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

Concept

data residency

Topic in 1 exam domain

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data residency · Concept
Data residency · Feature
data residency · Feature
Data residency · Concept
Data Residency · Feature

Also called: AI/ML data location, data residency controls, data residency for ML processing, DRZ, DRZs, Security Command Center data residency

A property describing where data is stored at rest, allowing data to be kept within a specified geographical boundary.

Where this appears on the exam

2 subdomains in 1 of 4 domains

Section 1
Data Preparation and Ingestion
1. 1.2Extract and load data into appropriate Google Cloud storage systems
  - Select the appropriate storage solution (e.g., Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner)
  - Choose the appropriate data storage location type (e.g., regional, dual-regional, multi-regional, zonal)

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

Concept

data residency

Topic in 1 exam domain

X LinkedIn Facebook Reddit

data residency · Concept
Data residency · Feature
data residency · Feature
Data residency · Concept
Data Residency · Feature

Also called: AI/ML data location, data residency controls, data residency for ML processing, DRZ, DRZs, Security Command Center data residency

A property describing where data is stored at rest, allowing data to be kept within a specified geographical boundary.

Where this appears on the exam

2 subdomains in 1 of 4 domains

Section 1
Data Preparation and Ingestion
1. 1.2Extract and load data into appropriate Google Cloud storage systems
  - Select the appropriate storage solution (e.g., Cloud Storage, BigQuery, Cloud SQL, Firestore, Bigtable, Spanner)
  - Choose the appropriate data storage location type (e.g., regional, dual-regional, multi-regional, zonal)

How learners score on this topic

Last updated November 2, 2026

Where this appears on the exam

Related topics

How learners score on this topic

Where this appears on the exam

Related topics

How learners score on this topic