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Google Professional-Data-Engineer Exam
Google Cloud Data Engineer Professional
Last Updated: Jul 1, 2024
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331 Questions and Answers for the Google Professional-Data-Engineer exam
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Google Cloud Data Engineer Professional Syllabus
- Designing data processing systems: It delves into designing for security and compliance, reliability and fidelity, flexibility and portability, and data migrations.
- Ingesting and processing the data: The topic discusses planning of the data pipelines, building the pipelines, acquisition and import of data, and deploying and operationalizing the pipelines.
- Storing the data: This topic explains how to select storage systems and how to plan using a data warehouse. Additionally, it discusses how to design for a data mesh.
- Preparing and using data for analysis: Questions about data for visualization, data sharing, and assessment of data may appear.
- Maintaining and automating data workloads: It discusses optimizing resources, automation and repeatability design, and organization of workloads as per business requirements. Lastly, the topic explains monitoring and troubleshooting processes and maintaining awareness of failures.