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

The following will be discussed here:

• Storage costs and performance
• Provisioning resources
• Validating a migration
• Awareness of current state and how to migrate a design to a future state
• Transformation
• Building and operationalizing storage systems
• Batch and streaming
• Testing and quality control
• Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking)
• Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore)
• Integrating with new data sources
• Building and operationalizing processing infrastructure
• Monitoring pipelines
• Data cleansing
• Adjusting pipelines
• Lifecycle management of data
• Data acquisition and import
• Building and operationalizing data processing systems
• Building and operationalizing pipelines

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

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.