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Data Engineering on Google Cloud course

It is a 4-day course that gives hands-on experience to the candidates and allows them to build data processing systems on Google Cloud. It will also show you how to design data processing systems, analyze data and build end-to-end data pipelines and machine learning. In order to get a better understanding of the course, you need to complete the big data machine learning course or get equivalent experience. This course also aids you in developing applications using a programming language such as Python and covers the following objective:

• Enable insights from streaming data
• Predicting machine models using TensorFlow and Cloud ML
• Processing batch and streaming data by using autoscaling data pipelines on Cloud Dataflow
• Influencing unstructured data using ML APIs on Cloud Dataproc
• Designing and building data processing systems on the Google Cloud Platform

Reference: https://cloud.google.com/certification/data-engineer

What is the duration, language, and format of Google Professional Data Engineer Exam

• Format: Multiple choices, multiple answers
• Passing score: 80%
• Number of Questions: 50-60
• Cost: $200
• Length of Examination: 120 minutes
• Language: English (U.S.), Japanese, Spanish, and Portuguese

Exam Overview

The Professional Data Engineer certification exam is a 2-hour test consisting of the multiple-choice and multiple-select questions. The students can take it in the English or Japanese languages. To register for and schedule the exam, you must pay the fee of $200. It is possible to sit for this test in an online proctored format at a remote location. You can also take it as an on-site proctored exam at a designated testing center.

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Google Professional Data Engineer Certified Professional salary

The average salary of a Google Professional Data Engineer Certified Expert in

• Europe - 135,347 EURO
• United State - 151,247 USD
• England - 115,632 POUND
• India - 25,42,327 INR

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