Last Updated: Jul 26, 2026
No. of Questions: 433 Questions & Answers with Testing Engine
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Training courses are meant to help candidates to learn about the Google exam syllabus and prepare well. It has hands-on labs and expert support that will allow you to get in-depth knowledge of each domain covered in the test. So, these are some of the best training courses offered by Google for the Professional Data Engineer certification exam.
The following will be discussed here:
The candidates for this certification are the data engineers or those aiming to become one. These individuals should have the capacity to allow data-driven decision-making through the collection, transformation, and publishing of data. They have the expertise in designing, building, and operationalizing secure data processing systems and monitoring the same. This is with the specific emphasis on compliance and security, fidelity and reliability, portability and flexibility, as well as efficiency and scalability.
Reference: https://cloud.google.com/certification/data-engineer
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Designing data processing systems (~30% of the exam) | 30% | - Designing data pipelines
|
| Topic 2: Storing the data (~20% of the exam) | 20% | - Using a data lake
|
| Topic 3: Preparing and using data for analysis (~15% of the exam) | 15% | - Preparing data for visualization
|
| Topic 4: Maintaining and automating data workloads (~15% of the exam) | 15% | - Designing for reliability and fidelity
|
| Topic 5: Ingesting and processing the data (~20% of the exam) | 20% | - Building and maintaining data structures and databases
|
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