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Google Professional-Data-Engineer Exam With Confidence Using Practice Dumps

Exam Code:
Professional-Data-Engineer
Exam Name:
Google Professional Data Engineer Exam
Certification:
Google Cloud Certified
Vendor:
Google
Questions:
400
Last Updated:
Mar 2, 2026
Exam Status:
Stable
Google Professional-Data-Engineer

Professional-Data-Engineer: Google Cloud Certified Exam 2025 Study Guide Pdf and Test Engine

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Google Professional Data Engineer Exam Questions and Answers

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Question 1

MJTelco’s Google Cloud Dataflow pipeline is now ready to start receiving data from the 50,000 installations. You want to allow Cloud Dataflow to scale its compute power up as required. Which Cloud Dataflow pipeline configuration setting should you update?

Options:

A.

The zone

B.

The number of workers

C.

The disk size per worker

D.

The maximum number of workers

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Question 2

You have a petabyte of analytics data and need to design a storage and processing platform for it. You must be able to perform data warehouse-style analytics on the data in Google Cloud and expose the dataset as files for batch analysis tools in other cloud providers. What should you do?

Options:

A.

Store and process the entire dataset in BigQuery.

B.

Store and process the entire dataset in Cloud Bigtable.

C.

Store the full dataset in BigQuery, and store a compressed copy of the data in a Cloud Storage bucket.

D.

Store the warm data as files in Cloud Storage, and store theactive data inBigQuery. Keep this ratio as 80% warm and 20% active.

Question 3

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?

Options:

A.

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

B.

Create the ~gdpr" tag template with private visibility. Assign the datacatalog. tagTemplateViewer role on 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 HR group on the tables that containsensitive data.

D.

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

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