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

Dataflow

Topic in 16 exam domains

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Also called: Dataflow managed service, Dataflow service, Datflow, Google Cloud Dataflow, standard Dataflow

Dataflow is a fully managed Google Cloud service for unified stream and batch data processing pipelines at scale. On Associate Data Practitioner it comes up as a compute engine for custom ETL workflows, data cleaning operations, and large-scale data migrations.

What you can expect on the exam

Unified stream and batch processing. Expect to identify when Dataflow is suited for complex transformations requiring a single pipeline model for continuous stream data and bulk batch data.
Temporary staging with Cloud Storage. Be ready to integrate Dataflow with Cloud Storage to read input files, stage temporary job files, and hold intermediate data during pipeline runs.
Data cleaning and quality enforcement. You may need to apply Dataflow to execute custom cleaning logic, such as deduplication and missing value imputation, while validating data accuracy and consistency.
Tool selection for data manipulation architectures. Know the difference between custom compute transformations in Dataflow and visual or warehouse-native alternatives when selecting an extraction tool for ETL workflows.

Where this appears on the exam

11 subdomains in 3 of 4 domains

Practice questions on this topic

2 questions

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

Dataflow Unified Batch and Stream Processing

Identify use cases for event-driven data ingestion from Pub/Sub to BigQuery

Pub/Sub BigQuery Subscription

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

Dataflow

Topic in 16 exam domains

X LinkedIn Facebook Reddit

Also called: Dataflow managed service, Dataflow service, Datflow, Google Cloud Dataflow, standard Dataflow

What you can expect on the exam

Unified stream and batch processing. Expect to identify when Dataflow is suited for complex transformations requiring a single pipeline model for continuous stream data and bulk batch data.
Temporary staging with Cloud Storage. Be ready to integrate Dataflow with Cloud Storage to read input files, stage temporary job files, and hold intermediate data during pipeline runs.
Data cleaning and quality enforcement. You may need to apply Dataflow to execute custom cleaning logic, such as deduplication and missing value imputation, while validating data accuracy and consistency.
Tool selection for data manipulation architectures. Know the difference between custom compute transformations in Dataflow and visual or warehouse-native alternatives when selecting an extraction tool for ETL workflows.

Where this appears on the exam

11 subdomains in 3 of 4 domains

Practice questions on this topic

2 questions

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

Dataflow Unified Batch and Stream Processing

Identify use cases for event-driven data ingestion from Pub/Sub to BigQuery

Pub/Sub BigQuery Subscription

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

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

Identify use cases for event-driven data ingestion from Pub/Sub to BigQuery

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

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

Identify use cases for event-driven data ingestion from Pub/Sub to BigQuery

Related topics

How learners score on this topic