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Professional Data Engineer Exam Details

Like other Google exams, this exam also consists of multiple choice and multiple select questions. Consider the fact that you need to pay $200 for the registration. After that, you will access the test for 2 hours which is presented either in English or Japanese. Moreover, you can either take the exam online or have to find a test center near your place to take this test.

There is no formal prerequisite for the exam but it is recommended to have 3-4 years of experience within the data engineering field and to be responsible for the tasks related to data engineering and machine learning. So, on the final test day, you need to have exhaustive knowledge about these domains to perform your best.

• Providing solution quality
• Operationalizing machine learning models
• Designing data processing systems
• Building data processing systems

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

Understanding functional and technical aspects of Google Professional Data Engineer Exam Designing data processing systems

The following will be discussed here:

• Data modeling
• System availability and fault tolerance
• Capacity planning
• Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions)
• Data publishing and visualization (e.g., BigQuery)
• Designing data pipelines
• Online (interactive) vs. batch predictions
• Hybrid cloud and edge computing
• Choice of infrastructure
• Tradeoffs involving latency, throughput, transactions
• Designing data processing systems
• Selecting the appropriate storage technologies
• Job automation and orchestration (e.g., Cloud Composer)
• Distributed systems
• At least once, in-order, and exactly once, etc., event processing
• Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka)
• Mapping storage systems to business requirements
• Use of distributed systems
• Schema design

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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
• India - 25,42,327 INR
• England - 115,632 POUND

Exam Topics

The syllabus of the Google Professional Data Engineer exam is divided into 4 topics, each covering specific knowledge and skills that the candidates need to develop while preparing for the test. A full outline of the exam content can be viewed on the official website. The highlights of the domains covered in the test are as follows:

Topic 1. Designing Data Processing Systems

To answer the questions related to this first topic of the certification exam, the individuals need to demonstrate their proficiency in selecting the proper storage technologies. This includes their understanding of data modeling, schema design, distributed systems, as well as tradeoffs involving throughput, latency, and transactions. Moreover, the applicants need to have the ability to map storage systems to the business needs. It also measures one’s skills in designing data pipelines, designing a data processing solution, as well as migrating data warehousing & data processing.