Amazon Data Engineer Associate DEA-C01 — Study Guide
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This guide covers each DEA-C01 domain in depth. Pick a domain to go deep, or work through them in order.
The domains
- Data Ingestion and Collection — This domain covers the patterns, AWS services, and operational details used to bring raw data into a data platform reliably and at scale. Data
- Data Storage and Lake Architecture — This domain covers how AWS storage services and database engines support large-scale data ingestion, durable archival, query performance, and secure
- Data Cataloging and Metadata Management — This domain covers the metadata layer that makes data discoverable, queryable, and governable across an AWS data platform. Effective cataloging and
- Data Transformation and Processing — This domain covers the AWS services and patterns used to clean, transform, and prepare data for analytics and ML at scale. It focuses on selecting
- Data Orchestration and Workflow Management — Orchestration and workflow management are central to building reliable, maintainable data platforms: they coordinate extract-transform-load jobs,
- Data Query and Analytics — This domain covers designing, tuning, and operating AWS services that support analytical queries and BI on large datasets. It focuses on
- Data Security, Governance, and Compliance — This domain covers the controls, services, and operational patterns that keep data protected, auditable, and compliant while enabling analytics. Data
- Data Pipeline Monitoring and Troubleshooting — Data pipeline monitoring and troubleshooting is critical to ensure timely, accurate delivery of streaming and batch data across AWS. This domain
- Cost Optimization for Data Workloads — Cost optimization for data workloads ensures that storage, compute, and data-processing pipelines deliver value without runaway spend. Data engineers
- Data Quality, Validation, and Observability — This domain covers the end-to-end practices and AWS services used to ensure data correctness, detect anomalies, and keep pipelines reliable. Strong
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