Two practice exams having scenarios related to Data Engineering aspect of GCP which enable you to master Google Professional Data Engineer Certification Exam
Assess yourself for the Google Professional Data Engineer Certification Exam
Ensure that you are fully prepared for the exam
Appear for these exams only when you feel you are ready to take the exam
Topics covered in the exams -
Storage - BigQuery, BigTable, Spanner, Cloud DataStore, Cloud Storage etc.
Processing - DataProc, DataFlow, Spark, Beam etc.
Analysis - BigQuery, Hive etc.
Visualization - DataStudio
Ingestion - Cloud Pub/Sub, Kafka etc.
Modeling - ML APIs, ML Concepts, AI Platform, Accelerator, Troubleshooting etc.
Misc - Dataprep, Data Catalog, Auto Scaling, Stackdriver, IAM etc
Note:
This course is not dump of the actual exam but it is for assessing your preparation before the real exam.
Below are our more courses -
Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka
Big Data For Architects | Build Big Data Pipelines and Compare Key Big Data Technologies
Google Data Engineer Certification Practice Exams
Setup Single Node Cloudera Cluster on Google Cloud
Confluent Certified Operator for Apache Kafka Practice Test
Confluent Certified Developer Apache Kafka Practice Tests
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We have many Google certified instructors who can assist your team in moving forward in Google Cloud implementation in the right way. Please feel free to reach out if there is any virtual instructor led training requirement. Happy to assist.