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Amazon DAS-C01 (AWS Certified Data Analytics - Specialty (DAS-C01)) Certification Exam is an important accreditation for professionals who work with data analytics in an AWS environment. It validates a candidate's expertise in using AWS services to design and implement data analytics solutions, making them a valuable asset for organizations looking to leverage their data for actionable insights.
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Amazon AWS-Certified-Data-Analytics-Specialty (AWS Certified Data Analytics - Specialty (DAS-C01)) Certification Exam is a globally recognized certification designed for professionals who want to demonstrate their expertise in data analytics on the Amazon Web Services (AWS) platform. AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version) certification exam is intended to validate an individual's technical skills and knowledge in designing, building, and maintaining AWS-based data analytics solutions.
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The AWS Certified Data Analytics - Specialty (DAS-C01) exam is designed for professionals who specialize in designing and implementing data analytics solutions using AWS services. AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version) certification validates your skills and knowledge in using AWS services for data analytics, including data lakes, data processing, data visualization, and machine learning.
Amazon DAS-C01 Korean Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Storage and Data Management | - Design scalable and durable data storage solutions - Optimize data storage formats and partitioning strategies |
| Topic 2: Processing | - Design and implement data processing pipelines - Select appropriate compute services for batch and stream processing (e.g., EMR, Glue, Lambda) |
| Topic 3: Security and Governance | - Implement data security and encryption strategies - Apply IAM policies and data access controls |
| Topic 4: Analysis and Visualization | - Use AWS analytics services (e.g., Athena, Redshift, QuickSight) - Design and implement analytics and business intelligence solutions |
| Topic 5: Data Collection and Ingestion | - Select appropriate AWS services for data ingestion (e.g., Kinesis, Firehose, SQS) - Design and implement data ingestion mechanisms |
