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Start guided practiceGoogle Professional Data Engineer
Designing and operating data systems on Google Cloud: processing system design, ingestion and transformation, storage selection, analysis enablement and workload automation.
Google Cloud does not publish numeric exam codes — PDE is the common abbreviation.
Google Professional Data Engineer is Google Cloud's professional-level data & analytics certification, referred to across the industry by the shorthand PDE. The exam runs for 2 hours and presents up to 55 questions, with a pass mark of not published by Google. It costs US$200 at the standard rate.
The published exam guide lists 5 sections but does not assign public weightings, so plan to cover each in similar depth rather than betting on one being dominant.
Confirm these details on the official Google Cloud page before booking — vendors adjust format and pricing without notice.
Some forms include unscored trial questions
Standard rate, before local taxes
The published exam guide for PDE, in the vendor's own order.
01Designing data processing systems
02Ingesting and processing the data
03Storing the data
04Preparing and using data for analysis
05Maintaining and automating data workloads
Three or more years of experience including at least one year designing on Google Cloud.
Professional level — Advanced credentials covering design, scale and trade-off decisions.
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Clear answers about the exam, the study experience, and what to expect before you begin.
Google Cloud lists up to 55 questions, to be completed in 2 hours. Question counts can vary slightly between exam forms, and unscored trial questions are sometimes included.
Not published by Google. Confirm the current figure on the official exam page before booking, as vendors adjust cut scores when an exam form is refreshed.
The standard price is US$200. Local pricing, taxes and any retake policy vary by region, so check the official page for the figure that applies to you.
Three or more years of experience including at least one year designing on Google Cloud.
The exam guide covers Designing data processing systems, Ingesting and processing the data, Storing the data, Preparing and using data for analysis and Maintaining and automating data workloads. The full weighted breakdown is listed above.
Yes — this exam has 340 practice questions available here, each with the correct answer marked.