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| Section | Objectives |
|---|---|
| Designing cloud-native applications | - Scalability and resiliency patterns - Microservices design principles - Application architecture design |
| Deploying applications | - Release management strategies - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines |
| Ensuring application performance and reliability | - Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization |
| Building and testing applications | - Application development on Google Cloud - Debugging and troubleshooting applications - Unit and integration testing strategies |
| Integrating Google Cloud services | - API integration and service-to-service communication - Using managed services (Pub/Sub, Firestore, Cloud SQL) |
>> Professional-Cloud-Developer教育資料 <<
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質問 # 60
Your application named ecom-web-app is deployed in three GKE clusters: ecom-web-app-dev, ecom-web-app-qa, and ecom-web-app-prod. You need to ensure that only trusted container images are deployed to the ecom-web-app-prod GKE cluster in the production environment while following Google-recommended practices. What should you do?
正解：B
解説：
Binary Authorization is a Google-recommended security feature that enforces deploy-time security policies for containerized applications running on GKE. By setting up Binary Authorization and defining cluster-specific rules using the clusterAdmissionRules in the policy YAML file, you can ensure that only trusted and verified container images are deployed to the ecom-web-app-prod GKE cluster. This setup allows you to configure specific rules for the production environment, providing an added layer of security and control over which images can be deployed.
Other options, like using an image verification process alone, do not enforce strict deploy-time policies directly at the cluster level and thus may not prevent untrusted images from being deployed.
質問 # 61
You are planning to deploy your application in a Google Kubernetes Engine (GKE) cluster. Your application can scale horizontally, and each instance of your application needs to have a stable network identity and its own persistent disk.
Which GKE object should you use?
正解：B
解説：
Reference: https://livebook.manning.com/book/kubernetes-in-action/chapter-10/46
Topic 1, HipLocal Case StudyCompany 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 10,000 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
質問 # 62
HipLocal's data science team wants to analyze user reviews.
How should they prepare the data?
正解：A
解説：
Explanation
https://cloud.google.com/dlp/docs/deidentify-sensitive-data
質問 # 63
You are a lead developer working on a new retail system that runs on Cloud Run and Firestore. A web UI requirement is for the user to be able to browse through all products. A few months after go-live, you notice that Cloud Run instances are terminated with HTTP 500: Container instances are exceeding memory limits errors during busy times. This error coincides with spikes in the number of Firestore queries.
You need to prevent Cloud Run from crashing and decrease the number of Firestore queries.
You want to use a solution that optimizes system performance. What should you do?
正解：D
解説：
A cursor is a pointer to a specific location in a Firestore database. By using cursors with limits, you can control the number of documents that are returned in a query. This can help to reduce the number of Firestore queries that are made, which can improve performance and prevent Cloud Run from crashing.
質問 # 64
The development teams in your company want to manage resources from their local environments. You have been asked to enable developer access to each team's Google Cloud projects. You want to maximize efficiency while following Google-recommended best practices.
What should you do?
正解：A
解説：
This is the most efficient and secure way to enable developer access to Google Cloud projects.
By creating groups and assigning roles to the groups, you can minimize the administrative overhead of managing user permissions. You can also provide developers with access to the projects they need, while limiting their access to other resources.
質問 # 65
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