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Exam Objectives:
The Google Professional Data Engineer exam is designed to test the skills of individuals who work with data on Google Cloud Platform (GCP). The exam covers a range of topics related to data processing, data analysis, and data visualization. The exam objectives are as follows:
- Designing data processing systems
- Designing data analysis and machine learning models
- Creating and managing data pipelines
- Designing and developing data visualizations
- Managing and monitoring data processing systems
- Ensuring data quality
- Optimizing and troubleshooting data processing systems
The exam consists of both multiple-choice and scenario-based questions. Candidates have 2 hours and 30 minutes to complete the exam.
Exam Details:
The cost of the Google Professional Data Engineer exam is $200 USD. The passing mark is not publicly disclosed by Google, but it is estimated to be around 70%. The exam is delivered online and can be taken from any location with a stable internet connection. The format of the exam is multiple-choice and scenario-based questions.
Related Books:
- Google Cloud Platform for Architects by Vitthal Srinivasan
- Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines by Valliappa Lakshmanan and Jordan Tigani
- Google Cloud Platform in Action by Marko Bonaci and Sean Kane
- Learning Google BigQuery by Thirukkumaran Haridass
To pass the Google Professional Data Engineer exam, it is recommended that candidates have hands-on experience with GCP data tools and technologies, including BigQuery, Dataflow, and Cloud Storage. Additionally, candidates should have a strong understanding of data processing concepts, machine learning algorithms, and data visualization techniques.
Candidates can prepare for the exam by studying the exam objectives and related books, as well as by completing practice exams and labs. Google also offers training courses and certification programs for GCP, which can be useful in preparing for the exam.
In conclusion, passing the Google Professional Data Engineer exam requires a strong understanding of data processing systems, machine learning models, and data visualization techniques on Google Cloud Platform. With the right preparation and experience, candidates can pass the exam and become certified as a Professional Data Engineer on GCP.
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