Google ADP Exam Details & Actual Exam Questions

  • Exam Code/Number: ADP
  • Exam Name/Title: Associate Data Practitioner
  • Certification Provider: Google
  • Corresponding Certification: Google Cloud Certified
  • Exam Questions: 66
  • Updated On: Oct,21 2026
  • Certification Level: Associate

Google Associate Data Practitioner Exam Questions

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Google ADP Exam Overview:

Certification Vendor:Google Cloud
Exam Name:Google Cloud Associate Data Practitioner (ADP)
Exam Number:ADP
Exam Format:Multiple choice, Multiple select
Real Exam Qty:50–60
Certificate Validity Period:3 years
Available Languages:English, Japanese
Exam Price:$125 USD
Passing Score:70%
Exam Duration:120 minutes
Recommended Training:Google Cloud Skills Boost - Data Practitioner Learning Path
Exam Registration:Official Google Cloud Certification Registration
Sample Questions:Google ADP Sample Questions
Exam Way:Online proctored or onsite test center exam
Pre Condition:No formal prerequisites required; recommended ~6 months hands-on experience with Google Cloud data services.
Official Syllabus URL:https://cloud.google.com/learn/certification/data-practitioner

Google ADP Exam Syllabus Topics:

SectionWeightObjectives
Data Preparation and Ingestion30%- Data ingestion into Google Cloud services
  • 1. Streaming ingestion with Pub/Sub concepts
    • 2. Cloud Storage ingestion patterns
      Data Analysis and Presentation27%- Querying and analyzing data
      • 1. Data aggregation and transformation
        • 2. BigQuery SQL usage
          - Data visualization
          • 1. Looker / Looker Studio reporting
            Data Management25%- Storage and data organization
            • 1. Cloud Storage lifecycle policies
              • 2. BigQuery datasets and tables management
                - Data governance and security
                • 1. Data lifecycle management
                  • 2. IAM and access control
                    Data Pipeline Orchestration18%- Pipeline design and automation
                    • 1. Workflow orchestration concepts (e.g., Cloud Composer)
                      • 2. Dataflow pipelines


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