How long is the Associate Data Practitioner exam?

The GCP-ADP exam has 55 questions and a 120-minute time limit.

What is the passing score for Associate Data Practitioner?

You need 70% to pass the GCP-ADP exam.

What are common mistakes on the Associate Data Practitioner exam?

Common pitfalls include: BigQuery vs Cloud SQL, Pipeline Tools, Data Governance, Streaming vs Batch. Focus study time on these areas to avoid losing points.

How much does the Associate Data Practitioner exam cost?

The GCP-ADP exam costs $125 USD.

Google Cloud · GCP-ADP · Intermediate

Associate Data Practitioner — Practice Questions and Mock Exam

Practice real GCP-ADP questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.

Start practicing Skeptical? Try 5 questions

55Questions

120minTime Limit

70%Pass Score

Checked against Google Cloud · April 2026Current exam version

Overview

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.

Exam Domains

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 Ingestion30%

Data Analysis and Presentation27%

Data Pipeline Orchestration18%

Data Management25%

SourceGoogle Cloud exam page

Format

What to expect

Multiple Choice80%

Multiple Response20%

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Practice real GCP-ADP questions

Five sample questions from our Associate Data Practitioner bank. Answer one — Alex, your AI tutor, explains the why. Real prep, never dumps.

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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.

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

Details

Exam logistics

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

Exam fee$125 USD

DeliveryOnline-proctored (Pearson VUE) or onsite-proctored at testing centers

Retake policy14-day wait after a failed attempt. No limit on retakes.

Validity3 years

Career outcomesData analyst, data practitioner, junior data engineer, BI analyst, and data governance roles on Google Cloud.

RenewalCertification valid for 3 years. Renewal options available within the renewal eligibility period.

Study time~60 hours

Official guideView on vendor site

SourceGoogle Cloud exam page

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