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Preparation Guide for Google Professional Data Engineer Exam
Introduction to Google Professional Data Engineer Exam
Google has established a path for IT professionals endorse as a Data Engineer on the GCP platform. This accreditation program gives Google cloud professionals a way to endorse their skills. The evaluation relies on a meticulous exam using industry standard methodology to conclude whether or not a aspirant meets Google's proficiency standards.
The Professional Data Engineer exam assesses your ability to:
Google Professional Data Engineer Exam certification is evidence of your skills, expertise in those areas in which you like to work. If candidate wants to work on Google Professional Data Engineer and prove his knowledge, Certification offered by Google. This Google Professional Data Engineer Certification helps a candidate to validates his skills in Big Data and Data engineering Technology.
The certified individuals can explore a variety of job opportunities. Some of the positions that they can take up include a Software Engineer, a Cloud Architect, a Data Engineer, a Sales Engineer, a Data Scientist, a Cloud Developer, and a Kubernetes Architect, among others. The salary outlook for these job roles is an average of $128,500 per annum.
Reference: https://cloud.google.com/certification/data-engineer
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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Storing the data (~20% of the exam) | 20% | - Designing for a data platform
|
| Topic 2: Ingesting and processing the data (~20% of the exam) | 20% | - Performing security considerations
|
| Topic 3: Designing data processing systems (~30% of the exam) | 30% | - Selecting appropriate storage technologies
|
| Topic 4: Preparing and using data for analysis (~15% of the exam) | 15% | - Sharing data securely
|
| Topic 5: Maintaining and automating data workloads (~15% of the exam) | 15% | - Automating data processes
|
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