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Google Professional-Cloud-Developer Exam Syllabus Topics:

SectionObjectives
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. Build application artifacts
  • 2. Implement CI/CD pipelines
  • 3. Perform application testing
Design scalable, available, and reliable cloud-native applications- Design highly performant applications and APIs
  • 1. Design secure applications
  • 2. Design resilient and scalable application architectures
  • 3. Choose storage options for application data
Manage application performance monitoring- Monitor and troubleshoot applications
  • 1. Configure logging and tracing
  • 2. Analyze metrics and alerts
  • 3. Optimize application performance
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

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Google Certified Professional - Cloud Developer Sample Questions (Q232-Q237):

NEW QUESTION # 232
You are capturing important audit activity in Stackdriver Logging. You need to read the information from Stackdriver Logging to perform real-time analysis of the logs. You will have multiple processes performing different types of analysis on the logging data. What should you do?

Answer: C

Explanation:
A is not correct because the API has read limits and is not a suitable solution if you have multiple readers. (https://cloud.google.com/logging/quotas) B is not correct because this solution is not real time.
(https://cloud.google.com/logging/docs/export/using_exported_logs#bigquery-availability) C is correct because this solution is real time.
(https://cloud.google.com/logging/docs/export/using_exported_logs#pubsub-availability) D is not correct because this solution is not real time.
(https://cloud.google.com/logging/docs/export/using_exported_logs#gcs-availability)


NEW QUESTION # 233
You are developing an internal application that will allow employees to organize community events within your company. You deployed your application on a single Compute Engine instance. Your company uses Google Workspace (formerly G Suite), and you need to ensure that the company employees can authenticate to the application from anywhere. What should you do?

Answer: C

Explanation:
https://cloud.google.com/iap/docs/concepts-overview#how_iap_works
When an application or resource is protected by IAP, it can only be accessed through the proxy by principals, also known as users, who have the correct Identity and Access Management (IAM) role. When you grant a user access to an application or resource by IAP, they're subject to the fine-grained access controls implemented by the product in use without requiring a VPN. When a user tries to access an IAP-secured resource, IAP performs authentication and authorization checks.


NEW QUESTION # 234
You recently joined a new team that has a Cloud Spanner database instance running in production. Your manager has asked you to optimize the Spanner instance to reduce cost while maintaining high reliability and availability of the database. What should you do?

Answer: D

Explanation:
Explanation
https://cloud.google.com/spanner/docs/compute-capacity#increasing_and_decreasing_compute_capacity


NEW QUESTION # 235
For this question, refer to the HipLocal case study.
Which Google Cloud product addresses HipLocal's business requirements for service level indicators and objectives?

Answer: A

Explanation:
Explanation
https://cloud.google.com/stackdriver/docs/solutions/slo-monitoring#defn-sli


NEW QUESTION # 236
You have an on-premises containerized service written in the current stable version of Python 3 that is available only to users in the United States. The service has high traffic during the day and no traffic at night. You need to migrate this application to Google Cloud and track error logs after the migration in Error Reporting. You want to minimize the cost and effort of these tasks. What should you do?

Answer: C

Explanation:
Cost-Effective: Cloud Run is designed for stateless services with high traffic during the day and can scale down to zero when not in use, making it a cost-effective choice for your application's traffic pattern.
Automatic Logging: Writing errors to standard error allows Cloud Run to automatically integrate with Google Cloud's logging infrastructure. This setup ensures that error logs are sent to Cloud Logging, which is compatible with Error Reporting.
Simplicity: This option minimizes the operational overhead compared to managing GKE, making it easier to deploy and maintain your service.


NEW QUESTION # 237
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