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How to book Google Professional Data Engineer Exams
The registration for the Google Professional Data Engineer Exam follows the steps given below.
- Step1: Visit the Google Cloud Webassessor Website
- Step2: Sign in or sign up to your Google Cloud Webassessor account
- Step3: Search for the exam name Google Professional Data Engineer
- Step4: Take the date of the exam, choose exam center and make further payment using payment method like credit/debit etc.
Reference: https://cloud.google.com/certification/data-engineer
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Google Cloud Big Data & Machine Learning Fundamentals course
This course is a gateway to introduce you to Google Cloud's big data and different machine learning functions. However, to successfully pass this training, you have to attain one year of experience in SQL, extract transform, data modeling, machine learning, programming in Python, and load activities. So, the objectives of the course are the following:
- Hire BigQuery and Cloud SQL for interactive data analysis
- Recognize the purpose of the key Big data and Machine Learning products in Google Cloud
- Create ML models using BigQuery ML, APIs, and AutoML.
- Utilize Cloud SQL & Dataproc to migrate existing MySQL, Pig, Spark, or Hive workloads to Google Cloud
How to Prepare For Google Professional Data Engineer Exam
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:
- Design data processing systems
- Ensure solution quality
- Operationalize machine learning models
- Build and operationalize data processing systems
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.
Google Professional-Data-Engineer Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Maintaining and automating data workloads | 18% | - Resource optimization
|
| Building and operationalizing data processing systems | 25% | - Deploying and managing systems
|
| Operationalizing machine learning models | 20% | - Deploying and maintaining ML models
|
| Ensuring solution quality and reliability | 17% | - Testing and validating data systems
|
| Designing data processing systems | 20% | - Designing for business requirements
|
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