Google Professional-Cloud-Developer考古題分享，Professional-Cloud-Developer題庫下載

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Google Professional-Cloud-Developer Exam Syllabus Topics:

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

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Professional-Cloud-Developer題庫下載 & Professional-Cloud-Developer考試資訊

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最新的 Cloud Developer Professional-Cloud-Developer 免費考試真題 (Q245-Q250):

問題 #245
You are developing a new mobile game that will be deployed on GKE and Cloud Run as a set of microservices. Currently, there are no projections for the game's user volume.
You need to store the following data types:
- Data type 1: leaderboard data
- Data type 2: player profiles, chats, and news feed
- Data type 3: player clickstream data for BI
You need to identify a data storage solution that is easy to use, cost-effective, scalable, and supports offline caching on the user's device. Which data storage option should you choose for the different data types?

答案：B

解題說明：
Firestore is scalable, easy to use, and supports offline caching for both leaderboard data and player profiles/chats/news feeds. BigQuery is cost-effective and designed for scalable analytics, making it suitable for storing and analyzing clickstream data for BI.


問題 #246
You are developing a web application that will be accessible over both HTTP and HTTPS and will run on Compute Engine instances. On occasion, you will need to SSH from your remote laptop into one of the Compute Engine instances to conduct maintenance on the app. How should you configure the instances while following Google-recommended best practices?

答案：A

解題說明：
Reference:
https://cloud.google.com/solutions/connecting-securely#storing_host_keys_by_enabling_guest_attributes


問題 #247
You need to migrate a standalone Java application running in an on-premises Linux virtual machine (VM) to Google Cloud in a cost-effective manner. You decide not to take the lift-and-shift approach, and instead you plan to modernize the application by converting it to a container. How should you accomplish this task?

答案：A

解題說明：
Jib is a tool that builds Docker images from Java code without the need for a Dockerfile. This makes it easy to containerize Java applications, even if you don't have any experience with Docker.


問題 #248
You are designing a microservices application on GKE that will expose a public API to users.
Users will interact with the application by using OAuth 2.0, and illegitimate requests should receive a 403 response code. You need the API to be resilient against distributed denial of service (DDoS) attacks and critical security risks such as SQL injection (SQLi) and cross-site scripting (XSS). You want to design the application's architecture while following Google- recommended practices. What should you do?

答案：C

解題說明：
This architecture provides a robust and secure setup for public APIs on GKE:
- External Application Load Balancer: It allows you to manage incoming traffic and adds resilience against DDoS attacks.
- Cloud Armor: Protects against DDoS, SQL injection, XSS, and other critical threats with pre- configured WAF (Web Application Firewall) rules.
- Apigee: As an API management layer, Apigee can handle OAuth 2.0, manage API authentication and authorization, and provide additional security features for API traffic validation.
- GKE as the backend: The load balancer can forward validated traffic to the GKE cluster, where the microservices run.
This solution follows Google-recommended practices by leveraging Apigee for API security, Cloud Armor for DDoS protection and threat mitigation, and an external load balancer for resilient traffic management.


問題 #249
You have an application deployed in production. When a new version is deployed, some issues don't arise until the application receives traffic from users in production. You want to reduce both the impact and the number of users affected.
Which deployment strategy should you use?

答案：A


問題 #250
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