GOOGLE CLOUDGoogle Cloud Associate Data Practitioner
The Google Cloud Associate Data Practitioner certification validates your ability to apply core data concepts and Google Cloud data tools to real-world scenarios. It is designed for early-career data professionals who collect, transform, and analyze data to support business decisions. Earning it demonstrates that you can work confidently with BigQuery, Cloud Storage, and other Google Cloud data services.
218 practice questions · Updated 2026-07-30
4Domains
11Objectives
68Concepts
218Questions
ASSOCIATE-DATA-PRACTITIONER Curriculum
Every domain, objective, and concept the ASSOCIATE-DATA-PRACTITIONER exam measures.
- ETL vs ELT vs ETLT
- Data transfer tool selection
- Data quality assessment
- Data cleaning with Cloud Data Fusion
- Data cleaning with BigQuery and SQL
- Data cleaning with Dataflow
- Data format identification
- Extraction tool selection
- Storage solution selection
- Storage location type selection
- Data structure classification
- Data loading tools and methods
- BigQuery SQL query basics
- BigQuery reporting and aggregation
- Jupyter notebook setup and usage
- Data visualization in Jupyter notebooks
- Business question analysis workflow
- Dashboard creation in Looker
- Dashboard modification
- Dashboard sharing and scheduling
- Looker vs Looker Studio use cases
- LookML basic structure
- Modifying LookML parameters
- Identify ML use cases for BigQuery ML and AutoML
- Use pretrained Google LLMs via BigQuery remote connection
- Plan a standard ML project lifecycle
- Create BigQuery ML models with SQL
- Train BigQuery ML models
- Evaluate BigQuery ML models
- Perform inference with BigQuery ML models
- Organize models in Model Registry
- Data transformation tool selection
- ETL vs ELT evaluation
- Pipeline product selection
- Scheduled Queries in BigQuery
- Cloud Scheduler for Job Scheduling
- Cloud Composer for Workflow Orchestration
- Monitoring Dataflow Pipelines
- Log Analysis with Cloud Logging
- Monitoring with Cloud Monitoring
- Selecting Data Orchestration Solutions
- Dataproc Workflow Templates
- Workflows Service for Orchestration
- Event-Driven Data Ingestion with Pub/Sub
- Eventarc Triggers for Event-Driven Pipelines
- Dataform for Event-Driven Transformations
- Cloud Functions for Event-Driven Processing
- Cloud Run for Event-Driven Services
- Principle of Least Privilege
- IAM Roles and Permissions
- IAM for BigQuery
- IAM for Cloud Storage
- Cloud Storage Access Control Methods
- Analytics Hub Data Sharing
- Cloud Storage classes
- Lifecycle management rules
- Lifecycle management in BigQuery
- Archiving services evaluation
- Google-managed backup services
- Google-managed disaster recovery services
- Replication use cases
- Primary and secondary storage locations
- Zonal vs. regional redundancy
- Dual-region and multi-region storage
- Cloud SQL high availability and failover
- Encryption key management models
- Cloud KMS role and features
- Encryption in transit vs. at rest
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Percentages reflect share of the current practice bank, not official exam weightings — no structured per-skill weight is published for ASSOCIATE-DATA-PRACTITIONER, so none is invented.