Google Professional Data Engineer Practice Exams – JULY 2022

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 –

1. Big Data Crash Course | Learn Hadoop, Spark, NiFi and Kafka
2. Big Data For Architects | Build Big Data Pipelines and Compare Key Big Data Technologies
3. Google Data Engineer Certification Practice Exams
4. 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.