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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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最新的 Cloud Developer Professional-Cloud-Developer 免費考試真題 (Q73-Q78):

問題 #73
Your ecommerce application receives external requests and forwards them to third-party API services for credit card processing, shipping, and inventory management as shown in the diagram.

Your customers are reporting that your application is running slowly at unpredictable times. The application doesn't report any metrics. You need to determine the cause of the inconsistent performance. What should you do?

A. Install the Ops Agent inside your container and configure it to gather application metrics.
B. Modify your application to read and forward the X-Cloud-Trace-Context header when it calls the downstream services.
C. Install the OpenTelemetry library for your respective language, and instrument your application.
D. Enable Managed Service for Prometheus on the Google Kubernetes Engine cluster to gather application metrics.

答案：C

解題說明：
https://cloud.google.com/trace/docs/trace-app-latency

問題 #74
You are developing a new image processing application that needs to handle various tasks, such as resizing, cropping, and watermarking images. You also need to monitor the workflow and ensure that it scales efficiently when there are large volumes of images. You want to automate the image processing tasks and workflow monitoring with the least effort. What should you do?

A. Use Cloud Run to deploy the image processing functions. Use Apigee to expose the API. Use Cloud Logging for workflow monitoring.
B. Implement Workflows to orchestrate the image processing tasks. Use Cloud Logging for workflow monitoring.
C. Employ Cloud Composer to manage the image processing workflows. Use Dataproc for workflow monitoring and analytics.
D. Use Cloud Build to trigger Cloud Run functions for the image processing tasks. Use Cloud Monitoring for workflow monitoring.

答案：B

解題說明：
https://cloudinary.com/blog/mediaflows-automate-image-processing

問題 #75
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

A. Perform strong reads using single-read methods.
B. Perform stale reads using single-read methods.
C. Perform Read-Only transactions.
D. Perform stale reads using read-write transactions.

答案：D

解題說明：
Explanation/Reference: https://cloud.google.com/solutions/best-practices-cloud-spanner-gaming-database

問題 #76
You are building an application that will store frequently accessed data in a Memorystore for Redis Cluster instance. You would like to make the application resilient to network issues. You need to ensure that the application handles client disconnections from a Redis instance gracefully to minimize disruption and ensure stability of the application. What should you do?

A. Implement exponential backoff with a jitter when reconnecting after a disconnection. Configure client-side caching to serve data during brief outages.
B. Configure the Redis client to reconnect after a fixed delay of 60 seconds.
C. Use Memorystore's automatic failover mechanisms to make the Redis cache available in a secondary zone.
D. Immediately terminate the application instance upon detecting a Redis disconnection to force a restart, and wait for clients to reconnect to the cache as soon as the application becomes available.

答案：A

解題說明：
Implementing exponential backoff with jitter when reconnecting reduces connection storms and gracefully handles transient network issues. Client-side caching ensures the application remains stable and responsive during brief Redis outages.

問題 #77
Your development team has been tasked with maintaining a .NET legacy application. The application incurs occasional changes and was recently updated. Your goal is to ensure that the application provides consistent results while moving through the CI/CD pipeline from environment to environment. You want to minimize the cost of deployment while making sure that external factors and dependencies between hosting environments are not problematic. Containers are not yet approved in your organization. What should you do?

A. Use Cloud Build to package the application, and deploy to a Google Kubernetes Engine cluster. Use namespaces to separate the environments.
B. Deploy the application using MS Web Deploy, and make sure to always use the latest, patched MS Windows Server base image in Compute Engine.
C. Rewrite the application using .NET Core, and deploy to Cloud Run. Use revisions to separate the environments.
D. Use Cloud Build to deploy the application as a new Compute Engine image for each build. Use this image in each environment.

答案：D

解題說明：
https://cloud.google.com/architecture/modernization-path-dotnet-applications-google-cloud#phase_1_rehost_in_the_cloud
https://cloud.google.com/architecture/modernization-path-dotnet-applications-google-cloud

問題 #78
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