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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
Topic 1: Build and test applications- Manage development environments
  • 1. Perform application testing
  • 2. Implement CI/CD pipelines
  • 3. Build application artifacts
Topic 2: Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Analyze metrics and alerts
  • 2. Configure logging and tracing
  • 3. Optimize application performance
Topic 3: Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Design resilient and scalable application architectures
  • 2. Design secure applications
  • 3. Choose storage options for application data
Topic 4: Integrate applications with Google Cloud services- Integrate with data and storage services
  • 1. Implement authentication and authorization
  • 2. Integrate with Google Cloud APIs
  • 3. Use messaging and event-driven services
Topic 5: Deploy applications- Deploy applications to Google Cloud
  • 1. Manage application rollout strategies
  • 2. Deploy applications to Google Kubernetes Engine
  • 3. Deploy applications using Cloud Run

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Google Certified Professional - Cloud Developer Sample Questions (Q111-Q116):

NEW QUESTION # 111
You support an application that uses the Cloud Storage API. You review the logs and discover multiple HTTP 503 Service Unavailable error responses from the API. Your application logs the error and does not take any further action. You want to implement Google-recommended retry logic to improve success rates.
Which approach should you take?

Answer: A

Explanation:
https://cloud.google.com/storage/docs/retry-strategy


NEW QUESTION # 112
Your application takes an input from a user and publishes it to the user's contacts. This input is stored in a table in Cloud Spanner. Your application is more sensitive to latency and less sensitive to consistency.
How should you perform reads from Cloud Spanner for this application?

Answer: A


NEW QUESTION # 113
Your application performs well when tested locally, but it runs significantly slower when you deploy it to App Engine standard environment. You want to diagnose the problem.
What should you do?

Answer: A


NEW QUESTION # 114
You are using Cloud Build to create a new Docker image on each source code commit to a Cloud Source Repositoties repository. Your application is built on every commit to the master branch. You want to release specific commits made to the master branch in an automated method. What should you do?

Answer: B


NEW QUESTION # 115
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?

Answer: D

Explanation:
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.


NEW QUESTION # 116
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