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Google Professional-Cloud-Developer Certification Exam is an important credential for developers who want to demonstrate their expertise in developing cloud-based applications using GCP. Google Certified Professional - Cloud Developer certification is recognized by employers and peers in the industry as a mark of excellence, and it can help developers advance their careers and increase their earning potential. Professional-Cloud-Developer Exam is a rigorous test of a developer's knowledge and skills, and passing it requires significant preparation and study. However, the benefits of obtaining the certification can be significant, both in terms of personal and professional development.

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Ensure Your Success With Valid & Updated Google Professional-Cloud-Developer Exam Questions [2026]

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The Google Professional Cloud Developer certification is created to validate the candidates’ understanding of Cloud-native software design principles. It also measures the ability of the specialists to build, test and deploy applications with the help of best practices for scalability, reliability, and security. To earn this sought-after certificate, the applicants need to ace a single exam.

Google Certified Professional - Cloud Developer Sample Questions (Q288-Q293):

NEW QUESTION # 288
Your application is built as a custom machine image. You have multiple unique deployments of the machine image. Each deployment is a separate managed instance group with its own template. Each deployment requires a unique set of configuration values. You want to provide these unique values to each deployment but use the same custom machine image in all deployments. You want to use out-of-the-box features of Compute Engine. What should you do?

A. Place the unique configuration values in the instance template startup script.
B. Place the unique configuration values in the persistent disk.
C. Place the unique configuration values in the instance template instance metadata.
D. Place the unique configuration values in a Cloud Bigtable table.

Answer: B

Explanation:
Reference: https://cloud.google.com/compute/docs/instance-groups

NEW QUESTION # 289
Your team develops services that run on Google Kubernetes Engine. You need to standardize their log data using Google-recommended practices and make the data more useful in the fewest number of steps. What should you do? (Choose two.)

A. Mandate the use of the Logging API in the application code to write structured logs to Cloud Logging.
B. Mandate the use of the Pub/Sub API to write structured data to Pub/Sub and create a Dataflow streaming pipeline to normalize logs and write them to BigQuery for analytics.
C. Write log output to standard output (stdout) as single-line JSON to be ingested into Cloud Logging as structured logs.
D. Create aggregated exports on application logs to Cloud Storage to facilitate log analytics.
E. Create aggregated exports on application logs to BigQuery to facilitate log analytics.

Answer: C,E

Explanation:
Explanation
https://cloud.google.com/stackdriver/docs/solutions/gke/managing-logs#best_practices

NEW QUESTION # 290
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 1 Spanner node.
C. Create a multi-regional Cloud Spanner instance with "nam-asia-eur1" configuration.
D. Create a minimum of two Cloud Spanner instances in separate regions with at least one node.
E. Create a cluster with at least 3 Spanner nodes.
F. Create a multi-regional Cloud Spanner instance with "nam3" configuration.

Answer: A,F

NEW QUESTION # 291
You are developing a microservice-based application that will be deployed on a Google Kubernetes Engine cluster. The application needs to read and write to a Spanner database. You want to follow security best practices while minimizing code changes. How should you configure your application to retrieve Spanner credentials?

A. Configure the appropriate routing rules, and use a VPC-native cluster to directly connect to the database.
B. Store the application credentials as Kubernetes Secrets, and expose them as environment variables.
C. Configure the appropriate service accounts, and use Workload Identity to run the pods.
D. Store the application credentials using Cloud Key Management Service, and retrieve them whenever a database connection is made.

Answer: C

Explanation:
Explanation
https://cloud.google.com/kubernetes-engine/docs/concepts/workload-identity

NEW QUESTION # 292
Your service adds text to images that it reads from Cloud Storage. During busy times of the year, requests to Cloud Storage fail with an HTTP 429 "Too Many Requests" status code.
How should you handle this error?

A. Change the storage class of the Cloud Storage bucket to Multi-regional.
B. Retry the request with a truncated exponential backoff strategy.
C. Request a quota increase from the GCP Console.
D. Add a cache-control header to the objects.

Answer: B

Explanation:
Reference: https://developers.google.com/gmail/api/v1/reference/quota

NEW QUESTION # 293
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