Professional-Cloud-Developer考試資訊，Professional-Cloud-Developer證照

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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Build and test applications	- Manage development environments 1. Perform application testing 2. Implement CI/CD pipelines 3. Build application artifacts
Deploy applications	- Deploy applications to Google Cloud 1. Deploy applications using Cloud Run 2. Manage application rollout strategies 3. Deploy applications to Google Kubernetes Engine
Manage application performance monitoring	- Monitor and troubleshoot applications 1. Analyze metrics and alerts 2. Optimize application performance 3. Configure logging and tracing
Integrate applications with Google Cloud services	- Integrate with data and storage services 1. Integrate with Google Cloud APIs 2. Use messaging and event-driven services 3. Implement authentication and authorization
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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最新的 Cloud Developer Professional-Cloud-Developer 免費考試真題 (Q15-Q20):

問題 #15
You have a mixture of packaged and internally developed applications hosted on a Compute Engine instance that is running Linux. These applications write log records as text in local files. You want the logs to be written to Cloud Logging. What should you do?

A. Install a Google version of fluentd on the Compute Engine instance.
B. Pipe the content of the files to the Linux Syslog daemon.
C. Install a Google version of collectd on the Compute Engine instance.
D. Using cron, schedule a job to copy the log files to Cloud Storage once a day.

答案：A

問題 #16
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine. What should you do?

A. Place the unique configuration values in the instance template instance metadata.
B. Place the unique configuration values in the persistent disk.
C. Place the unique configuration values in the instance template startup script.
D. Place the unique configuration values in a Cloud Bigtable table.

答案：B

解題說明：
Reference:
https://cloud.google.com/compute/docs/instance-groups

問題 #17
You work for an ecommerce company, and you are responsible for deploying and managing multiple APIs. The operations team wants to review the traffic patterns in the orders-prod and users-prod environments. These are the only environments in the store-prod environment group.
You want to follow Google-recommended practices. What should you do?

A. Assign the Apigee Analytics Viewer IAM role to the operations team for both environments. Use Cloud Monitoring to review traffic patterns.
B. Assign the Apigee API Reader IAM role to each user of the operations team for both environments. Use Apigee API Analytics to review traffic patterns.
C. Assign the Apigee API Reader IAM role to each user of the operations team for both environments. Use Cloud Monitoring to review traffic patterns.
D. Assign the Apigee Analytics Viewer IAM role to the operations team for both environments. Use Apigee API Analytics to review traffic patterns.

答案：D

解題說明：
https://cloud.google.com/blog/products/api-management/api-monitoring-and-analytics-for-2021

問題 #18
You are developing an external-facing application on GKE that provides a streaming API to users.
You want to offer two subscription tiers, "basic" and "premium", to users based on the number of API requests that each client application is allowed to make each day. You want to design the application architecture to provide subscription tiers to users while following Google- recommended practices. What should you do?

A. 1. Deploy the application to two GKE clusters, one for each subscription tier. Configure each cluster to have a separate Ingress.
2. Configure each cluster as a backend to an Apigee proxy.
3. Provide API keys to users to identify client applications.
4. Configure separate rate limits for client applications based on the subscription tier.
B. 1. Configure the service on GKE as a backend to two new projects, each with a separate Application Load Balancer.
2. Configure the quota "Queries per second (QPS) per region per network" for each project individually.
3. Provide users with API endpoints based on the subscription tier.
C. 1. Configure the service on GKE as a backend to an Apigee proxy.
2. Provide API keys to users to identify client applications.
3. Configure a SpikeArrest policy in Apigee for API keys based on the subscription tier.
D. 1. Configure the service on GKE as a backend to an Apigee proxy.
2. Provide API keys to users to identify client applications.
3. Configure a Quota policy in Apigee for API keys based on the subscription tier.

答案：D

解題說明：
https://cloud.google.com/kubernetes-engine/docs/concepts/gke-editions

問題 #19
Your application requires service accounts to be authenticated to GCP products via credentials stored on its host Compute Engine virtual machine instances. You want to distribute these credentials to the host instances as securely as possible. What should you do?

A. Commit the credential JSON file into your application's source repository, and have your CI/CD process package it with the software that is deployed to the instance.
B. Use HTTP signed URLs to securely provide access to the required resources.
C. Use the instance's service account Application Default Credentials to authenticate to the required resources.
D. Generate a P12 file from the GCP Console after the instance is deployed, and copy the credentials to the host instance before starting the application.

答案：C

解題說明：
Reference:
https://cloud.google.com/compute/docs/api/how-tos/authorization

問題 #20
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