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: May 12, 2026

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Question 1

You need to migrate a 2TB relational database to Google Cloud Platform. You do not have the resources to

significantly refactor the application that uses this database and cost to operate is of primary concern.

Which service do you select for storing and serving your data?

A : oud Spanner

B : oud Bigtable

C : oud Firestore

D : oud SQL

Answer: D

Question 2

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 3

Your company is running their first dynamic campaign, serving different offers by analyzing real-time data during the holiday season. The data scientists are collecting terabytes of data that rapidly grows every hour during their 30-day campaign. They are using Google Cloud Dataflow to preprocess the data and collect the feature (signals) data that is needed for the machine learning model in Google Cloud Bigtable. The team is observing suboptimal performance with reads and writes of their initial load of 10 TB of data. They want to improve this performance while minimizing cost. What should they do?

A : define the schema by evenly distributing reads and writes across the row space of the table.

B : performance issue should be resolved over time as the site of the BigDate cluster is increased.

C : design the schema to use a single row key to identify values that need to be updated frequently in the cluster.

D : design the schema to use row keys based on numeric IDs that increase sequentially per user viewing the offers.

Answer: A

Question 4

You are developing a data pipeline that will run several data transformation programs on Compute Engine virtual machines. You do not want to use your credentials for authenticating and authorizing these programs. You want to follow Google Cloud recommended practices, how would you authenticate and authorize the data transformation programs?

A : Create a Gmail account and use that account to create an IAM group. Store the password for the group in Secret Manager.

B : Create a service account and assign roles to the service account that are needed to execute the data transformation programs. Use Google managed keys to store both public and private portion of the service account keys.

C : Create a Gmail account and use that account to create an IAM user. Store the password for the account in Secret Manager.

D : Create a service account and assign roles to the service account that are needed to execute the data transformation programs. Use Secret Manager to store service account keys.

Answer: B

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: May 12, 2026

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