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Exam Details:
The Google Cloud Data Engineer Professional exam is designed for individuals who are experts in designing, building, and managing data processing systems using the Google Cloud Platform. The exam is intended to assess the candidate's skills and knowledge in the following areas: Data engineering, Data analysis, Machine learning, Infrastructure, and Platform. The exam is computer-based and lasts for 2 hours. The cost of the exam is $200 USD, and the passing mark is 70%.
The exam can be taken online, and the format consists of multiple-choice and multiple-select questions. The exam is available in English, Japanese, Spanish, and Portuguese, and can be taken from anywhere in the world. Candidates are advised to have a strong understanding of data engineering principles, data modeling, and data analysis before taking the exam.
Exam Objectives:
The Google Cloud Data Engineer Professional exam tests the candidate's knowledge and skills in the following areas:
- Designing and building data processing systems
- Designing and operationalizing data services
- Designing and building data pipelines
- Designing and implementing data storage systems
- Designing and implementing data security and compliance
- Analyzing data and enabling machine learning
- Designing for reliability, availability, and scalability
- Visualizing data and building dashboards
Related Books:
Here are some books that can help candidates prepare for the Google Cloud Data Engineer Professional exam:
- Google Cloud Certified Professional Data Engineer Study Guide by Dan Sullivan and Elizabeth K. Joseph
- Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale by Valliappa Lakshmanan
- Learning Google BigQuery: A Beginner's Guide to Mining Massive Datasets by Thirukkumaran Haridass
- Mastering Google Cloud Platform: Implement, configure and manage your Google Cloud-based infrastructure with ease by Janaka Ranganath
- Google Cloud Platform for Developers: Build highly scalable cloud solutions with the power of GCP by Ted Hunter
In conclusion, passing the Google Cloud Data Engineer Professional exam requires a deep understanding of data engineering principles, data modeling, and data analysis. Candidates should also be familiar with the Google Cloud Platform and its various services. By using the resources provided, candidates can prepare effectively for the exam and increase their chances of success.
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