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 data pipeline that writes data to Cloud Bigtable using well-designed row keys. You want to monitor your pipeline to determine when to increase the size of you Cloud Bigtable cluster. Which two actions can you take to accomplish this? Choose 2 answers.

A : view Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Read pressure index is above 100

B : view Key Visualizer metrics. Increase the size of the Cloud Bigtable cluster when the Write pressure index is above 100.

C : nitor the latency of write operations. Increase the size of the Cloud Bigtable cluster when there is a sustained increase in write latency.

D : nitor storage utilization. Increase the size of the Cloud Bigtable cluster when utilization increases above 70% of max capacity

E : nitor latency of read operations. Increase the size of the Cloud Bigtable cluster of read operations take longer than 100 ms

Answer: A,C

Question 2

You are developing an Apache Beam pipeline to extract data from a Cloud SQL instance by using JdbclO.

You have two projects running in Google Cloud. The pipeline will be deployed and executed on Dataflow in

Project A. The Cloud SQL instance is running jn Project B and does not have a public IP address. After

deploying the pipeline, you noticed that the pipeline failed to extract data from the Cloud SQL instance due to

connection failure. You verified that VPC Service Controls and shared VPC are not in use in these projects.

You want to resolve this error while ensuring that the data does not go through the public internet. What

should you do?

A : Set up VPC Network Peering between Project A and Project B. Add a firewall rule to allow the peeredsubnet range to access all instances on the network.

B : Turn off the external IP addresses on the Dataflow worker. Enable Cloud NAT in Project A.

C : Set up VPC Network Peering between Project A and Project B. Create a Compute Engine instance without external IP address in Project B on the peered subnet to serve as a proxy server to the Cloud SQL database.

D : Add the external IP addresses of the Dataflow worker as authorized networks in the Cloud SOL instance.

Answer: C

Question 3

Which Cloud Dataflow / Beam feature should you use to aggregate data in an unbounded data source every hour based on the time when the data entered the pipeline?

A : hourly watermark

B : event time trigger

C : with Allowed Lateness method

D : processing time trigger

Answer: D

Question 4

You are deploying MariaDB SQL databases on GCE VM Instances and need to configure monitoring and alerting. You want to collect metrics including network connections, disk IO and replication status from MariaDB with minimal development effort and use StackDriver for dashboards and alerts.

What should you do?

A : tall the OpenCensus Agent and create a custom metric collection application with a StackDriver exporter.

B : ace the MariaDB instances in an Instance Group with a Health Check.

C : tall the StackDriver Logging Agent and configure fluentd in_tail plugin to read MariaDB logs.

D : tall the StackDriver Agent and configure the MySQL plugin.

Answer: C

Question 5

A team of researchers is running a high performance distributed computing platform on premises but wants to migrate to Google Cloud. The platform uses virtual machines. The researchers want to be able to scale up the number of virtual machines in the cluster based on CPU load. What would you recommend they use?

A : Kubernetes cluster

B : Managed instance groups

C : Unmanaged instance groups

D : Cloud Run

Answer: B

Page: 1 / 95

Total 472 Questions | Updated On: Sep 22, 2026

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