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Google Professional Data Engineer Exam Questions - Navigate Your Path to Success

The Google Cloud Certified Professional Data Engineer (Professional Data Engineer) exam is a good choice for Cloud Administrator and if the candidate manages to pass Google Cloud Certified Professional Data Engineer exam, he/she will earn Google Cloud Certified Certification. Below are some essential facts for Google Professional Data Engineer exam candidates:

  • TrendyCerts offers 375 Questions that are based on actual Google Professional Data Engineer syllabus.
  • Our Google Professional Data Engineer Exam Practice Questions were last updated on: Mar 03, 2025

Sample Questions for Google Professional Data Engineer Exam Preparation

Question 1

You are designing the architecture of your application to store data in Cloud Storage. Your application consists of pipelines that read data from a Cloud Storage bucket that contains raw data, and write the data to a second bucket after processing. You want to design an architecture with Cloud Storage resources that are capable of being resilient if a Google Cloud regional failure occurs. You want to minimize the recovery point objective (RPO) if a failure occurs, with no impact on applications that use the stored dat

a. What should you do?

Correct : D

To ensure resilience and minimize the recovery point objective (RPO) with no impact on applications, using a dual-region bucket with turbo replication is the best approach. Here's why option D is the best choice:

Dual-Region Buckets:

Dual-region buckets store data redundantly across two distinct geographic regions, providing high availability and durability.

This setup ensures that data remains available even if one region experiences a failure.

Turbo Replication:

Turbo replication ensures that data is replicated between the two regions within 15 minutes, aligning with the requirement to minimize the recovery point objective (RPO).

This feature provides near real-time replication, significantly reducing the risk of data loss.

No Impact on Applications:

Applications continue to access the dual-region bucket without any changes, ensuring seamless operation even during a regional failure.

The dual-region setup transparently handles failover, providing uninterrupted access to data.

Steps to Implement:

Create a Dual-Region Bucket:

Create a dual-region Cloud Storage bucket in the Google Cloud Console, selecting appropriate regions (e.g., us-central1 and us-east1).

Enable Turbo Replication:

Enable turbo replication to ensure rapid data replication between the selected regions.

Configure Applications:

Ensure that applications read and write to the dual-region bucket, benefiting from its high availability and durability.

Test Failover:

Simulate a regional failure to verify that the dual-region bucket and turbo replication meet the required RPO and ensure data resilience.


Google Cloud Storage Dual-Region

Turbo Replication in Google Cloud Storage

Options Selected by Other Users:
Question 2

You are using Workflows to call an API that returns a 1 KB JSON response, apply some complex business logic on this response, wait for the logic to complete, and then perform a load from a Cloud Storage file to BigQuery. The Workflows standard library does not have sufficient capabilities to perform your complex logic, and you want to use Python's standard library instead. You want to optimize your workflow for simplicity and speed of execution. What should you do?

Correct : A


Options Selected by Other Users:
Google Professional Data Engineer