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 04, 2026

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Question 1

You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?

A : ke a call to the Stackdriver API to list all logs, and apply an advanced filter.

B : the Stackdriver logging admin interface, and enable a log sink export to BigQuery.

C : the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.

D : ing the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.

Answer: B

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 are part of a healthcare organization where data is organized and managed by respective data owners in

various storage services. As a result of this decentralized ecosystem, discovering and managing data has

become difficult You need to quickly identify and implement a cost-optimized solution to assist your

organization with the following

• Data management and discovery

• Data lineage tracking

• Data quality validation

How should you build the solution?

A : Use BigLake to convert the current solution into a data lake architecture.

B : Build a new data discovery tool on Google Kubernetes Engine that helps with new source onboarding and data lineage tracking

C : Use BigOuery to track data lineage, and use Dataprep to manage data and perform data quality validation

D : Use Dataplex to manage data, track data lineage, and perform data quality validation.

Answer: D

Question 4

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 5

A manufacturer of delivery drones is implementing a new data analysis pipeline to detect part failures before they occur. The drones have multiple sensors that send performance and environment data to an analytics pipeline. Currently, data is sent to a REST API endpoint. The REST API endpoint that receives data cannot always keep up with the pace data is arriving. When that happens, data is lost. Machine learning engineers have asked you to change the ingestion process to reduce this data loss. What would you do?

A : Write data to a Cloud Pub/Sub topic instead of a REST API endpoint and have the ingestion application read from the topic.

B : Write data to a Cloud Storage bucket instead of a REST API endpoint and have the ingestion application read from the bucket.

C : Write data to a Cloud SQL Postgres database endpoint and have the ingestion application query the database.

D : Create a Hadoop cluster in Compute Engine using managed instance groups and write data to an Hbase database and have the application query the database.

Answer: A

Page: 1 / 95

Total 472 Questions | Updated On: Jan 04, 2026

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