Google Professional-Data-Engineer exam is a challenging and comprehensive test that requires a deep understanding of data engineering concepts and technologies. Candidates need to be familiar with a range of tools and platforms, including Google Cloud Platform, Hadoop, Spark, and SQL. Passing the exam demonstrates to employers and peers that the candidate has the knowledge and skills to design and build complex data processing systems that can handle large volumes of data and meet the specific needs of their organization.

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This course will show you how to manage big data including loading, extracting, cleaning, and validating data. At the end of the training, you can easily create machine learning and statistical models as well as visualizing query results. This program is a bit lengthy but you have to practice well to get the knowledge needed on the actual exam. These are the following modules covered in the course:

• Bigtable Streaming Features and High-Throughput BigQuery
• Serverless Messaging Using Cloud Sub/Pub
• Production ML Pipelines and use of Kubeflow
• Custom Model building Using SQL in BigQuery ML
• Introduction to Data Engineering
• Building a Data Warehouse
• Handling Data Pipelines with Cloud Composer and Cloud Data Fusion
• Cloud Dataflow Streaming Features
• Introduction to Processing Streaming Data
• Serverless Data Processing with Cloud Dataflow
• Creating a Data Lake
• Performing Spark on Cloud Dataproc
• Introduction to Building Batch Data Pipelines
• Custom Model building Utilizing Cloud AutoML
• Advanced BigQuery Performance and Functionality
• Big Data Analytics with Cloud Al Platform Notebook
• Prebuilt ML Models APIs for Unsaturated Data

These modules involve everything the candidate requires for passing the Professional Data Engineer certification exam. Thus, you will not miss anything if you are taking this learning program keenly and apply the required knowledge in an appropriate way. You would end up getting a good score and achieving the Google Professional Data Engineer certification.

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Google Professional-Data-Engineer exam is designed to test an individual's knowledge and expertise in the field of data engineering. It is a certification offered by Google that recognizes professionals who have demonstrated their ability to design, build, and maintain data processing systems on the Google Cloud Platform. Professional-Data-Engineer-JPN exam covers a wide range of topics, including data ingestion and processing, storage and data analysis, machine learning and data visualization.

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Achieving the Google Professional-Data-Engineer certification is an excellent way for data professionals to demonstrate their expertise and advance their careers. Google Certified Professional Data Engineer Exam (Professional-Data-Engineer日本語版) certification is highly valued by employers and can lead to new job opportunities and higher salaries. Moreover, it provides individuals with the skills and knowledge they need to design, build, and maintain data processing systems that are reliable, scalable, and secure.

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