AWS Certified Data Engineer - Associate

The AWS Certified Data Engineer – Associate (DEA-C01) validates expertise in ingesting, transforming, orchestrating, and securing data pipelines on AWS. Introduced as a dedicated associate-level data certification, it covers the full lifecycle of data engineering: from designing scalable ingestion pipelines and building transformation workflows to monitoring pipeline health and enforcing data governance. It is the go-to credential for professionals who build and maintain data infrastructure on AWS.

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What is the AWS Certified Data Engineer - Associate (DEA-C01)?

Who Should Take This Course?

Data engineers building pipelines on AWS services
ETL/ELT developers working with AWS Glue and data lakes
Analytics engineers designing data warehouse solutions on Amazon Redshift
Backend engineers expanding into data platform roles
Cloud engineers responsible for data infrastructure and governance
Professionals preparing to pursue AWS Data Analytics or Machine Learning specialties

What You Will Learn in the DEA-C01 Course

A comprehensive curriculum covering all exam objectives with hands-on labs and real-world practice.

Data Ingestion and Transformation

Design and implement data ingestion pipelines and transformation workflows on AWS.

Amazon Kinesis Data Streams and Kinesis Data Firehose for real-time ingestion
AWS Glue ETL jobs, crawlers, and the Glue Data Catalog
Amazon EMR for large-scale distributed data processing
AWS DMS for database migration and replication
AWS AppFlow for SaaS-to-AWS data integration

Data Store Management

Select and manage the right data storage solution for various workloads.

Amazon S3 data lake design, partitioning, and lifecycle policies
Amazon Redshift architecture, distribution styles, and Spectrum
Amazon DynamoDB for high-throughput NoSQL workloads
Amazon RDS and Aurora for relational database use cases
AWS Lake Formation for centralized data lake governance

Data Pipeline Orchestration

Orchestrate multi-step data workflows using AWS-native tools.

AWS Step Functions for serverless workflow orchestration
Amazon MWAA (Managed Apache Airflow) for DAG-based pipelines
AWS Glue Workflows for multi-job ETL orchestration
EventBridge Scheduler for time-based pipeline triggers
Error handling, retry logic, and dead-letter queues

Data Security and Governance

Apply security controls and governance policies across data platforms.

IAM roles and policies for least-privilege data access
AWS Lake Formation column-level and row-level security
Encryption at rest (KMS) and in transit (TLS) for data services
AWS Macie for sensitive data discovery in S3
AWS Glue Data Quality for automated data validation

Data Monitoring and Optimization

Monitor pipeline performance and optimize cost and efficiency.

Amazon CloudWatch metrics, alarms, and Logs Insights for pipeline monitoring
AWS Glue job metrics and Spark UI for performance tuning
Amazon Redshift Query Performance Insights and WLM
Cost optimization with S3 Intelligent-Tiering and Redshift pause/resume
Athena query optimization with partitioning and columnar formats (Parquet, ORC)

Course Prerequisites

Pre-requisites training is free when you purchase the course from ProSupport

1–2 years of hands-on experience with AWS data services
Familiarity with SQL and at least one scripting language (Python, Spark)
Basic understanding of cloud computing concepts (AWS Cloud Practitioner level)
Experience with data warehousing, data lake, or ETL concepts

Exam Information

Everything you need to know about the DEA-C01 certification exam.

Exam Component	Details
Exam Name	AWS Certified Data Engineer - Associate
Exam Code	DEA-C01
Exam Type	Multiple Choice and Multiple Response
Total Questions	65
Passing Score	720 (out of 1000)
Exam Duration	130 minutes
Language	English, Japanese, Korean, Simplified Chinese
Exam Provider	AWS / Pearson VUE
Exam Focus	Data ingestion, transformation, orchestration, storage, security, and monitoring on AWS
Exam Registration	Register via aws.amazon.com/certification or Pearson VUE testing centers globally
Retake Policy	14 days wait after first failure; 90 days after second and subsequent failures
Certification Validity	3 years (renewable via recertification exam)