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Google Professional-Cloud-Developer Exam Syllabus Topics:

Section	Objectives
Deploying applications	- Release management strategies - Containerization and deployment (Cloud Run, GKE) - CI/CD pipelines
Ensuring application performance and reliability	- Fault tolerance and incident response - Monitoring and logging (Cloud Monitoring, Cloud Logging) - Performance optimization
Building and testing applications	- Unit and integration testing strategies - Debugging and troubleshooting applications - Application development on Google Cloud
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)

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Google Certified Professional - Cloud Developer Sample Questions (Q310-Q315):

NEW QUESTION # 310
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?

A. Retry each failure at decreasing time intervals up to a maximum number of tries.
B. Retry each failure at a set time interval up to a maximum number of times.
C. Retry the failures in batch after a set number of failures is logged.
D. Retry each failure at increasing time intervals up to a maximum number of tries.

Answer: D

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

NEW QUESTION # 311
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?

A. Blue/green deployment
B. Recreate deployment
C. Canary deployment
D. Rolling deployment

Answer: A

NEW QUESTION # 312
Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture. How should you proceed with the migration?

A. Create Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.
B. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.
C. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.
D. Migrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.

Answer: B

NEW QUESTION # 313
Your company wants to expand their users outside the United States for their popular application. The company wants to ensure 99.999% availability of the database for their application and also wants to minimize the read latency for their users across the globe.
Which two actions should they take? (Choose two.)

A. Create a Cloud Dataflow pipeline to replicate data across different databases.
B. Create a cluster with at least 3 Spanner nodes.
C. Create a minimum of two Cloud Spanner instances in separate regions with at least one node.
D. Create a multi-regional Cloud Spanner instance with "nam3" configuration.
E. Create a multi-regional Cloud Spanner instance with "nam-asia-eur1" configuration.
F. Create a cluster with at least 1 Spanner node.

Answer: A,D

NEW QUESTION # 314
You want to use the Stackdriver Logging Agent to send an application's log file to Stackdriver from a Compute Engine virtual machine instance.
After installing the Stackdriver Logging Agent, what should you do first?

A. Create a Stackdriver Logs Export Sink with a filter that matches the application's log entries.
B. Configure the application log file as a custom source.
C. Grant the instance full access to all Cloud APIs.
D. Enable the Error Reporting API on the project.

Answer: C

NEW QUESTION # 315
......

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