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Google Cloud · Data & Analytics · Associate

Google Cloud Associate Data Practitioner exam guide

Exam Associate Data Practitioner

Associate Data Practitioner validates that you can ingest, prepare, analyze, orchestrate and manage data on Google Cloud, with BigQuery at the center. It is Google's entry hands-on data credential and a step toward Professional Data Engineer.

Questions50-60
Time limit120 minutes
Passing scoreSee official page
Exam fee$125 USD
Valid for3 years
DeliveryOnline proctored or onsite at a Pearson VUE test center

Format: Multiple choice. Fee note: Plus tax where applicable..

Who it's for

Junior data analysts, data engineers and ML practitioners with about six months of experience working with data on Google Cloud.

What the exam covers

Data Preparation and Ingestion30%
Data Analysis and Presentation27%
Data Pipeline Orchestration18%
Data Management25%

Eligibility & prerequisites

Required: None

Recommended: 6+ months of experience working with data on Google Cloud.

Keeping it active

Valid for 3 years. Renew by retaking the exam, or through Google Skills by completing the designated renewal courses and/or skill badges during the final year of validity, which extends the certification by 1 year (link CM Connect and Google Skills accounts with the same email).

Skills & careers

Skills it validates

  • Loading and transforming data into BigQuery and Cloud Storage
  • Writing SQL for analysis and BigQuery ML basics
  • Building dashboards with Looker and Looker Studio
  • Orchestrating pipelines with Dataflow, Dataform and Cloud Composer
  • Applying IAM, data lifecycle and governance controls
  • Choosing storage and processing services for a data use case

Job roles

Data AnalystJunior Data EngineerBI AnalystAnalytics EngineerData Operations Specialist

Where it fits in your path

Planning a degree too? See how this cert earns college credit in the College Credit Navigator.

Build my study plan

  1. Week 1: Complete the Data Practitioner learning path; load public datasets into BigQuery and practice SQL.
  2. Week 2: Data preparation and ingestion: Cloud Storage, Dataflow templates, Dataform and data quality checks.
  3. Week 3: Analysis and presentation: BigQuery ML, Looker Studio dashboards; orchestration with Cloud Composer and scheduled queries.
  4. Week 4: Data management: IAM, lifecycle policies, backups and governance; sample questions, then book.

Make it yours: pick your exam date and weekly hours. We'll split your time by domain weight and give you a printable plan.

Exam-day tips

  • Preparation/ingestion is the largest section at about 30%; know which ingestion tool fits batch vs streaming.
  • Expect many BigQuery questions: partitioning, clustering, cost control and access control.
  • Know when Dataflow, Dataproc, Dataform or Cloud Data Fusion is the simplest fit.
  • Google says the exam is being updated for branding changes; check the exam guide for current product names.
  • Read for cost and least-effort qualifiers; the cheapest managed option is often correct.

Key terms for this exam

All 17 terms Study with thinQcards™

Commonly confused on this exam

Frequently asked questions

How much does Associate Data Practitioner cost?

$125 plus tax.

Is it easier than Professional Data Engineer?

Yes. It is associate level, focused on executing data tasks rather than designing full data platforms.

How long is it valid?

3 years, renewable through Google Skills.

Do I need to know SQL?

Yes. BigQuery SQL is central to analysis and preparation questions.

Is it worth it?

Yes for early-career data professionals on Google Cloud; it bridges into Professional Data Engineer.

Official page: cloud.google.com. Reviewed November 2026. Vendors change fees and objectives, so confirm with the vendor before you book. Spot something out of date? Tell us.