Free Google Professional-Data-Engineer Exam Questions

Become Google Certified with updated Professional-Data-Engineer exam questions and correct answers

Page: 1 / 95

Total 472 Questions | Updated On: Nov 24, 2025

Add To Cart

Question 1

Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

A : hourly watermark

B : event time trigger

C : with Allowed Lateness method

D : processing time trigger

Answer: D

Question 2

What are the minimum permissions needed for a service account used with Google Dataproc?

A : ecute to Google Cloud Storage; write to Google Cloud Logging

B : ite to Google Cloud Storage; read to Google Cloud Logging

C : ecute to Google Cloud Storage; execute to Google Cloud Logging

D : ad and write to Google Cloud Storage; write to Google Cloud Logging

Answer: D

Question 3

You are working on a sensitive project involving private user data. You have set up a project on Google Cloud Platform to house your work internally. An external consultant is going to assist with coding a complex transformation in a Google Cloud Dataflow pipeline for your project. How should you maintain users’ privacy?

A : ant the consultant the Viewer role on the project.

B : ant the consultant the Cloud Dataflow Developer role on the project.

C : eate a service account and allow the consultant to log on with it.

D : eate an anonymized sample of the data for the consultant to work with in a different project.

Answer: C

Question 4

You want to optimize your queries for cost and performance. How should you structure your data?

A : Partition table data by create_date, location_id and device_version

B : rtition table data by create_date cluster table data by location_Id and device_version

C : uster table data by create_date location_id and device_version

D : uster table data by create_date partition by locationed and device_version

Answer: B

Question 5

A team of researchers is running a high performance distributed computing platform on premises but wants to migrate to Google Cloud. The platform uses virtual machines. The researchers want to be able to scale up the number of virtual machines in the cluster based on CPU load. What would you recommend they use?

A : Kubernetes cluster

B : Managed instance groups

C : Unmanaged instance groups

D : Cloud Run

Answer: B

Page: 1 / 95

Total 472 Questions | Updated On: Nov 24, 2025

Add To Cart