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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:
Vendor:
Questions:
387
Last Updated:
Jan 30, 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

Question 1

After migrating ETL jobs to run on BigQuery, you need to verify that the output of the migrated jobs is the same as the output of the original. You’ve loaded a table containing the output of the original job and want to compare the contents with output from the migrated job to show that they are identical. The tables do not contain a primary key column that would enable you to join them together for comparison.

What should you do?

Options:

A.

Select random samples from the tables using the RAND() function and compare the samples.

B.

Select random samples from the tables using the HASH() function and compare the samples.

C.

Use a Dataproc cluster and the BigQuery Hadoop connector to read the data from each table and calculate a hash from non-timestamp columns of the table after sorting. Compare the hashes of each table.

D.

Create stratified random samples using the OVER() function and compare equivalent samples from each table.

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Question 2

You need to migrate a 2TB relational database to Google Cloud Platform. You do not have the resources to significantly refactor the application that uses this database and cost to operate is of primary concern.

Which service do you select for storing and serving your data?

Options:

A.

Cloud Spanner

B.

Cloud Bigtable

C.

Cloud Firestore

D.

Cloud SQL

Question 3

What are two methods that can be used to denormalize tables in BigQuery?

Options:

A.

1) Split table into multiple tables; 2) Use a partitioned table

B.

1) Join tables into one table; 2) Use nested repeated fields

C.

1) Use a partitioned table; 2) Join tables into one table

D.

1) Use nested repeated fields; 2) Use a partitioned table