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Updated: Sep 15, 2026
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How to Prepare For Google Professional Data Engineer Exam
Preparation Guide for Google Professional Data Engineer Exam
Introduction to Google Professional Data Engineer Exam
Google has established a path for IT professionals endorse as a Data Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using industry standard methodology to conclude whether or not a aspirant meets Google's proficiency standards.
The Professional Data Engineer exam assesses your ability to:
- Design data processing systems
- Build and operationalize data processing systems
- Operationalize machine learning models
- Ensure solution quality
Google Professional Data Engineer Exam certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work on Google Professional Data Engineer and prove his knowledge, Certification offered by Google. This Google Professional Data Engineer Certification helps a candidate to validates his skills in Big Data and Data engineering Technology.
Google Cloud Big Data & Machine Learning Fundamentals course
This course is a gateway to introduce you to Google Cloud's big data and different machine learning functions. However, to successfully pass this training, you have to attain one year of experience in SQL, extract transform, data modeling, machine learning, programming in Python, and load activities. So, the objectives of the course are the following:
- Hire BigQuery and Cloud SQL for interactive data analysis
- Utilize Cloud SQL & Dataproc to migrate existing MySQL, Pig, Spark, or Hive workloads to Google Cloud
- Recognize the purpose of the key Big data and Machine Learning products in Google Cloud
- Create ML models using BigQuery ML, APIs, and AutoML.
Reference: https://cloud.google.com/certification/data-engineer
Google Professional-Data-Engineer日本語 Exam Overview:
| Certification Vendor: | Google Cloud |
|---|---|
| Exam Name: | Google Cloud Certified Professional Data Engineer Exam |
| Exam Number: | Professional Data Engineer |
| Certificate Validity Period: | 2 years |
| Exam Format: | case study, multiple select, multiple choice |
| Available Languages: | Spanish, German, Portuguese, Japanese, French, English |
| Related Certifications: | Google Cloud Certified - Professional Data Analytics Engineer Google Cloud Certified - Professional Cloud Architect Google Cloud Certified - Professional Machine Learning Engineer Google Cloud Certified - Associate Cloud Engineer |
| Passing Score: | Not publicly disclosed (scaled scoring system) |
| Real Exam Qty: | Approximately 50–60 multiple choice and multiple select questions |
| Exam Price: | $200 USD |
| Exam Duration: | 120 minutes |
| Recommended Training: | Google Cloud Professional Data Engineer Course (Coursera) Google Cloud Data Engineering Learning Path |
| Exam Registration: | Google Cloud Certification Registration |
| Sample Questions: | Google Professional-Data-Engineer日本語 Sample Questions |
| Exam Way: | Online proctored exam or onsite test center (Kryterion Webassessor) |
| Pre Condition: | No formal prerequisites required; recommended experience with data processing and Google Cloud Platform services |
| Official Syllabus URL: | https://cloud.google.com/learn/certification/data-engineer |
Google Professional-Data-Engineer日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing data processing systems | 22% | - Data architecture and storage design
|
| Topic 2: Ensuring solution quality | 28% | - Reliability and performance
|
| Topic 3: Building and operationalizing data processing systems | 24% | - Data processing and transformation
|
| Topic 4: Operationalizing machine learning models | 26% | - ML pipeline integration
|
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