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: Jul 02, 2026

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Question 1

Why do you need to split a machine learning dataset into training data and test data?

A : you can try two different sets of features

B : make sure your model is generalized for more than just the training data

C : allow you to create unit tests in your code

D : you can use one dataset for a wide model and one for a deep model

Answer: B

Question 2

You are part of a healthcare organization where data is organized and managed by respective data owners in

various storage services. As a result of this decentralized ecosystem, discovering and managing data has

become difficult You need to quickly identify and implement a cost-optimized solution to assist your

organization with the following

• Data management and discovery

• Data lineage tracking

• Data quality validation

How should you build the solution?

A : Use BigLake to convert the current solution into a data lake architecture.

B : Build a new data discovery tool on Google Kubernetes Engine that helps with new source onboarding and data lineage tracking

C : Use BigOuery to track data lineage, and use Dataprep to manage data and perform data quality validation

D : Use Dataplex to manage data, track data lineage, and perform data quality validation.

Answer: D

Question 3

You create a new report for your large team in Google Data Studio 360. The report uses Google BigQuery as

its data source. It is company policy to ensure employees can view only the data associated with their region,

so you create and populate a table for each region. You need to enforce the regional access policy to the data.

Which two actions should you take? (Choose two.)

A : ure all the tables are included in global dataset.

B : ure each table is included in a dataset for a region.

C : just the settings for each table to allow a related region-based security group view access.

D : just the settings for each view to allow a related region-based security group view access.

E : just the settings for each dataset to allow a related region-based security group view access.

Answer: A,D

Question 4

You work for a bank. You have a labelled dataset that contains information on already granted loan application and whether these applications have been defaulted. You have been asked to train a model to predict default rates for credit applicants. What should you do?

A : crease the size of the dataset by collecting additional data.

B : ain a linear regression to predict a credit default risk score.

C : move the bias from the data and collect applications that have been declined loans.

D : tch loan applicants with their social profiles to enable feature engineering.

Answer: B

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: Jul 02, 2026

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