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| Section | Objectives |
|---|---|
| Topic 1: Building and testing applications | - Unit and integration testing strategies - Debugging and troubleshooting applications - Application development on Google Cloud |
| Topic 2: Ensuring application performance and reliability | - Fault tolerance and incident response - Performance optimization - Monitoring and logging (Cloud Monitoring, Cloud Logging) |
| Topic 3: Deploying applications | - CI/CD pipelines - Release management strategies - Containerization and deployment (Cloud Run, GKE) |
| Topic 4: Designing cloud-native applications | - Application architecture design - Scalability and resiliency patterns - Microservices design principles |
| 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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NEW QUESTION # 46
Your organization has recently begun an initiative to replatform their legacy applications onto Google Kubernetes Engine. You need to decompose a monolithic application into microservices.
Multiple instances have read and write access to a configuration file, which is stored on a shared file system. You want to minimize the effort required to manage this transition, and you want to avoid rewriting the application code. What should you do?
Answer: C
Explanation:
https://kubernetes.io/docs/concepts/storage/volumes/#nfs
An nfs volume allows an existing NFS (Network File System) share to be mounted into a Pod.
Unlike emptyDir, which is erased when a Pod is removed, the contents of an nfs volume are preserved and the volume is merely unmounted. This means that an NFS volume can be pre- populated with data, and that data can be shared between pods. NFS can be mounted by multiple writers simultaneously.
NEW QUESTION # 47
You are in the final stage of migrating an on-premises data center to Google Cloud. You are quickly approaching your deadline, and discover that a web API is running on a server slated for decommissioning.
You need to recommend a solution to modernize this API while migrating to Google Cloud. The modernized web API must meet the following requirements:
* Autoscales during high traffic periods at the end of each month
* Written in Python 3.x
* Developers must be able to rapidly deploy new versions in response to frequent code changes You want to minimize cost, effort, and operational overhead of this migration. What should you do?
Answer: C
Explanation:
https://cloud.google.com/appengine/docs/standard
NEW QUESTION # 48
You are a lead developer at an organization that recently integrated several Google Cloud services. These services are located within Virtual Private Cloud (VPC) environments that are secured with VPC Service Controls and Private Service Connect endpoints. Developers across your organization use different operating systems, development frameworks, and integrated development environments (IDEs). You need to recommend a developer environment that will ensure consistency in the developer process and improve the overall developer experience. You want this solution to:
- Enforce consistent security controls.
- Have access to Google Cloud resources and applications within the
VPC.
- Allow the installation of custom tools and utilities on the
development environments.
What solution should you recommend?
Answer: D
Explanation:
https://cloud.google.com/apigee/docs/api-platform/fundamentals/environments-overview
NEW QUESTION # 49
Your team developed a web-based game that has many simultaneous players. Recently, users have started to complain that the leaderboard tallies the top scores too slowly. You investigated the issue and discovered that the application stack is currently using Cloud SQL for PostgreSQL.
You want to improve the leaderboard performance as much as possible to provide a better user experience. What should you do?
Answer: A
Explanation:
Memorystore for Redis is an in-memory data store that provides sub-millisecond latency and is ideal for real-time leaderboard use cases, significantly improving performance for rapidly changing, high-read workloads compared to Cloud SQL.
NEW QUESTION # 50
You are developing a short-term image hosting service where end users around the world can upload images that are up to 20MB, and the images will be automatically deleted after 10 days.
You need to determine how the images should be stored while minimizing cost. How should you store the images?
Answer: B
Explanation:
Cloud Storage is a cost-effective solution for storing large objects like images, especially for short-term storage. By configuring a lifecycle policy, you can automatically delete objects after 10 days, aligning perfectly with your requirement to remove images after that period. This approach minimizes cost by avoiding the need for active management or scheduled deletion processes.
Using Spanner, Firestore, or Bigtable would generally be more expensive and less optimal for storing large files like images, as these services are better suited for structured or semi-structured data rather than binary objects (such as images).
NEW QUESTION # 51
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