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 15, 2026

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Question 1

You are running a Dataflow streaming pipeline, with Streaming Engine and Horizontal Autoscaling enabled.

You have set the maximum number of workers to 1000. The input of your pipeline is Pub/Sub messages with

notifications from Cloud Storage One of the pipeline transforms reads CSV files and emits an element for

every CSV line. The Job performance is low. the pipeline is using only 10 workers, and you notice that the

autoscaler is not spinning up additional workers. What should you do to improve performance?

A : Use Dataflow Prime, and enable Right Fitting to increase the worker resources

B : Update the job to increase the maximum number of workers.

C : Enable Vertical Autoscaling to let the pipeline use larger workers.

D : Change the pipeline code, and introduce a Reshuffle step to prevent fusion.

Answer: D

Question 2

You have some data, which is shown in the graphic below. The two dimensions are X and Y, and the shade of each dot represents what class it is. You want to classify this data accurately using a linear algorithm

To do this you need to add a synthetic feature. What should the value of that feature be?

A : 2+Y^2

B : 2

C : (X)

Answer: C

Question 3

Your weather app queries a database every 15 minutes to get the current temperature. The frontend is powered by Google App Engine and server millions of users. How should you design the frontend to respond to a database failure?

A : ue a command to restart the database servers.

B : try the query with exponential backoff, up to a cap of 15 minutes.

C : try the query every second until it comes back online to minimize staleness of data.

D : duce the query frequency to once every hour until the database comes back online.

Answer: B

Question 4

An aerospace company uses a proprietary data format to store its night dat

a. You need to connect this new data source to BigQuery and stream the data into BigQuery. You want to efficiency import the data into BigQuery where consuming as few resources as possible. What should you do?

A : a standard Dataflow pipeline to store the raw data in BigQuery and then transform the format later when the data is used.

B : ite a shell script that triggers a Cloud Function that performs periodic ETL batch jobs on the new data source

C : Apache Hive to write a Dataproc job that streams the data into BigQuery in CSV format

D : an Apache Beam custom connector to write a Dataflow pipeline that streams the data into BigQuery in Avro format

Answer: D

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: Jan 15, 2026

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