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 24, 2026

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Question 1

A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?

A : Write data to a Cloud Pub/Sub topic instead of a REST API endpoint and have the ingestion application read from the topic.

B : Write data to a Cloud Storage bucket instead of a REST API endpoint and have the ingestion application read from the bucket.

C : Write data to a Cloud SQL Postgres database endpoint and have the ingestion application query the database.

D : Create a Hadoop cluster in Compute Engine using managed instance groups and write data to an Hbase database and have the application query the database.

Answer: A

Question 2

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 3

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 4

Which methods can be used to reduce the number of rows processed by BigQuery?

A : litting tables into multiple tables; putting data in partitions

B : litting tables into multiple tables; putting data in partitions; using the LIMIT clause

C : tting data in partitions; using the LIMIT clause

D : litting tables into multiple tables; using the LIMIT clause

Answer: A

Question 5

Analysts are using Cloud Data Studio for analyzing data sets. They would like to improve the performance of the time required to update tables and charts when working with the data. What would you recommend they try to improve performance?

A : Use an imported data source

B : Use a blended data source

C : Use a live data source

D : Use an extracted data source

Answer: D

Page: 1 / 95

Total 472 Questions | Updated On: May 24, 2026

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