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Data Engineer Associate / STUDY TOOLS

Exam coverage map

Published objectives

Objective Revision topic
1.1 · Perform data ingestion 01 Data and analytics, 02 SQS, SNS, Kinesis and Amazon MQ, 05 Ingestion, Streaming and Transformation
1.2 · Transform and process data 01 Data and analytics, 05 Ingestion, Streaming and Transformation
1.3 · Orchestrate data pipelines 05 Ingestion, Streaming and Transformation, 07 Data Quality, Governance and Pipeline Operations
1.4 · Apply programming concepts 05 Ingestion, Streaming and Transformation, 06 SQL, Data Models and Schema Evolution
2.1 · Choose a data store 01 Data and analytics, 03 Advanced S3, 06 SQL, Data Models and Schema Evolution
2.2 · Understand data cataloging systems 01 Data and analytics, 06 SQL, Data Models and Schema Evolution
2.3 · Manage the lifecycle of data 03 Advanced S3, 07 Data Quality, Governance and Pipeline Operations
2.4 · Design data models and schema evolution 06 SQL, Data Models and Schema Evolution
3.1 · Automate data processing by using AWS services 05 Ingestion, Streaming and Transformation, 07 Data Quality, Governance and Pipeline Operations
3.2 · Analyze data by using AWS services 01 Data and analytics, 06 SQL, Data Models and Schema Evolution
3.3 · Maintain and monitor data pipelines 07 Data Quality, Governance and Pipeline Operations
3.4 · Ensure data quality 06 SQL, Data Models and Schema Evolution, 07 Data Quality, Governance and Pipeline Operations
4.1 · Apply authentication mechanisms 04 Security & Encryption
4.2 · Apply authorization mechanisms 04 Security & Encryption, 07 Data Quality, Governance and Pipeline Operations
4.3 · Ensure data encryption and masking 04 Security & Encryption, 07 Data Quality, Governance and Pipeline Operations
4.4 · Prepare logs for audit 07 Data Quality, Governance and Pipeline Operations
4.5 · Understand data privacy and governance 04 Security & Encryption, 07 Data Quality, Governance and Pipeline Operations

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