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: Sep 22, 2026

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Question 1

You have a BigQuery table that ingests data directly from a Pub/Sub subscription. The ingested data is

encrypted with a Google-managed encryption key. You need to meet a new organization policy that requires

you to use keys from a centralized Cloud Key Management Service (Cloud KMS) project to encrypt data at

rest. What should you do?

A : Create a new BigOuory table by using customer-managed encryption keys (CMEK), and migrate thedata from the old BigQuery table

B : Create a new BigOuery table and Pub/Sub topic by using customer-managed encryption keys (CMEK),and migrate the data from the old Bigauery table.

C : Create a new Pub/Sub topic with CMEK and use the existing BigQuery table by using Google-managedencryption key.

D : Use Cloud KMS encryption key with Dataflow to ingest the existing Pub/Sub subscription to theexisting BigQuery table.

Answer: A

Question 2

Your startup has a web application that currently serves customers out of a single region in Asia. You are

targeting funding that will allow your startup lo serve customers globally. Your current goal is to optimize for

cost, and your post-funding goat is to optimize for global presence and performance. You must use a native

JDBC driver. What should you do?

A : Use Cloud Spanner to configure a single region instance initially. and then configure multi-region C oudSpanner instances after securing funding.

B : Use a Cloud SQL for PostgreSQL highly available instance first, and 8»gtable with US. Europe, andAsia replication alter securing funding

C : Use a Cloud SQL for PostgreSQL zonal instance first and Bigtable with US. Europe, and Asia aftersecuring funding.

D : Use a Cloud SOL for PostgreSQL zonal instance first, and Cloud SOL for PostgreSQL with highlyavailable configuration after securing funding.

Answer: A

Question 3

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 4

In order to securely transfer web traffic data from your computer's web browser to the Cloud Dataproc cluster you should use a(n) _____.

A : N connection

B : ecial browser

C : H tunnel

D : P connection

Answer: C

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: Sep 22, 2026

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