Free Google Professional-Data-Engineer Exam Questions

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

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Total 472 Questions | Updated On: Apr 22, 2026

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Question 1

Your new customer has requested daily reports that show their net consumption of Google Cloud compute

resources and who used the resources. You need to quickly and efficiently generate these daily reports. What

should you do?

A : Do daily exports of Cloud Logging data to BigQuery. Create views filtering by project, log type, resource, and user.

B : Filter data in Cloud Logging by project, resource, and user; then export the data in CSV format.

C : Filter data in Cloud Logging by project, log type, resource, and user, then import the data into BigQuery.

D : Export Cloud Logging data to Cloud Storage in CSV format. Cleanse the data using Dataprep, filtering by project, resource, and user.

Answer: B

Question 2

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 3

You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients’ personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A : eate an authorized view in BigQuery to restrict access to tables with sensitive data.

B : tall a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information

C : Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information

D : ild a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention API. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.

Answer: D

Question 4

Your company maintains a hybrid deployment with GCP, where analytics are performed on your anonymized customer data. The data are imported to Cloud Storage from your data center through parallel uploads to a data transfer server running on GCP. Management informs you that the daily transfers take too long and have asked you to fix the problem. You want to maximize transfer speeds. Which action should you take?

A : crease the CPU size on your server.

B : crease the size of the Google Persistent Disk on your server.

C : crease your network bandwidth from your datacenter to GCP.

D : crease your network bandwidth from Compute Engine to Cloud Storage.

Answer: C

Question 5

You are designing a basket abandonment system for an ecommerce company. The system will send a message

to a user based on these rules:

No interaction by the user on the site for 1 hour

Has added more than $30 worth of products to the basket

Has not completed a transaction

You use Google Cloud Dataflow to process the data and decide if a message should be sent. How should you

design the pipeline?

A : a fixed-time window with a duration of 60 minutes.

B : a sliding time window with a duration of 60 minutes.

C : a session window with a gap time duration of 60 minutes.

D : a global window with a time based trigger with a delay of 60 minutes.

Answer: C

Page: 1 / 95

Total 472 Questions | Updated On: Apr 22, 2026

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