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AWS Data Engineer Associate Study Guide

Domain-by-domain study guide for AWS Certified Data Engineer - Associate (DEA-C01). Covers all 4 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

130 min

Questions

Exam Code

DEA-C01

Domains

Quick Navigation

Jump to a specific exam domain

1. Data Ingestion and Transformation (34%)
2. Data Store Management (26%)
3. Data Operations and Support (22%)
4. Data Security and Governance (18%)

Domain 1

34%

Data Ingestion and Transformation

Design and implement data ingestion and transformation pipelines on AWS

Topics to Master

Amazon Kinesis Data Streams and Kinesis Data Firehose
AWS Glue ETL jobs and crawlers
AWS Database Migration Service (DMS)
Amazon MSK (Managed Streaming for Apache Kafka)
AWS Lambda for event-driven data processing
Amazon EMR for large-scale data processing
AWS Step Functions for pipeline orchestration
Amazon MWAA (Managed Workflows for Apache Airflow)
Data transformation patterns (batch vs streaming)
AWS Glue Data Quality and DQDL

Domain 2

26%

Data Store Management

Select and manage appropriate data stores for analytics workloads

Topics to Master

Amazon S3 data lake architecture and storage classes
Amazon Redshift data warehousing and optimization
Amazon DynamoDB for NoSQL data storage
AWS Lake Formation permissions and governance
Amazon RDS and Aurora for relational data
Amazon OpenSearch Service for search and analytics
Amazon ElastiCache for caching patterns
AWS Glue Data Catalog as metadata store
Amazon Athena for serverless query
Data partitioning and file format selection (Parquet, ORC)

Domain 3

22%

Data Operations and Support

Maintain and monitor data pipelines and analytics workloads

Topics to Master

Amazon CloudWatch metrics, logs, and alarms for data pipelines
AWS Glue job monitoring and error handling
Amazon Redshift performance tuning (DISTKEY, SORTKEY, WLM)
AWS Data Exchange for third-party data
Troubleshooting pipeline failures and data quality issues
Cost optimization for data workloads
S3 lifecycle policies and Intelligent-Tiering
EMR cluster optimization and auto-scaling
Redshift Serverless vs provisioned trade-offs
EventBridge for data pipeline event routing

Domain 4

18%

Data Security and Governance

Implement data security, privacy, and governance controls

Topics to Master

AWS KMS encryption for data at rest and in transit
AWS Lake Formation column-level and row-level security
S3 bucket policies, ACLs, and encryption
AWS IAM roles and policies for data access
Amazon Macie for sensitive data discovery
AWS Glue DataBrew for data masking and PII
VPC endpoints for private data access
CloudTrail for data access auditing
Data lifecycle management and retention policies
GDPR and compliance controls in AWS

Continue Your Prep

Free CertStud resources for DEA-C01

Study Notes Exam Study Plan Start Practice Test

Back to AWS Data Engineer Associate

AWS Data Engineer Associate Study Guide

Domain-by-domain study guide for AWS Certified Data Engineer - Associate (DEA-C01). Covers all 4 exam objectives with topic checklists, quick notes, and practice links.

Download PDF Notes

Exam Overview

Key facts before you start studying

Duration

130 min

Questions

Exam Code

DEA-C01

Domains

Quick Navigation

Jump to a specific exam domain

1. Data Ingestion and Transformation (34%)
2. Data Store Management (26%)
3. Data Operations and Support (22%)
4. Data Security and Governance (18%)

Domain 1

34%

Data Ingestion and Transformation

Design and implement data ingestion and transformation pipelines on AWS

Topics to Master

Amazon Kinesis Data Streams and Kinesis Data Firehose
AWS Glue ETL jobs and crawlers
AWS Database Migration Service (DMS)
Amazon MSK (Managed Streaming for Apache Kafka)
AWS Lambda for event-driven data processing
Amazon EMR for large-scale data processing
AWS Step Functions for pipeline orchestration
Amazon MWAA (Managed Workflows for Apache Airflow)
Data transformation patterns (batch vs streaming)
AWS Glue Data Quality and DQDL

Domain 2

26%

Data Store Management

Select and manage appropriate data stores for analytics workloads

Topics to Master

Amazon S3 data lake architecture and storage classes
Amazon Redshift data warehousing and optimization
Amazon DynamoDB for NoSQL data storage
AWS Lake Formation permissions and governance
Amazon RDS and Aurora for relational data
Amazon OpenSearch Service for search and analytics
Amazon ElastiCache for caching patterns
AWS Glue Data Catalog as metadata store
Amazon Athena for serverless query
Data partitioning and file format selection (Parquet, ORC)

Domain 3

22%

Data Operations and Support

Maintain and monitor data pipelines and analytics workloads

Topics to Master

Amazon CloudWatch metrics, logs, and alarms for data pipelines
AWS Glue job monitoring and error handling
Amazon Redshift performance tuning (DISTKEY, SORTKEY, WLM)
AWS Data Exchange for third-party data
Troubleshooting pipeline failures and data quality issues
Cost optimization for data workloads
S3 lifecycle policies and Intelligent-Tiering
EMR cluster optimization and auto-scaling
Redshift Serverless vs provisioned trade-offs
EventBridge for data pipeline event routing

Domain 4

18%

Data Security and Governance

Implement data security, privacy, and governance controls

Topics to Master

AWS KMS encryption for data at rest and in transit
AWS Lake Formation column-level and row-level security
S3 bucket policies, ACLs, and encryption
AWS IAM roles and policies for data access
Amazon Macie for sensitive data discovery
AWS Glue DataBrew for data masking and PII
VPC endpoints for private data access
CloudTrail for data access auditing
Data lifecycle management and retention policies
GDPR and compliance controls in AWS

Continue Your Prep

Free CertStud resources for DEA-C01

Study Notes Exam Study Plan Start Practice Test