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[General] Professional-Cloud-Developer最新考題是通過Google Certified Professional - Cloud Develop

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【General】 Professional-Cloud-Developer最新考題是通過Google Certified Professional - Cloud Develop

Posted at yesterday 19:08      View：3 | Replies：0        Print      Only Author   [Copy Link] 1#
Professional-Cloud-Developer 認證基於 Google 雄厚的技術實力，和不斷上升的市場佔有率的影響，其認證考試也有條不紊地在全國範圍逐步展開，越來越多的考生要參加 Google 的Professional-Cloud-Developer 考試。作為權威的認證，Professional-Cloud-Developer 認證考試也是十分豐富的。Professional-Cloud-Developer考試整體來說還是不算複雜的，只要事先將擬真試題看好就沒有問題了。這樣的話，可以為你的考試節省很多的時間。
你可以在KaoGuTi的網站上下載部分KaoGuTi的最新的關於Google Professional-Cloud-Developer 認證考試練習題及答案作為免費嘗試了，相信不會讓你失望的。KaoGuTi的最新的關於Google Professional-Cloud-Developer 認證考試練習題及答案和真實考試題目是很接近。或許你在其他的網站上也看到了相關的培訓資料，但是你仔細比較後就會發現他們的資料來源與KaoGuTi。KaoGuTi提供的資料比較全面，包括當前考試題目，是由KaoGuTi的專家團隊利用他們的豐富的經驗和知識針對Google Professional-Cloud-Developer 認證考試研究出來的。
保證通過的Professional-Cloud-Developer最新考題＆資格考試領導者和快速下載的Google Google Certified Professional - Cloud Developer我們KaoGuTi確保你第一次嘗試通過考試，取得該認證專家的認證。因為我們KaoGuTi提供給你配置最優質的類比Google的Professional-Cloud-Developer的考試考古題，將你一步一步帶入考試準備之中，我們KaoGuTi提供我們的保證，我們KaoGuTi Google的Professional-Cloud-Developer的考試試題及答案保證你成功。
Google Professional-Cloud-Developer 考試面向在 Google Cloud 平台上構建和部署應用程序有經驗的開發人員。考試涵蓋了多個主題，包括應用程序開發、雲端架構、安全和運營。參加此考試的候選人應該具備編程語言（如 Java 或 Python）的經驗，並且應該有在 Google Cloud 平台上開發和部署應用程序的經驗。
認證考試涵蓋廣泛的主題，包括雲架構、應用開發、數據存儲、安全和網絡。候選人應該對Google Cloud Platform服務，如App Engine、Cloud Storage、Cloud SQL和Compute Engine有深入的了解。他們還應該精通Java、Python和Go等編程語言。
最新的 Cloud Developer Professional-Cloud-Developer 免費考試真題 (Q25-Q30):問題 #25
Your company has created an application that uploads a report to a Cloud Storage bucket. When the report is uploaded to the bucket, you want to publish a message to a Cloud Pub/Sub topic. You want to implement a solution that will take a small amount to effort to implement. What should you do?
  • A. Create an application deployed in a Google Kubernetes Engine cluster to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.
  • B. Configure the Cloud Storage bucket to trigger Cloud Pub/Sub notifications when objects are modified.
  • C. Create an App Engine application to receive the file; when it is received, publish a message to the Cloud Pub/Sub topic.
  • D. Create a Cloud Function that is triggered by the Cloud Storage bucket. In the Cloud Function, publish a message to the Cloud Pub/Sub topic.
答案：D
解題說明：
https://cloud.google.com/storage/docs/pubsub-notifications

問題 #26
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
In order for HipLocal to store application state and meet their stated business requirements, which database service should they migrate to?
  • A. Cloud Memorystore as a cache
  • B. Cloud Datastore
  • C. Separate Cloud SQL clusters for each region
  • D. Cloud Spanner
答案：D
解題說明：
Explanation/Reference:

問題 #27
Case Study
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform.
The HipLocal team understands their application well, but has limited experience in global scale applications.
Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal wants to reduce the number of on-call engineers and eliminate manual scaling.
Which two services should they choose? (Choose two.)
  • A. Use serverless Google Cloud Functions.
  • B. Use Google App Engine services.
  • C. Use Knative to build and deploy serverless applications.
  • D. Use a large Google Compute Engine cluster for deployments.
  • E. Use Google Kubernetes Engine for automated deployments.
答案：A,C
解題說明：
Explanation

問題 #28
You are planning to migrate a MySQL database to the managed Cloud SQL database for Google Cloud. You have Compute Engine virtual machine instances that will connect with this Cloud SQL instance. You do not want to whitelist IPs for the Compute Engine instances to be able to access Cloud SQL.
What should you do?
  • A. Create a CloudSQL instance on one project. Create Compute engine instances in a different project. Create a VPN between these two projects to allow internal access to CloudSQL.
  • B. Create a role in Cloud SQL that allows access to the database from external instances, and assign the Compute Engine instances to that role.
  • C. Enable private IP for the Cloud SQL instance.
  • D. Whitelist a project to access Cloud SQL, and add Compute Engine instances in the whitelisted project.
答案：B
解題說明：
Reference: https://cloud.google.com/sql/docs/mysql/connect-external-app

問題 #29
You work for a web development team at a small startup. Your team is developing a Node.js application using Google Cloud services, including Cloud Storage and Cloud Build. The team uses a Git repository for version control. Your manager calls you over the weekend and instructs you to make an emergency update to one of the company's websites, and you're the only developer available. You need to access Google Cloud to make the update, but you don't have your work laptop. You are not allowed to store source code locally on a non-corporate computer. How should you set up your developer environment?
  • A. Use a Cloud Storage bucket to store the source code that you need to edit. Mount the bucket to a public computer as a drive, and use a code editor to update the code. Turn on versioning for the bucket, and point it to the team's Git repository.
  • B. Use a text editor and the Git command line to send your source code updates as pull requests from a virtual machine running on a public computer.
  • C. Use a text editor and the Git command line to send your source code updates as pull requests from a public computer.
  • D. Use Cloud Shell and the built-in code editor for development. Send your source code updates as pull requests.
答案：D
解題說明：
Explanation
https://cloud.google.com/shell/docs

問題 #30
......
我們都知道，在互聯網普及的時代，需要什麼資訊那是非常簡單的事情，不過缺乏的是品質及適用性的問題。許多人在網路上搜尋Google的Professional-Cloud-Developer考試認證培訓資料，卻不知道該如何去相信，在這裏，我向大家推薦KaoGuTi Google的Professional-Cloud-Developer考試認證培訓資料，它在互聯網上點擊率購買率好評率都是最高的，KaoGuTi Google的Professional-Cloud-Developer考試認證培訓資料有部分免費的試用考題及答案，你們可以先試用後決定買不買，這樣就知道KaoGuTi所有的是不是真實的。
Professional-Cloud-Developer考試重點: https://www.kaoguti.com/Professional-Cloud-Developer_exam-pdf.html
https://www.exam4pdf.com
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