Google Cloud Certified Professional-Cloud-Architect

Google Professional-Cloud-Architect 考試大綱：

參考：https://cloud.google.com/certification/cloud-architect

Professional-Cloud-Architect考古題擁有高達98%通過率
對於IT行業的Google Professional-Cloud-Architect認證考試的考生而言，一份好的考古題將會起至至關重要的作用，這關係到考生是否能夠順利的通過Professional-Cloud-Architect考試，拿到證書那麼我們如何選擇到一份優秀的Google Professional-Cloud-Architect考古題呢？TestPDF就能為你提高品質有效的考古題。 我相信很多顧客在選擇Professional-Cloud-Architect題庫時最注重的肯定是通過率，如果一份題庫的通過率都不高的話，就算它再優質也是沒有用的，因為它並不實用而而我們公司的這套Google Professional-Cloud-Architect題庫在實用的基礎上還擁有著相當高的品質，使用過這套Professional-Cloud-Architect題庫之後，有高達98％的顧客都快速的通過了Professional-Cloud-Architect考試。之後就是一個學習的時間的安排，很多顧客由於工作繁忙沒有時間去練習題目而不得不放棄了考取IT證書，這是一件非常非常可惜的事情，因為Google Professional-Cloud-Architect證書能夠給你帶來升職能加薪甚至是拿到心儀的公司的提供的機會。而我們公司的Professional-Cloud-Architect題庫恰巧能夠很好地解決這個問題，上面我們也提到了這套Google Professional-Cloud-Architect題庫能夠幫助顧客更快速的通過考試，這個短時間就是只要練習我們公司的試題20〜30個小時就可以去參加Professional-Cloud-Architect考試了，並且有高達98％通過率。

購買後，立即下載 Professional-Cloud-Architect 題库 (Google Certified Professional - Cloud Architect (GCP)): 成功付款後, 我們的體統將自動通過電子郵箱將你已購買的產品發送到你的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查你的垃圾郵件。）

一年免費更新Professional-Cloud-Architect題庫的服務
對於購買我們Google Professional-Cloud-Architect題庫的顧客，我們提供一年以內免費更新。也就是說，您購買了我們的產題庫之後，只要我們的Professional-Cloud-Architect題庫更新了，您就會收到我們系統自動發送到到您郵箱的更新題庫，我們有專門的IT專家每天查看Google Professional-Cloud-Architect題庫是否更新，保證您掌握到最新的資源，所以您只需要花一次錢，就能在一年之內一直享受最新的資源，這是一件非常划算的事情。另外，我們的所有產品都會不定期的推出折扣優惠活動，您如果不是著急考取Professional-Cloud-Architect證書的話，可以先看好需要的Professional-Cloud-Architect題庫，等打折優惠的時候再來購買。為了防止不太了解我們的Google Professional-Cloud-Architect題庫品質的客戶，在購買我們的題庫之前您可以先免費下載demo試用，覺得合適再購買，而且您可以在付完款項之後馬上下載所購買的Google Professional-Cloud-Architect題庫，無需等待，這為客戶節省了很多的時間。

一次不通過全額退款的保證
有的客戶會擔心說要是我購買了你們公司的Google Professional-Cloud-Architect題庫卻沒有通過考試，豈不是白花錢。這也無需擔心，我們承諾一次不過全額退款，僅僅只需要您提供您的Google Professional-Cloud-Architect考試成績單。當然我們也可以免費為您更換其他的題庫，直到您通過為止。可以這麼說，只要您購買了我們的題庫產品我們都是包過的，您就準備拿著Google Professional-Cloud-Architect證書升職加薪，當上總經理，出任CEO，走上人生巔峰吧！

最新的 Google Cloud Certified Professional-Cloud-Architect 免費考試真題：

問題 #1
One of your primary business objectives is being able to trust the data stored in your application. You want to log all changes to the application data. How can you design your logging system to verify authenticity of your logs?

A. Create a JSON dump of each log entry and store it in Google Cloud Storage.
B. Use a SQL database and limit who can modify the log table.
C. Write the log concurrently in the cloud and on premises.
D. Digitally sign each timestamp and log entry and store the signature.

問題 #2
You are moving an application that uses MySQL from on-premises to Google Cloud. The application will run on Compute Engine and will use Cloud SQL. You want to cut over to the Compute Engine deployment of the application with minimal downtime and no data loss to your customers. You want to migrate the application with minimal modification. You also need to determine the cutover strategy. What should you do?

A. 1. Set up Cloud SQL proxy and MySQL proxy.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Stop the on-premises application.
6. Start the Compute Engine application.
B. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Create a mysqldump of the on-premises MySQL server.
4. Upload the dump to a Cloud Storage bucket.
5. Import the dump into Cloud SQL.
6. Modify the source code of the application to write queries to both databases and read from its local database.
7. Start the Compute Engine application.
8. Stop the on-premises application.
C. 1. Stop the on-premises application.
2. Create a mysqldump of the on-premises MySQL server.
3. Upload the dump to a Cloud Storage bucket.
4. Import the dump into Cloud SQL.
5. Start the application on Compute Engine.
D. 1. Set up Cloud VPN to provide private network connectivity between the Compute Engine application and the on-premises MySQL server.
2. Stop the on-premises application.
3. Start the Compute Engine application, configured to read and write to the on-premises MySQL server.
4. Create the replication configuration in Cloud SQL.
5. Configure the source database server to accept connections from the Cloud SQL replica.
6. Finalize the Cloud SQL replica configuration.
7. When replication has been completed, stop the Compute Engine application.
8. Promote the Cloud SQL replica to a standalone instance.
9. Restart the Compute Engine application, configured to read and write to the Cloud SQL standalone instance.

問題 #3
You company has a Kubernetes application that pulls messages from Pub/Sub and stores them in Firestore.
Because the application is simple, it was deployed as a single pod. The infrastructure team has analyzed Pub
/Sub metrics and discovered that the application cannot process the messages in real time. Most of them wait for minutes before being processed. You need to scale the elaboration process that is I/O-intensive. What should you do?

A. Use kubectl autoscale deployment APP_NAME -max 6 -min 2 -cpu- percent 50 to configure Kubernetes autoscaling deployment
B. Configure a Kubernetes autoscaling based on the subscription/push_request metric.
C. Use the -enable- autoscaling flag when you create the Kubernetes cluster
D. Configure a Kubernetes autoscaling based on the subscription/num_undelivered message metric.

問題 #4
For this question, refer to the TerramEarth case study.
TerramEarth has equipped unconnected trucks with servers and sensors to collet telemetry data. Next year they want to use the data to train machine learning models. They want to store this data in the cloud while reducing costs. What should they do?

A. Have the vehicle' computer compress the data in hourly snapshots, and store it in a Google Cloud storage (GCS) Nearline bucket.
B. Push the telemetry data in real-time to a streaming dataflow job that compresses the data, and store it in Cloud Bigtable.
C. Have the vehicle ' s computer compress the data in hourly snapshots, a Store it in a GCS Coldline bucket.
D. Push the telemetry data in Real-time to a streaming dataflow job that compresses the data, and store it in Google BigQuery.

問題 #5
For this question, refer to the Dress4Win case study.
You want to ensure Dress4Win ' s sales and tax records remain available for infrequent viewing by auditors for at least 10 years. Cost optimization is your top priority. Which cloud services should you choose?

A. Google Bigtabte with US or EU as location to store the data, and gcloud to access the data.
B. BigQuery to store the data, and a web server cluster in a managed instance group to access the data.Google Cloud SQL mirrored across two distinct regions to store the data, and a Redis cluster in a managed instance group to access the data.
C. Google Cloud Storage Coldline to store the data, and gsutil to access the data.
D. Google Cloud Storage Nearline to store the data, and gsutil to access the data.

問題與答案：