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The Professional Data Engineer exam is the industry-standard exam that proves the candidate’s ability to do data-driven decision-making by assembling, transforming, and publishing data. If you are rooting for a career in data engineering, you should take this test. It will lead you to attain the Professional Data Engineer certification issued by Google.

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What is the duration, language, and format of Google Professional Data Engineer Exam

• Length of Examination: 120 minutes
• Format: Multiple choices, multiple answers
• Passing score: 80%
• Cost: $200
• Language: English (U.S.), Japanese, Spanish, and Portuguese
• Number of Questions: 50-60

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

Google Professional Data Engineer Certified Professional salary

The average salary of a Google Professional Data Engineer Certified Expert in

• United State - 151,247 USD
• England - 115,632 POUND
• India - 25,42,327 INR
• Europe - 135,347 EURO

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:

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