To earn the certification, candidates must pass a 2-hour multiple-choice exam that assesses their knowledge in several areas, including:
- Designing data processing systems
- Building and operationalizing data processing systems
- Data analytics and machine learning
- Cloud architecture and infrastructure
- Security and compliance
To prepare for the Google Professional Data Engineer exam, you can consult the resources below :
Our Guide written by our "Google Professional Data Engineer" Certified Expert
Our writer Sarveswaran had passed successfully his "Google Professional Data Engineer" Exam, and wrote for us a guide on how to prepare for this exam :
Recommended Online Course #1 :
The Google Cloud Professional Data Engineer Course by Dan & James Sullivan incorporates lectures, quizzes, and interactive practical sessions to help you comprehend how to import data, establish data processing pipelines in Cloud Dataflow, set up relational databases, create high-performance Bigtable, BigQuery, and Cloud Spanner databases, retrieve information from Firestore databases, and build a Spark and Hadoop cluster with Cloud Dataproc.
Recommended Online Course #2 :
The GCP - Google Cloud Professional Data Engineer Certification Course by Ankit Mistry offers over 16 hours of exceptional video content and includes 80+ hands-on labs, making it the most practical course available.
The course progresses towards advanced cloud services offered by Google for data engineering solutions, and comprises 12 articles, 6 downloadable resources, and offers full lifetime access after enrollment.