Course Introduction
Associate certification
Google Associate Data Practitioner
Secure and manage data across ingestion, transformation, analytics, and visualization on Google Cloud. This guide follows the official v1.0 exam domains with detailed service explanations and action-oriented checklists.
Data lifecycle coverage
Ingest, store, analyze, and govern data with the right Google Cloud services.
Service fluency
Know when to use BigQuery, Cloud Storage, Dataflow, Looker, and ML tooling.
Exam focus areas
BigQuery fundamentals, SQL proficiency, Looker Studio reporting, and secure access.
Status
Interactive guide is live with deeper walkthroughs below.
BigQuery, SQL, and Visualization Essentials
This certification validates your ability to perform data tasks, write SQL, and visualize data using Google Cloud tools.
Exam Overview
Role level: Associate (hands-on, tactical)
Length: 2 hours
Format: Multiple choice
Key focus: SQL proficiency, BigQuery usage, and data visualization with Looker Studio
Exam Domains (4 Sections)
Open each section for key objectives.
1) BigQuery fundamentals (the warehouse)
Understand architecture, loading and exporting data, schemas, and performance features like partitioning and clustering.
2) SQL proficiency (the language)
Write queries, aggregations, joins, and common SQL functions with confidence.
3) Visualization and reporting (the presentation)
Use Looker Studio to connect data, choose charts, and build reports.
4) Security and access (the governance)
Apply IAM roles and authorized views to share data securely.
How to Use This Guide
- Mark off topics as you master them.
- Use self-checks to test understanding.
- Apply scenario challenges to business decisions.
Cheatsheet: SQL and BigQuery Basics
| Function or term | Definition |
|---|---|
| SELECT * EXCEPT(col1) | Select all columns except the ones listed (useful for excluding PII). |
| _PARTITIONDATE | Pseudo-column used to filter partitioned tables. |
| Dry run | Check query cost and syntax without running it. |
| Wildcard tables | Query multiple tables using * (example: FROM events_2023*). |
| Materialized view | Pre-computed view that refreshes automatically for speed and savings. |
| Looker Studio blended data | Left-join two data sources inside a dashboard. |
Flashcards
ADP core services and decision points
Question Text
Click to reveal answerAnswer Text
Decision Maps
Use these quick cues to choose the right services.