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The Google Professional-Data-Engineer-JPN exam tests the candidate's proficiency in working with various data processing tools, including Google Cloud Platform technologies such as BigQuery, Dataflow, and Cloud Storage. Professional-Data-Engineer-JPN exam also covers topics such as data modeling, data ingestion, data transformation, and data analysis. Additionally, the exam tests the candidate's understanding of best practices for data engineering, including performance optimization, security, and compliance.

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

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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:

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

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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