GCP Data Engineer

The standard exam is 2 hours long with a registration fee of $200 plus tax where applicable, per Google Cloud. It is offered in English and Japanese. A separate, shorter renewal exam exists for candidates who already hold an active certification and are within the renewal eligibility period.

The format is 40-50 multiple choice and multiple select questions. Multiple select items require you to pick every correct option, so read each stem for how many answers are expected. Google Cloud publishes sample questions that show the format and the kind of content covered.

There are no prerequisites. Google Cloud recommends 3+ years of industry experience, including 1+ years designing and managing solutions using Google Cloud. If you are newer to cloud data engineering, budget extra time for the learning path and hands-on labs before scheduling.

Validity is 2 years. If your certification is active and you are within the renewal eligibility period, you can renew by taking the standard exam, a shorter 1-hour renewal exam ($100 plus tax, 20 questions), or by completing designated courses and/or skill badges in Google Skills within the last year of the active date.

The passing score is not stated on the certification page, so treat any specific number you see elsewhere with caution. Focus on broad coverage of all five assessed areas rather than on a target percentage, and use the official exam guide to confirm which topics are in scope.

Retake rules and waiting periods are not published on the certification page. Google Cloud directs candidates to review the exam terms and conditions and data sharing policies before registering, so check those documents for the current retake policy before you schedule a second attempt.

Google Cloud lists two delivery methods: an online-proctored exam taken from a remote location, or an onsite-proctored exam at a testing center (search for Google Cloud when booking). Both cover the same content, so choose based on your environment and connectivity.

Five areas are assessed: designing data processing systems; ingesting and processing the data; storing the data; preparing and using data for analysis; and maintaining and automating data workloads. Google Cloud does not publish per-domain percentage weights on this page, so plan for even coverage across all five.

Start with the exam guide to map topics to your current skills, then work through the Data Engineer Learning Path, online training, in-person classes, and hands-on labs. Finish with sample questions to get familiar with the format and to expose gaps before you register.

Google Cloud notes that the exam will soon be updated to reflect recent branding changes and advises referring to the exam guide to review the product names used on the exam. Study the services as named in the current exam guide so you recognize them on question stems.