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Google Professional-Data-Engineer Dumps Questions Answers

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Google Professional Data Engineer Exam

Last Update Dec 9, 2025
Total Questions : 387 With Comprehensive Analysis

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Google Professional-Data-Engineer Exam Dumps FAQs

The Professional-Data-Engineer Google Cloud Certified exam consists of multiple-choice and multiple-select questions. The exam duration is 2 hours, and the passing score is 70%.
The Professional-Data-Engineer Google Cloud Certified exam tests your ability to design, build, and manage data systems on Google Cloud. It covers data processing, machine learning, security, and optimization.
ClapGeek offers a range of study materials, including comprehensive Professional-Data-Engineer exam dumps, practice tests, and expertly crafted study guides. Our Professional-Data-Engineer exam materials cover all topics required for the Google Professional-Data-Engineer certification.
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  • Google Professional-Data-Engineer Exam: The Google Professional-Data-Engineer Exam focuses on advanced data engineering tasks, such as designing, building, and maintaining scalable data processing systems and implementing machine learning models on Google Cloud.
  • Google Cloud-Digital-Leader Exam: The Google Cloud-Digital-Leader Exam centers on foundational knowledge of cloud computing and understanding how Google Cloud products and services can be leveraged to achieve business objectives.
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Google Professional Data Engineer Exam Questions and Answers

Questions 1

What are two of the characteristics of using online prediction rather than batch prediction?

Options:

A.

It is optimized to handle a high volume of data instances in a job and to run more complex models.

B.

Predictions are returned in the response message.

C.

Predictions are written to output files in a Cloud Storage location that you specify.

D.

It is optimized to minimize the latency of serving predictions.

Questions 2

You have a job that you want to cancel. It is a streaming pipeline, and you want to ensure that any data that is in-flight is processed and written to the output. Which of the following commands can you use on the Dataflow monitoring console to stop the pipeline job?

Options:

A.

Cancel

B.

Drain

C.

Stop

D.

Finish

Questions 3

Which of these is not a supported method of putting data into a partitioned table?

Options:

A.

If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.

B.

Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".

C.

Create a partitioned table and stream new records to it every day.

D.

Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".