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: Jun 17, 2026

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Question 1

You are consulting to a company developing an IoT application that analyzes data from sensors deployed on drones. The application depends on a database that can write large volumes of data at low latency. The company has used Hadoop HBase in the past but wants to migrate to a managed database service. What service would you recommend?

A : Bigtable

B : Cloud Firestore

C : Cloud Spanner

D : BigQuery

Answer: A

Question 2

You want to schedule a number of sequential load and transformation jobs Data files will be added to a Cloud

Storage bucket by an upstream process There is no fixed schedule for when the new data arrives Next, a

Dataproc job is triggered to perform some transformations and write the data to BigQuery. You then need to

run additional transformation jobs in BigQuery The transformation jobs are different for every table These

jobs might take hours to complete You need to determine the most efficient and maintainable workflow to

process hundreds of tables and provide the freshest data to your end users. What should you do?

A : 1Create an Apache Airflow directed acyclic graph (DAG) in Cloud Composer with sequential tasks byusing the Cloud Storage. Dataproc. and BigQuery operators2 Use a single shared DAG for all tables that need to go through the pipeline3 Schedule the DAG to run hourly

B : 1 Create an Apache Airflow directed acyclic graph (DAG) in Cloud Composer with sequential tasks byusing the Dataproc and BigQuery operators.2 Create a separate DAG for each table that needs to go through the pipeline3 Use a Cloud Storage object trigger to launch a Cloud Function that triggers the DAG

C : 1 Create an Apache Airflow directed acyclic graph (DAG) in Cloud Composer with sequential tasks byusing the Cloud Storage, Dataproc. and BigQuery operators2 Create a separate DAG for each table that needs to go through the pipeline3 Schedule the DAGs to run hourly

D : 1 Create an Apache Airflow directed acyclic graph (DAG) in Cloud Composer with sequential tasks byusing the Dataproc and BigQuery operators2 Use a single shared DAG for all tables that need to go through the pipeline.3 Use a Cloud Storage object trigger to launch a Cloud Function that triggers the DAG

Answer: B

Question 3

Messages are unexpectedly accumulating in service using Cloud Pub/Sub. A developer unfamiliar with Cloud Pub/Sub has asked for our help in diagnosing the problem. What would you point out with respect to how messages are removed from Cloud Pub/Sub topics?

A : Once at least one subscriber for each topic has acknowledged the message it will be deleted from storage.

B : Once at least one subscriber for each bucket has acknowledged the message it will be deleted from storage.

C : Once at least one subscriber for any subscription has acknowledged the message it will be deleted from storage.

D : Once at least one subscriber for each subscription has acknowledged the message it will be deleted from storage.

Answer: D

Question 4

You are developing a software application using Google's Dataflow SDK, and want to use conditional, for loops and other complex programming structures to create a branching pipeline. Which component will be used for the data processing operation?

A : ollection

B : ansform

C : peline

D : nk API

Answer: B

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: Jun 17, 2026

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