從免費範例、即時下載到 365 天免費更新,KaoGuTi 把 Professional-Cloud-DevOps-Engineer 備考的每個環節一次備齊。你只管專心準備 Google Cloud Certified - Professional Cloud DevOps Engineer,其餘瑣事交給我們,2026 年順利上場。
Google Professional-Cloud-DevOps-Engineer 考試概覽:
| 認證廠商: | Google Cloud |
|---|---|
| 考試名稱: | Google Cloud 認證 - 專業級雲端DevOps工程師考試 |
| 考試代碼: | Professional-Cloud-DevOps-Engineer |
| 考試時間: | 120 分鐘 |
| 及格分數: | 未公開 |
| 考試費用: | $200 (另加適用稅金) |
| 考試形式: | 複選題, 單選題 |
| 相關認證: | Professional Cloud Security Engineer Professional Cloud Developer Professional Cloud Network Engineer Professional Cloud Architect |
| 實際考試題數: | 50-60 |
| 證照有效期限: | 2年 |
| 支援語言: | Japanese, English |
| 推薦課程: | 考試指南 專業級雲端DevOps工程師學習路徑 |
| 考試報名: | Google Cloud 認證考試報名 |
| 範例考題: | ![]() |
| 考試方式: | 線上遠端監考或實體考場監考 |
| 必備條件: | 無強制報考資格;建議具備:3年以上業界相關經驗,以及1年以上在Google Cloud管理正式環境系統的經驗 |
| 官方大綱網址: | https://cloud.google.com/learn/certification/cloud-devops-engineer |
Google Professional-Cloud-DevOps-Engineer 考試大綱主題:
| 章節 | 權重 | 目標 |
|---|---|---|
| 主題 1: 落實可觀測性與問題排除作業 | 20% | - 排除複雜系統問題
|
| 主題 2: 建立與維護Google Cloud組織架構 | 20% | - 設定治理與法規遵循機制
|
| 主題 3: 最佳化系統效能與成本 | 17% | - 導入FinOps管理實務
|
| 主題 4: 導入網站可靠度工程實務 | 18% | - 建置高復原力架構
|
| 主題 5: 建置與導入CI/CD管線 | 25% | - 設計CI/CD管線
|
Google Cloud Certified - Professional Cloud DevOps Engineer 考試常見問題解答
Professional-Cloud-DevOps-Engineer 是由 Google Cloud 推出的認證考試,正式名稱為「Google Cloud 認證 - 專業級雲端DevOps工程師考試」,通過後即可取得 專業級雲端DevOps工程師 認證。此認證屬於 專業級 等級,主要用來驗證考生在相關技術領域的專業能力,對求職與升遷都有實質幫助。與本考試相關的認證還包括 Professional Cloud Architect、Professional Cloud Developer、Professional Cloud Network Engineer、Professional Cloud Security Engineer,可依個人職涯規劃逐步進修。若你正準備報考 Professional-Cloud-DevOps-Engineer,KaoGuTi 的練習題能幫助你更快掌握考試重點。
Professional-Cloud-DevOps-Engineer 考試的題量為 50-60 題,考試時間為 120 分鐘。在有限的作答時間內,每題能停留的時間其實不多,答題節奏的掌握格外重要。建議作答時不要在單一題目上糾結過久,遇到不確定的題目先標記起來,全部答完再回頭檢查。考前不妨使用 KaoGuTi 的模擬試題進行幾次限時練習,實際體驗在 120 分鐘 內完成作答的節奏感,正式上場時時間分配會更有把握。
Professional-Cloud-DevOps-Engineer 考試的及格分數為 未公開,官方報名費為 $200 (另加適用稅金)。需要留意的是,若未能一次通過,重考必須再次全額支付報名費,加上等待與重新準備的時間,成本其實不低。建議正式報名前,先以 KaoGuTi 的 208 道練習題完整自我檢測,確認答題表現穩定超過及格標準後再預約考試,避免不必要的重考支出。
無強制報考資格;建議具備:3年以上業界相關經驗,以及1年以上在Google Cloud管理正式環境系統的經驗 報考條件可能隨官方政策調整,建議報名前再到 Google 官方考試頁面 確認最新規定,以免錯過任何變更。
有的,Google 官方為 Professional-Cloud-DevOps-Engineer 考試推薦了以下培訓資源:
官方培訓能建立完整的知識架構,若再搭配 KaoGuTi 的 208 道 Professional-Cloud-DevOps-Engineer 練習題反覆演練,就能把課程所學確實轉化為考場上的答題能力。
可以。KaoGuTi 提供 Professional-Cloud-DevOps-Engineer 免費範例試題(Free PDF Demo),內容取自正式題庫,下載後即可實際檢視題目與答案解析的品質,滿意再購買。購買正式版後享有 365 天免費更新,題庫內容會隨考綱調整同步修訂;365 天到期後如需繼續更新,還可享有 50% 的續更折扣。
KaoGuTi 提供退款保證:購買後 60 天內參加 Professional-Cloud-DevOps-Engineer 對應考試而未通過,可申請全額退款。申請時需提交報名證明(准考證/enrollment slip)複印件與官方成績單(Score Report)PDF,並於考後 2 天內提出,我們會在 7 天內處理完成。請注意,購買後 3 天內即參加考試、已下載但未實際應考、免費資料與過期訂單均不適用退款保證,且考生姓名須與付款人姓名一致。若不想退款,也可以選擇免費更換為兩個等值考試資料,並保留原購產品的更新服務。
交付方面,付款完成後系統會在一分鐘內將產品下載連結寄至你的電子郵件信箱,可立即下載開始準備;若 2 小時內未收到,請聯絡客服協助處理。產品不限制安裝的電腦數量,桌機、筆電都能自由使用。
Professional-Cloud-DevOps-Engineer 考試大綱共分為 5 個主要領域,包括:
- 落實可觀測性與問題排除作業(佔比 20%)
- 建置與導入CI/CD管線(佔比 25%)
- 建立與維護Google Cloud組織架構(佔比 20%)
完整的大綱內容與各領域細項,請參考本頁上方的考試大綱區塊,建議逐條對照自己的熟悉程度,安排複習的優先順序。
最新的 Cloud DevOps Engineer Professional-Cloud-DevOps-Engineer 免費考試真題:
You support a multi-region web service running on Google Kubernetes Engine (GKE) behind a Global HTTP'S Cloud Load Balancer (CLB). For legacy reasons, user requests first go through a third-party Content Delivery Network (CDN). which then routes traffic to the CLB. You have already implemented an availability Service Level Indicator (SLI) at the CLB level. However, you want to increase coverage in case of a potential load balancer misconfiguration. CDN failure, or other global networking catastrophe. Where should you measure this new SLI?
Choose 2 answers
- A. GKE health checks for your application servers
- B. A synthetic client that periodically sends simulated user requests
- C. Metrics exported from the application servers
- D. Your application servers' logs
- E. Instrumentation coded directly in the client
答案:B,E 🗳️
You are using Terraform to manage infrastructure as code within a Cl/CD pipeline You notice that multiple copies of the entire infrastructure stack exist in your Google Cloud project, and a new copy is created each time a change to the existing infrastructure is made You need to optimize your cloud spend by ensuring that only a single instance of your infrastructure stack exists at a time. You want to follow Google-recommended practices What should you do?
- A. Confirm that the pipeline is storing and retrieving the terraform. if state file from Cloud Storage with the Terraform gcs backend
- B. Create a new pipeline to delete old infrastructure stacks when they are no longer needed
- C. Verify that the pipeline is storing and retrieving the terrafom.tfstat* file from a source control
- D. Update the pipeline to remove any existing infrastructure before you apply the latest configuration
答案:D 🗳️
說明:(僅 KaoGuTi 成員可見)
You support a user-facing web application When analyzing the application's error budget over the previous six months you notice that the application never consumed more than 5% of its error budget You hold a SLO review with business stakeholders and confirm that the SLO is set appropriately You want your application's reliability to more closely reflect its SLO What steps can you take to further that goal while balancing velocity, reliability, and business needs?
Choose 2 answers
- A. Tighten the SLO to match the application's observed reliability
- B. Implement and measure all other available SLIs for the application
- C. Add more serving capacity to all of your application's zones
- D. Announce planned downtime to consume more error budget and ensure that users are not depending on a tighter SLO
- E. Have more frequent or potentially risky application releases
答案:A,E 🗳️
說明:(僅 KaoGuTi 成員可見)
Your application runs on Google Cloud Platform (GCP). You need to implement Jenkins for deploying application releases to GCP. You want to streamline the release process, lower operational toil, and keep user data secure. What should you do?
- A. Implement Jenkins on local workstations.
- B. Implement Jenkins on Google Cloud Functions.
- C. Implement Jenkins on Kubernetes on-premises
- D. Implement Jenkins on Compute Engine virtual machines.
答案:D 🗳️
說明:(僅 KaoGuTi 成員可見)
You need to deploy a new service to production. The service needs to automatically scale using a Managed Instance Group (MIG) and should be deployed over multiple regions. The service needs a large number of resources for each instance and you need to plan for capacity. What should you do?
- A. Deploy the service in one region and use a global load balancer to route traffic to this region.
- B. Validate that the resource requirements are within the available quota limits of each region.
- C. Use the n2-highcpu-96 machine type in the configuration of the MIG.
- D. Monitor results of Stackdriver Trace to determine the required amount of resources.
答案:B 🗳️
說明:(僅 KaoGuTi 成員可見)

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