other services, for example, to provide simple, high performance communication between internal microservices. You can use all gRPC types, streaming or unary, with Cloud Run.
Possible use cases include:
Communication between internal microservices.
High loads of data (gRPC uses protocol buffers, which are up to seven times faster than REST calls).
Only a simple service definition is needed, you don't want to write a full client library.
Use streaming gRPCs in your gRPC server to build more responsive applications and APIs.
https://cloud.google.com/run/docs/tutorials/secure-services#:~:text=The%20backend%20service%20is%20priva

질문 # 393
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 FTP to upload files.
D. Use CPanel to upload files.

정답：A

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

질문 # 394
You are writing a single-page web application with a user-interface that communicates with a third-party API for content using XMLHttpRequest. The data displayed on the UI by the API results is less critical than other data displayed on the same web page, so it is acceptable for some requests to not have the API data displayed in the UI. However, calls made to the API should not delay rendering of other parts of the user interface. You want your application to perform well when the API response is an error or a timeout.
What should you do?

A. Catch timeout or error exceptions from the API call and display the error response in the UI widget.
B. Set the asynchronous option for your requests to the API to false and omit the widget displaying the API results when a timeout or error is encountered.
C. Set the asynchronous option for your request to the API to true and omit the widget displaying the API results when a timeout or error is encountered.
D. Catch timeout or error exceptions from the API call and keep trying with exponential backoff until the API response is successful.

정답：B

질문 # 395
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Google인증 Professional-Cloud-Developer시험은 IT인증자격증중 가장 인기있는 자격증을 취득하는 필수시험 과목입니다. Google인증 Professional-Cloud-Developer시험을 패스해야만 자격증 취득이 가능합니다. Itcertkr의Google인증 Professional-Cloud-Developer는 최신 시험문제 커버율이 높아 시험패스가 아주 간단합니다. Google인증 Professional-Cloud-Developer덤프만 공부하시면 아무런 우려없이 시험 보셔도 됩니다. 시험합격하면 좋은 소식 전해주세요.

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