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Google Professional-Data-Engineer Exam Dumps

Get All Google Cloud Certified Professional Data Engineer Exam Questions with Validated Answers

Professional-Data-Engineer Pack
Vendor: Google
Exam Code: Professional-Data-Engineer
Exam Name: Google Cloud Certified Professional Data Engineer
Exam Questions: 384
Last Updated: December 18, 2025
Related Certifications: Google Cloud Certified
Exam Tags: Professional Cloud Administrator
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Free Google Professional-Data-Engineer Exam Actual Questions

Question No. 1

You need to copy millions of sensitive patient records from a relational database to BigQuery. The total size of the database is 10 TB. You need to design a solution that is secure and time-efficient. What should you do?

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Correct Answer: A

Question No. 2

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

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Correct Answer: A

If you split a table into multiple tables (such as one table for each day), then you can limit your query to the data in specific tables (such as for particular days). A better method is to use a partitioned table, as long as your data can be separated by the day.

If you use the LIMIT clause, BigQuery will still process the entire table.


Question No. 3

You have a data pipeline with a Cloud Dataflow job that aggregates and writes time series metrics to Cloud Bigtable. This data feeds a dashboard used by thousands of users across the organization. You need to support additional concurrent users and reduce the amount of time required to write the dat

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

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Correct Answer: B, C

Question No. 4

You need to choose a database for a new project that has the following requirements:

Fully managed

Able to automatically scale up

Transactionally consistent

Able to scale up to 6 TB

Able to be queried using SQL

Which database do you choose?

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Correct Answer: C

Question No. 5

You are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?

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Correct Answer: C

https://cloud.google.com/automl-tables/docs/prepare


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