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 28, 2026

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Question 1

An online brokerage company requires a high volume trade processing architecture. You need to create a secure queuing system that triggers jobs. The jobs will run in Google Cloud and cat the company's Python API to execute trades. You need to efficiently implement a solution. What should you do?

A : Cloud Composer to subscribe to a Pub/Sub tope and can the Python API.

B : a Pub/Sub push subscription to trigger a Cloud Function to pass the data to tie Python API.

C : ite an application that makes a queue in a NoSQL database

D : ite an application hosted on a Compute Engine instance that makes a push subscription to the Pub/Sub topic

Answer: C

Question 2

Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?

A : Google Stackdriver Audit Logs to review data access.

B : t the identity and access management IIAM) policy of each table

C : Stackdriver Monitoring to see the usage of BigQuery query slots.

D : the Google Cloud Billing API to see what account the warehouse is being billed to.

Answer: A

Question 3

How would you query specific partitions in a BigQuery table?

A : the DAY column in the WHERE clause

B : the EXTRACT(DAY) clause

C : the __PARTITIONTIME pseudo-column in the WHERE clause

D : DATE BETWEEN in the WHERE clause

Answer: C

Question 4

You have a data processing application that runs on Google Kubernetes Engine (GKE). Containers need to be

launched with their latest available configurations from a container registry. Your GKE nodes need to have

GPUs. local SSDs, and 8 Gbps bandwidth. You want to efficiently provision the data processing infrastructure

and manage the deployment process. What should you do?

A : Use Compute Engi.no startup scriots to pull container Images, and use gloud commands to provision theinfrastructure.

B : Use GKE to autoscale containers, and use gloud commands to provision the infrastructure.

C : Use Cloud Build to schedule a job using Terraform build to provision the infrastructure and launch with the most current container images.

D : Use Dataflow to provision the data pipeline, and use Cloud Scheduler to run the job.

Answer: C

Question 5

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

Page: 1 / 95

Total 472 Questions | Updated On: Jan 28, 2026

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