Show you can work with data on Google Cloud, from ingesting and analyzing it with BigQuery and Looker to managing access, and track your readiness for the Associate Data Practitioner exam.

Fundamental

Prepare and test your skills

Fundamental

Prepare and test your skills

Google Cloud service

BigQuery Data Transfer Service

Topic in 5 exam domains

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BigQuery Data Transfer Service · Service
BigQuery Data Transfer Service · Feature · BigQuery

Also called: BigQuery Data Transfer API, BigQuery Data Transfer Service API, BigQuery Migration Service Data Transfer Service, bigquerydatatransfer, bigquerydatatransfer.googleapis.com, BQDT, Data Transfer API, Data Transfer Service, DTS

The BigQuery Data Transfer Service is a fully managed service that automates scheduled extract and load pipelines into BigQuery without requiring code. On Associate Data Practitioner it comes up as a no-code ingestion mechanism evaluated against other Google Cloud extraction tools for scheduling recurring data movement into BigQuery.

What you can expect on the exam

Directional load limitations. Be ready to recognize that BigQuery Data Transfer Service only loads data into BigQuery and cannot be used to transfer data out.
Transfer configuration and backfill management. You may need to know that BigQuery Data Transfer Service processes data in the destination dataset location and supports backfill requests of up to 180 days to recover data gaps.
Integration for notifications and events. Expect to encounter how BigQuery Data Transfer Service integrates with Pub/Sub for transfer run notifications and Cloud Storage for event-driven transfers.

Where this appears on the exam

3 subdomains in 2 of 4 domains

Practice questions on this topic

3 questions

1.2 Extract and load data into appropriate Google Cloud storage systems

BigQuery Data Transfer Service Supported Formats

Choose the appropriate extraction tool (e.g., Dataflow, BigQuery Data Transfer Service, Database Migration Service, Cloud Data Fusion)

Dataflow Unified Batch and Stream Processing

3.2 Schedule, automate, and monitor basic data processing tasks

Log-based Metrics

Practice this domain

How learners score on this topic

Last updated November 2, 2026

Associate Data Practitioner

Show you can work with data on Google Cloud, from ingesting and analyzing it with BigQuery and Looker to managing access, and track your readiness for the Associate Data Practitioner exam.

Fundamental

Prepare and test your skills

Fundamental

Prepare and test your skills

Google Cloud service

BigQuery Data Transfer Service

Topic in 5 exam domains

X LinkedIn Facebook Reddit

BigQuery Data Transfer Service · Service
BigQuery Data Transfer Service · Feature · BigQuery

What you can expect on the exam

Directional load limitations. Be ready to recognize that BigQuery Data Transfer Service only loads data into BigQuery and cannot be used to transfer data out.
Transfer configuration and backfill management. You may need to know that BigQuery Data Transfer Service processes data in the destination dataset location and supports backfill requests of up to 180 days to recover data gaps.
Integration for notifications and events. Expect to encounter how BigQuery Data Transfer Service integrates with Pub/Sub for transfer run notifications and Cloud Storage for event-driven transfers.

Where this appears on the exam

3 subdomains in 2 of 4 domains

Practice questions on this topic

3 questions

1.2 Extract and load data into appropriate Google Cloud storage systems

BigQuery Data Transfer Service Supported Formats

Choose the appropriate extraction tool (e.g., Dataflow, BigQuery Data Transfer Service, Database Migration Service, Cloud Data Fusion)

Dataflow Unified Batch and Stream Processing

3.2 Schedule, automate, and monitor basic data processing tasks

Log-based Metrics

Practice this domain

How learners score on this topic

Last updated November 2, 2026

What you can expect on the exam

Where this appears on the exam

Practice questions on this topic

1.2 Extract and load data into appropriate Google Cloud storage systems

Choose the appropriate extraction tool (e.g., Dataflow, BigQuery Data Transfer Service, Database Migration Service, Cloud Data Fusion)

3.2 Schedule, automate, and monitor basic data processing tasks

Related topics

How learners score on this topic

What you can expect on the exam

Where this appears on the exam

Practice questions on this topic

1.2 Extract and load data into appropriate Google Cloud storage systems

Choose the appropriate extraction tool (e.g., Dataflow, BigQuery Data Transfer Service, Database Migration Service, Cloud Data Fusion)

3.2 Schedule, automate, and monitor basic data processing tasks

Related topics

How learners score on this topic