Google Cloud
Data & AI · Professional
Google Cloud Professional Data Engineer is examined as follows: 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. The areas it covers are Data ingestion and processing, Data warehousing and analytics systems, Data governance and security and Reliability, monitoring and cost. This page sets out what Google Cloud publishes about the exam and what Koshish does not yet have questions for.
Google Cloud publishes the exam content, timing and delivery rules. Restated here without the volatile specifics that change between versions.
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.
Level: Professional certification
Issued by: Google Cloud
These are the areas the certification is examined across, as published by the issuer.
Data ingestion and processing
Data warehousing and analytics systems
Data governance and security
Reliability, monitoring and cost
Stated explicitly so nothing on this page reads as a promise the product cannot keep.
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 above are published now; the bank appears here once it is verified.
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.
Case-study and scenario essay practice, lab environments and hands-on performance exams are outside written-MCQ practice and are not claimed here.
Questions
Not yet. The GCP Data Engineer question bank does not exist today, so we are not advertising practice sessions that would open onto an empty screen. The data & ai syllabus, exam pattern and eligibility are published here now, and the bank will be listed as soon as its questions pass verification.
Google Cloud Professional Data Engineer is examined across these areas: Data ingestion and processing, Data warehousing and analytics systems, Data governance and security and 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. Google Cloud is the authority for the criteria that apply to your attempt.
Credentials renew every two years through a renewal assessment, per Google Cloud's certification policy.