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| Section | Objectives |
|---|---|
| Topic 1: Deploying applications | - Release management strategies - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines |
| Topic 2: Building and testing applications | - Debugging and troubleshooting applications - Unit and integration testing strategies - Application development on Google Cloud |
| Topic 3: Designing cloud-native applications | - Application architecture design - Scalability and resiliency patterns - Microservices design principles |
| Topic 4: Ensuring application performance and reliability | - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization - Fault tolerance and incident response |
| Topic 5: Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
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問題 #48
Your development team is using Cloud Build to promote a Node.js application built on App Engine from your staging environment to production. The application relies on several directories of photos stored in a Cloud Storage bucket named webphotos-staging in the staging environment. After the promotion, these photos must be available in a Cloud Storage bucket named webphotos-prod in the production environment. You want to automate the process where possible. What should you do?
A)
Manually copy the photos to webphotos-prod.
B)
Add a startup script in the application's app.yami file to move the photos from webphotos-staging to webphotos-prod.
C)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
D)
Add a build step in the cloudbuild.yaml file before the promotion step with the arguments:
答案：D
問題 #49
You are designing a microservices architecture for a new application that will be deployed on Cloud Run. The application requires high-throughput communication between the internal microservices. You want to use the most effective, lowest latency communication protocol for this application. What should you do?
答案：B
解題說明：
gRPC over HTTP/2 is a high-performance communication protocol that is well-suited for high- throughput, low-latency communication between microservices. It supports features like bidirectional streaming, which is beneficial when large amounts of data need to be transferred.
gRPC is designed for inter-service communication in microservices architectures and allows for faster serialization and deserialization using Protocol Buffers, making it more efficient than traditional HTTP REST or SOAP for high-throughput applications.
Using gRPC with HTTP/2 in Cloud Run provides better performance and lower latency compared to REST over HTTP/1.1, which is less efficient for high-throughput, low-latency requirements.
問題 #50
The new version of your containerized application has been tested and is ready to deploy to production on Google Kubernetes Engine. You were not able to fully load-test the new version in pre-production environments, and you need to make sure that it does not have performance problems once deployed. Your deployment must be automated. What should you do?
答案：D
解題說明：
Explanation
https://cloud.google.com/architecture/implementing-deployment-and-testing-strategies-on-gke#perform_a_blueg
問題 #51
Case Study 1 - HipLocal
Company Overview
HipLocal is a community application designed to facilitate communication between people in close proximity. It is used for event planning and organizing sporting events, and for businesses to connect with their local communities. HipLocal launched recently in a few neighborhoods in Dallas and is rapidly growing into a global phenomenon. Its unique style of hyper-local community communication and business outreach is in demand around the world.
Executive Statement
We are the number one local community app; it's time to take our local community services global. Our venture capital investors want to see rapid growth and the same great experience for new local and virtual communities that come online, whether their members are 10 or 10000 miles away from each other.
Solution Concept
HipLocal wants to expand their existing service, with updated functionality, in new regions to better serve their global customers. They want to hire and train a new team to support these regions in their time zones. They will need to ensure that the application scales smoothly and provides clear uptime data.
Existing Technical Environment
HipLocal's environment is a mix of on-premises hardware and infrastructure running in Google Cloud Platform. The HipLocal team understands their application well, but has limited experience in global scale applications. Their existing technical environment is as follows:
* Existing APIs run on Compute Engine virtual machine instances hosted in GCP.
* State is stored in a single instance MySQL database in GCP.
* Data is exported to an on-premises Teradata/Vertica data warehouse.
* Data analytics is performed in an on-premises Hadoop environment.
* The application has no logging.
* There are basic indicators of uptime; alerts are frequently fired when the APIs are unresponsive.
Business Requirements
HipLocal's investors want to expand their footprint and support the increase in demand they are seeing. Their requirements are:
* Expand availability of the application to new regions.
* Increase the number of concurrent users that can be supported.
* Ensure a consistent experience for users when they travel to different regions.
* Obtain user activity metrics to better understand how to monetize their product.
* Ensure compliance with regulations in the new regions (for example, GDPR).
* Reduce infrastructure management time and cost.
* Adopt the Google-recommended practices for cloud computing.
Technical Requirements
* The application and backend must provide usage metrics and monitoring.
* APIs require strong authentication and authorization.
* Logging must be increased, and data should be stored in a cloud analytics platform.
* Move to serverless architecture to facilitate elastic scaling.
* Provide authorized access to internal apps in a secure manner.
HipLocal's APIs are showing occasional failures, but they cannot find a pattern. They want to collect some metrics to help them troubleshoot.
What should they do?
答案：D
問題 #52
You are designing an application that will subscribe to and receive messages from a single Pub/Sub topic and insert corresponding rows into a database. Your application runs on Linux and leverages preemptible virtual machines to reduce costs. You need to create a shutdown script that will initiate a graceful shutdown. What should you do?
答案：A
問題 #53
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