Professional-Data-Engineer Exam Dumps | You store and analyze your relational data in BigQuery on Google Cloud with all data that resides in

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Google.Professional-Data-Engineer.v2025-10-08.q180
Question 172

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Question 172/180

You store and analyze your relational data in BigQuery on Google Cloud with all data that resides in US regions. You also have a variety of object stores across Microsoft Azure and Amazon Web Services (AWS), also in US regions. You want to query all your data in BigQuery daily with as little movement of data as possible. What should you do?

A. Load files from AWS and Azure to Cloud Storage with Cloud Shell gautil rsync arguments.

B. Create a Dataflow pipeline to ingest files from Azure and AWS to BigQuery.

C. Use the BigQuery Omni functionality and BigLake tables to query files in Azure and AWS.

D. Use BigQuery Data Transfer Service to load files from Azure and AWS into BigQuery.

Correct Answer: B

BigQuery Omni is a multi-cloud analytics solution that lets you use the BigQuery interface to analyze data stored in other public clouds, such as AWS and Azure, without moving or copying the data. BigLake tables are a type of external table that let you query structured data in external data stores with access delegation. By using BigQuery Omni and BigLake tables, you can query data in AWS and Azure object stores directly from BigQuery, with minimal data movement and consistent performance. References:
* 1: Introduction to BigLake tables
* 2: Deep dive on how BigLake accelerates query performance
* 3: BigQuery Omni and BigLake (Analytics Data Federation on GCP)

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