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: Mar 05, 2026

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Question 1

If you're running a performance test that depends upon Cloud Bigtable, all the choices except one below are recommended steps. Which is NOT a recommended step to follow?

A : not use a production instance.

B : n your test for at least 10 minutes.

C : fore you test, run a heavy pre-test for several minutes.

D : at least 300 GB of data.

Answer: A

Question 2

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 3

Each analytics team in your organization is running BigQuery jobs in their own projects. You want to enable each team to monitor slot usage within their projects. What should you do?

A : eate a Stackdriver Monitoring dashboard based on the BigQuery metric query/scanned_bytes

B : eate a Stackdriver Monitoring dashboard based on the BigQuery metric slots/allocated_for_project

C : eate a log export for each project, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

D : eate an aggregated log export at the organization level, capture the BigQuery job execution logs, create a custom metric based on the totalSlotMs, and create a Stackdriver Monitoring dashboard based on the custom metric

Answer: D

Question 4

You work for a manufacturing plant that batches application log files together into a single log file once a day at 2:00 AM. You have written a Google Cloud Dataflow job to process that log file. You need to make sure the log file in processed once per day as inexpensively as possible. What should you do?

A : ange the processing job to use Google Cloud Dataproc instead

B : nually start the Cloud Dataflow job each morning when you get into the office.

C : eate a cron job with Google App Engine Cron Service to run the Cloud Dataflow job.

D : nfigure the Cloud Dataflow job as a streaming job so that it processes the log data immediately.

Answer: C

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: Mar 05, 2026

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