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: Nov 10, 2025

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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

You are designing a Dataflow pipeline for a batch processing job. You want to mitigate multiple zonal failures

at job submission time. What should you do?

A : Specify a worker region by using the —region flag.

B : Set the pipeline staging location as a regional Cloud Storage bucket.

C : Submit duplicate pipelines in two different zones by using the —zone flag.

D : Create an Eventarc trigger to resubmit the job in case of zonal failure when submitting the job.

Answer: A

Question 3

You have several Spark jobs that run on a Cloud Dataproc cluster on a schedule. Some of the jobs run in sequence, and some of the jobs run concurrently. You need to automate this process. What should you do?

A : eate a Cloud Dataproc Workflow Template

B : eate an initialization action to execute the jobs

C : eate a Directed Acyclic Graph in Cloud Composer

D : eate a Bash script that uses the Cloud SDK to create a cluster, execute jobs, and then tear down the cluster

Answer: C

Question 4

You work for a shipping company that uses handheld scanners to read shipping labels. Your company has strict data privacy standards that require scanners to only transmit recipients’ personally identifiable information (PII) to analytics systems, which violates user privacy rules. You want to quickly build a scalable solution using cloud-native managed services to prevent exposure of PII to the analytics systems. What should you do?

A : eate an authorized view in BigQuery to restrict access to tables with sensitive data.

B : tall a third-party data validation tool on Compute Engine virtual machines to check the incoming data for sensitive information

C : Stackdriver logging to analyze the data passed through the total pipeline to identify transactions that may contain sensitive information

D : ild a Cloud Function that reads the topics and makes a call to the Cloud Data Loss Prevention API. Use the tagging and confidence levels to either pass or quarantine the data in a bucket for review.

Answer: D

Question 5

You work for a large ecommerce company. You are using Pub/Sub to ingest the clickstream data to Google Cloud for analytics. You observe that when a new subscriber connects to an existing topic to analyze data, they are unable to subscribe to older data for an upcoming yearly sale event in two months, you need a solution that, once implemented, will enable any new subscriber to read the last 30 days of data. What should you do?

A : Create a new topic, and publish the last 30 days of data each time a new subscriber connects to an existing topic.

B : Set the topic retention policy to 30 days.

C : Set the subscriber retention policy to 30 days.

D : Ask the source system to re-push the data to Pub/Sub, and subscribe to it.

Answer: B

Page: 1 / 95

Total 472 Questions | Updated On: Nov 10, 2025

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