Free Google Professional-Data-Engineer Exam Questions

Become Google Certified with updated Professional-Data-Engineer exam questions and correct answers

Page: 1 / 95

Total 472 Questions | Updated On: Jul 13, 2026

Add To Cart

Question 1

Which of the following is NOT a valid use case to select HDD (hard disk drives) as the storage for Google Cloud Bigtable?

A : u expect to store at least 10 TB of data.

B : u will mostly run batch workloads with scans and writes, rather than frequently executing random reads of a small number of rows.

C : u need to integrate with Google BigQuery.

D : u will not use the data to back a user-facing or latency-sensitive application.

Answer: C

Question 2

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 3

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 4

You are designing the architecture of your application to store data in Cloud Storage. Your application consists of pipelines that read data from a Cloud Storage bucket that contains raw data, and write the data to a second bucket after processing. You want to design an architecture with Cloud Storage resources that are capable of being resilient if a Google Cloud regional failure occurs. You want to minimize the recovery point objective (RPO) if a failure occurs, with no impact on applications that use the stored data. What should you do?

A : Adopt two regional Cloud Storage buckets, and update your application to write the output on both buckets.

B : Adopt multi-regional Cloud Storage buckets in your architecture.

C : Adopt two regional Cloud Storage buckets, and create a daily task to copy from one bucket to the other.

D : Adopt a dual-region Cloud Storage bucket, and enable turbo replication in your architecture.

Answer: D

Question 5

You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

A : a SideInput that returns a Boolean if the element is corrupt.

B : a ParDo transform in Cloud Dataflow to discard corrupt elements

C : a Partition transform in Cloud Dataflow to separate valid data from corrupt data.

D : a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.

Answer: B

Page: 1 / 95

Total 472 Questions | Updated On: Jul 13, 2026

Add To Cart