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Google Cloud · GCP-ADP · Intermediate

Associate Data Practitioner

Validates the ability to secure and manage data on Google Cloud, including data ingestion, transformation, pipeline management, analysis, machine learning, and visualization. 55+ AI-generated practice questions with explanations. Free trial, pass guarantee.

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55 Questions
120min Time Limit
70% Pass Score
$125 USD Exam Fee

About the exam

The Associate Data Practitioner certification is a newer Google Cloud credential launched in 2025, validating the ability to work with data on Google Cloud across the full data lifecycle. It covers data ingestion, transformation, pipeline orchestration, analysis, visualization, and data governance.

This certification is designed for data analysts, data practitioners, and early-career data engineers who work with Google Cloud's data tools including BigQuery, Dataflow, Pub/Sub, Looker, and Cloud Storage.

What's on the exam

The exam consists of 50-60 multiple-choice and multiple-select questions over 2 hours. Questions focus on practical data scenarios including choosing the right storage solution, building data pipelines, writing BigQuery SQL, and implementing data governance policies.

Data Preparation and Ingestion 30%
Data Analysis and Presentation 27%
Data Pipeline Orchestration 18%
Data Management 25%

What to expect

multiple choice
80%
multiple response
20%

Where candidates struggle

This exam bridges the gap between data analysis and data engineering. Candidates with pure analytics backgrounds may struggle with pipeline orchestration topics, while those with engineering backgrounds may underestimate the data governance and compliance sections.

  1. 01
    BigQuery vs Cloud SQL — Not understanding when to use a data warehouse (BigQuery) vs. a relational database (Cloud SQL)
  2. 02
    Pipeline Tools — Confusing Dataflow, Dataproc, and Cloud Composer for different pipeline scenarios
  3. 03
    Data Governance — Overlooking data lineage, cataloging with Dataplex, and access control policies
  4. 04
    Streaming vs Batch — Misunderstanding when to use Pub/Sub + Dataflow streaming vs. batch processing

Exam logistics

Delivered via Pearson VUE online or at testing centers. Available in English and Japanese. Renewal options available within the eligibility period.

Delivery Online-proctored (Pearson VUE) or onsite-proctored at testing centers
Retake policy 14-day wait after a failed attempt. No limit on retakes.
Validity 3 years
Career outcomes Data analyst, data practitioner, junior data engineer, BI analyst, and data governance roles on Google Cloud.
Renewal Certification valid for 3 years. Renewal options available within the renewal eligibility period.
Study time ~60 hours
Official guide View on vendor site

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