Google GCP-PDE Exam
Google Certification Practice Exam
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84%
Students found the real exam almost same
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1630
Students passed this exam after AcingExam Prep
speed
93.9%
Average score during Real Exams at the Testing Centre
Google GCP-PDE Exam Overview
Master the core exam objectives and accelerate your preparation with our comprehensive exam blueprint.
schedule
Duration
120 Minutes
quiz
Questions
~50-60
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Passing Score
720 / 100
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Format
Multiple choice & multiple response
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Google GCP-PDE Certification FAQ
The Google Cloud Professional Data Engineer certification validates a candidate's expertise in designing, building, operationalizing, securing, and monitoring data processing systems on Google Cloud. A Professional Data Engineer enables data-driven decision-making by collecting, transforming, and publishing data with a focus on security, compliance, reliability, and fidelity.
This exam is ideal for data professionals who design and build data processing systems, analyze data, and create machine learning models on Google Cloud. This includes roles such as Data Engineers, Data Architects, Data Scientists, and Machine Learning Engineers with at least 3+ years of industry experience, including 1+ year designing and managing solutions using Google Cloud.
The average salary for a Google Cloud Professional Data Engineer typically ranges from $120,000 to $180,000 USD per year globally. This can vary significantly based on factors such as geographical location, years of experience, specific industry, company size, and additional skills. Experienced professionals in high-demand markets may command salaries at the higher end of this spectrum.
The Google Cloud Professional Data Engineer certification is valid for two years from the date of certification. To maintain certification, individuals must re-take and pass the exam before their certification expires. There is no continuing education or alternative renewal path; re-examination is required every two years.
The Google Cloud Professional Data Engineer certification was one of the foundational professional-level exams introduced by Google. While specific release dates for initial versions vary, Google Cloud certifications, including the Professional Data Engineer exam, are regularly reviewed and updated to reflect changes in Google Cloud technologies, services, and best practices. There isn't a fixed 'next version' release schedule; rather, the exam content is continuously maintained to remain current and relevant.
The exam covers a broad range of technical topics and domain knowledge, including:
- Designing data processing systems (batch/streaming, data lake/warehouse/mart).
- Building and operationalizing data processing systems (Dataflow, Dataproc, Pub/Sub, BigQuery, Bigtable, Cloud Storage).
- Ensuring solution quality (monitoring, logging, testing, error handling).
- Operationalizing machine learning models (Vertex AI, ML pipelines).
- Managing data governance, security, and compliance.
- Designing for reliability, scalability, and cost optimization.