Professional Data Engineer
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Detailed Exam Outline
Designing data processing systems
22% WeightDesign for data pipelines, storage systems (BigQuery, Bigtable), and choosing between batch or streaming.
Ingesting and processing data
25% WeightBuild and operationalize data pipelines using Dataflow, Dataproc, and Pub/Sub; handle data cleansing and transformation.
Storing and querying data
20% WeightOptimizing BigQuery performance, managing database schemas, and selecting appropriate storage classes.
Operationalizing machine learning models
15% WeightIntegrate ML models into data pipelines using Vertex AI; manage training, deployment, and monitoring of models.
Ensuring solution quality
18% WeightDesign for data security, privacy, and compliance; manage data monitoring and troubleshoot data processes.
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