Google GOOGLE-PRODATAENG Exam
Google Certification Practice Exam
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86%
Students found the real exam almost same
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1319
Students passed this exam after AcingExam Prep
speed
91.3%
Average score during Real Exams at the Testing Centre
Google GOOGLE-PRODATAENG 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
750 / 100
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Format
Multiple choice & multiple response
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Google GOOGLE-PRODATAENG Certification FAQ
The Google Cloud Certified Professional Data Engineer certification validates an individual's ability to design, build, operationalize, secure, and monitor data processing systems on Google Cloud Platform. It demonstrates expertise in data ingestion, transformation, storage, analysis, and leverages Google Cloud technologies to enable data-driven decision making and machine learning solutions.
This exam is ideal for data engineers, data scientists, data architects, and professionals who want to demonstrate their expertise in designing and building data processing systems using Google Cloud technologies. Candidates should have practical experience with data modeling, machine learning concepts, data pipelines, and data solution architecture on the Google Cloud Platform.
The average salary for a Google Cloud Certified Professional Data Engineer typically ranges from $130,000 to $175,000 per year globally. This can vary significantly based on factors such as location, years of experience, specific job responsibilities, and the size and type of the employing company.
The Google Cloud Certified Professional Data Engineer certification is valid for two years from the date of achievement. To maintain an active certification status, certified individuals must retake the exam before their certification expires. Google Cloud certifications do not have continuing education requirements; renewal is solely based on passing the current version of the exam.
The Google Cloud Certified Professional Data Engineer certification has been a cornerstone of the Google Cloud certification program for several years. Google Cloud certifications are continuously updated to reflect the latest platform features, services, and best practices. Therefore, rather than fixed 'version' releases, the exam content is regularly reviewed and updated to ensure its relevance and accuracy with current Google Cloud technologies.
The exam curriculum covers a wide range of technical topics and domain knowledge, including:
- Designing data processing systems (e.g., batch, streaming, lambda architecture)
- Building and operationalizing data processing systems (e.g., using Dataflow, Dataproc, BigQuery, Pub/Sub, Cloud Storage)
- Ensuring solution quality (e.g., monitoring, logging, testing, security, compliance, performance optimization)
- Working with machine learning models (e.g., using AI Platform, BigQuery ML)
- Managing data governance, security, and privacy (e.g., IAM, Cloud DLP, encryption)
- Transforming data and optimizing data workloads.