Google Cloud Professional Data Engineer
The Professional Data Engineer exam covers designing data processing systems, ingesting and processing data with Dataflow, Dataproc and Pub/Sub, storing data in BigQuery, Bigtable and Cloud SQL, preparing data for analysis and ML, and maintaining and automating reliable, cost-effective data workloads.
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Start Professional Data Engineer examSkills measured
Designing data processing systems
22%Choosing storage and processing services, schema design, and migration and hybrid designs.
Ingesting and processing the data
25%Batch and streaming pipelines with Dataflow, Dataproc, Pub/Sub, and Data Fusion.
Storing the data
20%BigQuery, Bigtable, Cloud SQL, Spanner, and partitioning, clustering and lifecycle.
Preparing and using data for analysis
15%BigQuery analysis, BI tooling, and BigQuery ML.
Maintaining and automating data workloads
18%Orchestration with Cloud Composer, monitoring, cost control, and reliability.