Google Cloud
Data & AI · Professional
The Google Cloud Professional Data Engineer credential is for people who build data platforms: ingesting batch and streaming data, designing warehouses and lakehouse layouts, and keeping pipelines reliable and cost-aware. It is the data counterpart to the GCP architecture credential.
प्रमाणपत्र
Data ingestion and processing
Data warehousing and analytics systems
Data governance and security
Reliability, monitoring and cost
A proctored exam with scenario-based multiple-choice and multi-select items covering the professional data engineer blueprint, including designing data processing and data warehouse systems.
Google Cloud publishes no formal prerequisites for this exam; it recommends relevant experience before attempting it.
Subject- and topic-filtered practice across the Data & AI domains this certification covers
A daily plan that blends new practice with FSRS spaced revision of what you have already attempted
Per-topic ability estimates (IRT theta and BKT mastery) that surface your weakest domains first
A rationale on every attempt, reactive to the specific mistake you made
अभी सत्यापित प्रश्न-बैंक नहीं है
No verified GCP Data Engineer question bank exists yet, so no practice sessions or mock exams are published for this certification. The syllabus and exam information here are published now; the bank is listed as soon as its questions pass verification.
Google Cloud sets the exam content, timing and policy. Those details are restated from the issuer's published material and can change between versions — treat the issuer's own page as the authority for your attempt.
प्रमाणपत्र
PMP
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PMI-ACP
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PRINCE2 Practitioner
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PMI-RMP
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AWS SAA
AWS Certified Solutions Architect – Associate
AWS SAP
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Azure AZ-104
Microsoft Certified: Azure Administrator Associate (AZ-104)
Azure AZ-305
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
प्रश्न
Not yet. No verified GCP Data Engineer question bank exists today, so no practice session is advertised — an empty screen is worse than an honest wait. The syllabus, exam pattern and eligibility are published here now, and the bank is listed as soon as it is verified.
Google Cloud Professional Data Engineer is examined across these areas: Data ingestion and processing; Data warehousing and analytics systems; Data governance and security; Reliability, monitoring and cost. A proctored exam with scenario-based multiple-choice and multi-select items covering the professional data engineer blueprint, including designing data processing and data warehouse systems.
Google Cloud sets it, and it changes between policy versions. Google Cloud publishes no formal prerequisites for this exam; it recommends relevant experience before attempting it.