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Google Professional Data Engineer Practice Test Questions, Google Professional Data Engineer Exam Practice Test Questions

The Google Professional Data Engineer certification is designed to evaluate the candidates’ skills in designing data processing systems and ensuring solution quality. It is also created to measure their competence in building and operationalizing data processing systems and operationalizing ML models. The potential applicants must complete a single exam to get certified.

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:

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

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.

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

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