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: Jan 28, 2026

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Question 1

Messages are unexpectedly accumulating in service using Cloud Pub/Sub. A developer unfamiliar with Cloud Pub/Sub has asked for our help in diagnosing the problem. What would you point out with respect to how messages are removed from Cloud Pub/Sub topics?

A : Once at least one subscriber for each topic has acknowledged the message it will be deleted from storage.

B : Once at least one subscriber for each bucket has acknowledged the message it will be deleted from storage.

C : Once at least one subscriber for any subscription has acknowledged the message it will be deleted from storage.

D : Once at least one subscriber for each subscription has acknowledged the message it will be deleted from storage.

Answer: D

Question 2

When you store data in Cloud Bigtable, what is the recommended minimum amount of stored data?

A : 500 TB

B : 1 GB

C : 1 TB

D : 500 GB

Answer: C

Question 3

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 4

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 5

You are designing a data warehouse in BigQuery to analyze sales data for a telecommunication service

provider. You need to create a data model for customers, products, and subscriptions All customers, products,

and subscriptions can be updated monthly, but you must maintain a historical record of all data. You plan to

use the visualization layer for current and historical reporting. You need to ensure that the data model is

simple, easy-to-use. and cost-effective. What should you do?

A : Create a normalized model with tables for each entity. Use snapshots before updates to track historical data

B : Create a normalized model with tables for each entity. Keep all input files in a Cloud Storage bucket to track historical data

C : Create a denormalized model with nested and repeated fields Update the table and use snapshots to track historical data

D : Create a denormalized, append-only model with nested and repeated fields Use the ingestion timestamp to track historical data.

Answer: D

Page: 1 / 95

Total 472 Questions | Updated On: Jan 28, 2026

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