Professional-Cloud-Developer日本語版参考書、Professional-Cloud-Developer問題無料

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
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
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Optimize application performance 2. Configure logging and tracing 3. Analyze metrics and alerts
Deploy applications	- Deploy applications to Google Cloud 1. Manage application rollout strategies 2. Deploy applications using Cloud Run 3. Deploy applications to Google Kubernetes Engine
Build and test applications	- Manage development environments 1. Build application artifacts 2. Perform application testing 3. Implement CI/CD pipelines
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

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Professional-Cloud-Developer問題無料、Professional-Cloud-Developer合格記

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Google Certified Professional - Cloud Developer 認定 Professional-Cloud-Developer 試験問題 (Q55-Q60):

質問 # 55
You have an application deployed in production. When a new version is deployed, you want to ensure that all production traffic is routed to the new version of your application. You also want to keep the previous version deployed so that you can revert to it if there is an issue with the new version.
Which deployment strategy should you use?

A. Canary deployment
B. Rolling deployment
C. Blue/green deployment
D. Recreate deployment

正解：C

質問 # 56
You work for an environmental agency in a large city. You are developing a new monitoring platform that will capture air quality readings from thousands of locations in the city. You want the air quality reading devices to send and receive their data payload to the newly created RESTful backend systems every minute by using a curl command. The backend systems are running in a single cloud region and are using Premium Tier networking. You need to connect the devices to the backend while minimizing the daily average latency, measured by using Time to First Byte (TTFB). How should you build this service?

A. 1 Run the air quality devices' backends in a managed instance group.
2. Create an external Application Load Balancer, and connect it to the managed instance group.
3. Configure a connection between the air quality devices and the Application Load Balancer.
B. 1. Run the air quality devices' backends on Compute Engine VMs.
2. Create a weighted round robin routing policy on Cloud DNS.
3. Configure the air quality devices to connect by using this DNS.
C. 1. Run the air quality devices' backends on Compute Engine VMs.
2. Create a round robin routing policy on Cloud DNS for these Compute Engine VMs.
3. Configure the air quality devices to connect by using this DNS.
D. 1. Run the air quality devices' backends in a managed instance group.
2. Create an external passthrough Network Load Balancer to connect to the managed instance group.
3. Configure a connection between the air quality devices and the Network Load Balancer.

正解：A

解説：
https://web.dev/articles/optimize-ttfb

質問 # 57
You are developing a microservice-based application that will run on Google Kubernetes Engine (GKE).
Some of the services need to access different Google Cloud APIs. How should you set up authentication of these services in the cluster following Google-recommended best practices? (Choose two.)

A. Enable Workload Identity in the cluster via the gcloud command-line tool.
B. Use gcloud to bind the Kubernetes service account and the Google service account using roles/iam.workloadIdentity.
C. Access the Google service account keys from a secret management service.
D. Store the Google service account keys in a central secret management service.
E. Use the service account attached to the GKE node.

正解：A、B

解説：
https://cloud.google.com/kubernetes-engine/docs/how-to/workload-identity

質問 # 58
You are developing a microservice-based application that will be deployed on a Google Kubernetes Engine cluster. The application needs to read and write to a Spanner database. You want to follow security best practices while minimizing code changes. How should you configure your application to retrieve Spanner credentials?

A. Configure the appropriate service accounts, and use Workload Identity to run the pods.
B. Store the application credentials using Cloud Key Management Service, and retrieve them whenever a database connection is made.
C. Configure the appropriate routing rules, and use a VPC-native cluster to directly connect to the database.
D. Store the application credentials as Kubernetes Secrets, and expose them as environment variables.

正解：A

解説：
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity

質問 # 59
Your application is running in multiple Google Kubernetes Engine clusters. It is managed by a Deployment in each cluster. The Deployment has created multiple replicas of your Pod in each cluster. You want to view the logs sent to stdout for all of the replicas in your Deployment in all clusters. Which command should you use?

A. gcloud logging read [PARAM]
B. kubectl logs [PARAM]
C. gcloud compute ssh [PARAM] --command= "sudo journalctl"
D. kubectl exec -it [PARAM] journalctl

正解：C

質問 # 60
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