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Target Audience

The candidates for this certification are the data engineers or those aiming to become one. These individuals should have the capacity to allow data-driven decision-making through the collection, transformation, and publishing of data. They have the expertise in designing, building, and operationalizing secure data processing systems and monitoring the same. This is with the specific emphasis on compliance and security, fidelity and reliability, portability and flexibility, as well as efficiency and scalability.

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

The following will be discussed here:

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

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

Prerequisites

There are no formal requirements that the candidates need to meet to qualify for the Google Professional Data Engineer certification. However, without some level of professional experience, it will be difficult for the students to ace the qualifying test. The target individuals are recommended to have three or more years of industry experience, including one or more years of experience in designing and managing solutions with the help of Google Cloud Platform. It is preferable that the applicants also possess some basic database knowledge.

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Training Courses Recommended for the Exam Preparation

Training courses are meant to help candidates to learn about the Google exam syllabus and prepare well. It has hands-on labs and expert support that will allow you to get in-depth knowledge of each domain covered in the test. So, these are some of the best training courses offered by Google for the Professional Data Engineer certification exam.

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