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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Designing cloud-native applications	- Microservices design principles - Scalability and resiliency patterns - Application architecture design
Deploying applications	- CI/CD pipelines - Release management strategies - Containerization and deployment (Cloud Run, GKE)
Building and testing applications	- Unit and integration testing strategies - Debugging and troubleshooting applications - Application development on Google Cloud
Integrating Google Cloud services	- Using managed services (Pub/Sub, Firestore, Cloud SQL) - API integration and service-to-service communication
Ensuring application performance and reliability	- Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Fault tolerance and incident response

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최신 Cloud Developer Professional-Cloud-Developer 무료샘플문제 (Q57-Q62):

질문 # 57
You are trying to connect to your Google Kubernetes Engine (GKE) cluster using kubectl from Cloud Shell.
You have deployed your GKE cluster with a public endpoint. From Cloud Shell, you run the following command:

You notice that the kubectl commands time out without returning an error message. What is the most likely cause of this issue?

A. The Cloud Shell is not part of the same VPC as the GKE cluster.
B. Your user account does not have privileges to interact with the cluster using kubectl.
C. A VPC firewall is blocking access to the cluster's endpoint.
D. Your Cloud Shell external IP address is not part of the authorized networks of the cluster.

정답：D

설명：
https://cloud.google.com/kubernetes-engine/docs/how-to/private-clusters#cloud_shell If you want to use Cloud Shell to access the cluster, you must add the public IP address of your Cloud Shell to the cluster's list of authorized networks.

질문 # 58
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. Use CPanel to upload files.
C. Use FTP to upload files.
D. Change the API to be a multipart file upload API.

정답：A

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

질문 # 59
Your analytics system executes queries against a BigQuery dataset. The SQL query is executed in batch and passes the contents of a SQL file to the BigQuery CLI. Then it redirects the BigQuery CLI output to another process. However, you are getting a permission error from the BigQuery CLI when the queries are executed. You want to resolve the issue. What should you do?

A. Grant the service account BigQuery Data Editor and BigQuery Data Viewer roles.
B. Create a view in BigQuery from the SQL query and SELECT* from the view in the CLI.
C. Create a new dataset in BigQuery, and copy the source table to the new dataset Query the new dataset and table from the CLI.
D. Grant the service account BigQuery Data Viewer and BigQuery Job User roles.

정답：A

질문 # 60
Your team plans to use AlloyDB as their database backend for an upcoming application release.
Your application is currently hosted in a different project and network than the AlloyDB instances.
You need to securely connect your application to the AlloyDB instance while keeping the projects isolated. You want to minimize additional operations and follow Google-recommended practices.
How should you configure the network for database connectivity?

A. Provision a Shared VPC project where both the application project and the AlloyDB project are service projects.
B. Use AlloyDB Auth Proxy and configure the application project's firewall to allow connections to port 5433.
C. Provision a service account from the AlloyDB project. Use this service account's JSON key file as the --credentials-file to connect to the AlloyDB instance.
D. Ask the database team to provision AlloyDB databases in the same project and network as the application.

정답：A

설명：
Secure Connectivity: A Shared VPC allows you to connect resources across different projects securely while keeping them isolated, following Google-recommended practices for network architecture.
Centralized Management: By using a Shared VPC, you can centralize network management and reduce complexity in firewall rules and routing.
Isolation and Flexibility: This approach allows your application and database to remain in separate projects while still being able to communicate securely.

질문 # 61
You have recently instrumented a new application with OpenTelemetry, and you want to check the latency of your application requests in Trace. You want to ensure that a specific request is always traced. What should you do?

A. Write a custom script that sends this type of request repeatedly from your dev project.
B. Use the Trace API to apply custom attributes to the trace.
C. Add the X-Cloud-Trace-Context header to the request with the appropriate parameters.
D. Wait 10 minutes, then verify that Trace captures those types of requests automatically.

정답：C

설명：
https://cloud.google.com/trace/docs/setup#force-trace
Cloud Trace doesn't sample every request.
To force a specific request to be traced, add an X-Cloud-Trace-Context header to the request.

질문 # 62
......

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Professional-Cloud-Developer퍼펙트덤프데모문제다운 & Professional-Cloud-Developer퍼펙트덤프최신데모

Google Professional-Cloud-Developer Exam Syllabus Topics:

최신 업데이트된 Professional-Cloud-Developer퍼펙트 덤프데모문제 다운 인증공부자료

최신 Cloud Developer Professional-Cloud-Developer 무료샘플문제 (Q57-Q62):