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: Apr 22, 2026

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Question 1

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

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

You create a new report for your large team in Google Data Studio 360. The report uses Google BigQuery as

its data source. It is company policy to ensure employees can view only the data associated with their region,

so you create and populate a table for each region. You need to enforce the regional access policy to the data.

Which two actions should you take? (Choose two.)

A : ure all the tables are included in global dataset.

B : ure each table is included in a dataset for a region.

C : just the settings for each table to allow a related region-based security group view access.

D : just the settings for each view to allow a related region-based security group view access.

E : just the settings for each dataset to allow a related region-based security group view access.

Answer: A,D

Question 4

Which of these are examples of a value in a sparse vector? (Select 2 answers.)

A : [0, 5, 0, 0, 0, 0]

B : [0, 0, 0, 1, 0, 0, 1]

C : [0, 1]

D : [1, 0, 0, 0, 0, 0, 0]

Answer: C,D

Question 5

You have a BigQuery dataset named "customers". All tables will be tagged by using a Data Catalog tag

template named "gdpr". The template contains one mandatory field, "has sensitive data~. with a boolean value.

All employees must be able to do a simple search and find tables in the dataset that have either true or false in

the "has sensitive data" field. However, only the Human Resources (HR) group should be able to see the data

inside the tables for which "hass-ensitive-data" is true. You give the all employees group the

bigquery.metadataViewer and bigquery.connectionUser roles on the dataset. You want to minimize

configuration overhead. What should you do next?

A : Create the "gdpr" tag template with private visibility. Assign the bigquery -dataViewer role to the HRgroup on the tables that contain sensitive data.

B : Create the ~gdpr" tag template with private visibility. Assign the datacatalog. tagTemplateViewer roleon this tag to the all employeesgroup, and assign the bigquery.dataViewer role to the HR group on the tables that contain sensitive data.

C : Create the "gdpr" tag template with public visibility. Assign the bigquery. dataViewer role to the HRgroup on the tables that containsensitive data.

D : Create the "gdpr" tag template with public visibility. Assign the datacatalog. tagTemplateViewer role onthis tag to the all employees.group, and assign the bijquery.dataViewer role to the HR group on the tables that contain sensitive data.

Answer: D

Page: 1 / 95

Total 472 Questions | Updated On: Apr 22, 2026

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