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What you’ll learn:
-
GPDE Exam #1
-
GPDE Exam #2
-
GPDE Exam #3
Description:
You may master the Google Professional Data Engineer Certification Exam by taking three practice exams with scenarios linked to the GCP’s Data Engineering component.
- Prepare for the Google Professional Data Engineer Certification Exam by doing some research.
- Make sure you are completely ready for the test.
- Only show up for these exams when you feel prepared to take them.
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 for evaluating your readiness for the actual exam, not for serving as a dump for that 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
What can a data engineer certification do for you? Data engineers are always in demand, and certified ones are among the highest-paid certified specialists. Data engineers are skilled in a wide range of areas, including the design of systems that can ingest massive volumes of data, cost-effectively store data, and effectively process and analyze data using technologies like machine learning and reporting. You can demonstrate that you have the know-how and abilities to create, optimize, and monitor high-performance data engineering systems by earning a Google Cloud Professional Data Engineer certification.
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Who this course is for:
- Google Professional Data Engineer Exam candidates
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