Amazon-DEA-C01 Exam Syllabus
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Before starting your Amazon-DEA-C01 exam preparation, it is recommended to review the complete Amazon AWS Certified Data Engineer - Associate exam syllabus and carefully go through the exam objectives listed below. Once you understand the exam structure and objectives, you should practice using our free Amazon-DEA-C01 questions. We also provide premium Amazon-DEA-C01 practice test, fully updated according to the latest exam objectives, to help you accurately assess your preparedness for the actual exam.
Amazon-DEA-C01 Exam Objectives
| Section | Weight | Objectives |
|---|---|---|
| Data Ingestion and Transformation | 34% | This section of the exam measures the skills of data engineers and architects responsible for designing and implementing scalable data ingestion pipelines. It focuses on the ability to collect and transform data from various sources into formats suitable for analysis and processing. The target audience is expected to have expertise in using Amazon Web Services (AWS) data services to build reliable, optimized, and secure ingestion processes that support data analysis and business intelligence workflows. |
| Data Store Management | 26% | This domain evaluates the abilities of database administrators, data engineers, and cloud architects in managing data storage solutions on AWS. Candidates must demonstrate knowledge of creating, configuring, and optimizing data stores such as relational databases, NoSQL databases, and data lakes. This section measures proficiency in managing performance, scalability, and costs, while ensuring the integrity and availability of data. The target audience should be able to implement efficient storage solutions tailored to the needs of specific applications |
| Data Operations and Support | 22% | This section is designed for data operations professionals, support engineers, and system administrators who maintain and monitor data workflows on AWS. It covers operational best practices, including automation, monitoring, troubleshooting, and optimizing data pipelines. Candidates must be proficient in ensuring data reliability, resolving system issues, and supporting ongoing operations to ensure seamless data flow across systems. |
| Data Security and Governance | 18% | Targeted at cloud security engineers, compliance specialists, and data governance professionals, this section tests candidates' ability to secure data within AWS services and ensure compliance with governance policies. It focuses on implementing access controls, encryption strategies, data privacy measures, and auditing mechanisms to protect sensitive data. The audience for this domain must understand how to design and enforce governance frameworks that comply with organizational and regulatory standards. |
| Official Information | https://d1.awsstatic.com/training-and-certification/docs-data-engineer-associate/AWS-Certified-Data-Engineer-Associate_Exam-Guide.pdf |
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