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Google Professional-Data-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Data-Engineer
Exam Name:
Google Professional Data Engineer Exam
Certification:
Vendor:
Questions:
387
Last Updated:
Jan 28, 2026
Exam Status:
Stable
Google Professional-Data-Engineer

Professional-Data-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Professional Data Engineer Exam Questions and Answers

Question 1

You work for a manufacturing plant that batches application log files together into a single log file once a day at 2:00 AM. You have written a Google Cloud Dataflow job to process that log file. You need to make sure the log file in processed once per day as inexpensively as possible. What should you do?

Options:

A.

Change the processing job to use Google Cloud Dataproc instead.

B.

Manually start the Cloud Dataflow job each morning when you get into the office.

C.

Create a cron job with Google App Engine Cron Service to run the Cloud Dataflow job.

D.

Configure the Cloud Dataflow job as a streaming job so that it processes the log data immediately.

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Question 2

You have a data pipeline with a Dataflow job that aggregates and writes time series metrics to Bigtable. You notice that data is slow to update in 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 data. What should you do?

Choose 2 answers

Options:

A.

Configure your Dataflow pipeline to use local execution.

B.

Modify your Dataflow pipeline lo use the Flatten transform before writing to Bigtable.

C.

Modify your Dataflow pipeline to use the CoGrcupByKey transform before writing to Bigtable.

D.

Increase the maximum number of Dataflow workers by setting maxNumWorkers in PipelineOptions.

E.

Increase the number of nodes in the Bigtable cluster.

Question 3

Cloud Bigtable is a recommended option for storing very large amounts of ____________________________?

Options:

A.

multi-keyed data with very high latency

B.

multi-keyed data with very low latency

C.

single-keyed data with very low latency

D.

single-keyed data with very high latency