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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Integrate with Google Cloud APIs
  • 2. Implement authentication and authorization
  • 3. Use messaging and event-driven services
Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Analyze metrics and alerts
  • 2. Optimize application performance
  • 3. Configure logging and tracing
Deploy applications- Deploy applications to Google Cloud
  • 1. Deploy applications using Cloud Run
  • 2. Manage application rollout strategies
  • 3. Deploy applications to Google Kubernetes Engine
Build and test applications- Manage development environments
  • 1. Perform application testing
  • 2. Build application artifacts
  • 3. Implement CI/CD pipelines
Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Choose storage options for application data
  • 2. Design secure applications
  • 3. Design resilient and scalable application architectures

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Google Certified Professional - Cloud Developer Sample Questions (Q383-Q388):

NEW QUESTION # 383
You want to notify on-call engineers about a service degradation in production while minimizing development time.
What should you do?

Answer: D


NEW QUESTION # 384
Which service should HipLocal use to enable access to internal apps?

Answer: D


NEW QUESTION # 385
You are developing an application hosted on Google Cloud that uses a MySQL relational database schema.
The application will have a large volume of reads and writes to the database and will require backups and ongoing capacity planning. Your team does not have time to fully manage the database but can take on small administrative tasks. How should you host the database?

Answer: B

Explanation:
https://cloud.google.com/spanner/docs/migrating-mysql-to-spanner#migration-process Cloud SQL: Cloud SQL is a web service that allows you to create, configure, and use relational databases that live in Google's cloud. It is a fully-managed service that maintains, manages, and administers your databases, allowing you to focus on your applications and services.
https://cloud.google.com/sql/docs/mysql Cloud SQL for MySQL is a fully-managed database service that helps you set up, maintain, manage, and administer your MySQL relational databases on Google Cloud Platform.


NEW QUESTION # 386
You have containerized a legacy application that stores its configuration on an NFS share. You need to deploy this application to Google Kubernetes Engine (GKE) and do not want the application serving traffic until after the configuration has been retrieved. What should you do?

Answer: B

Explanation:
https://cloud.google.com/kubernetes-engine/docs/concepts/persistent-volumes


NEW QUESTION # 387
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?

Answer: B

Explanation:
Reference: https://livebook.manning.com/book/kubernetes-in-action/chapter-10/46


NEW QUESTION # 388
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