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Amazon DAS-C01 (AWS Certified Data Analytics - Specialty) certification exam is an excellent opportunity for data analytics professionals to validate their skills and knowledge in designing and implementing analytics solutions on AWS. AWS Certified Data Analytics - Specialty (DAS-C01日本語版) certification exam covers a wide range of topics and AWS services, and passing the exam demonstrates mastery of these topics and services. The demand for data analytics professionals who can design and implement solutions on AWS is growing rapidly, and the AWS Certified Data Analytics - Specialty (DAS-C01) certification exam is an excellent way to distinguish oneself in this field.
The AWS Certified Data Analytics - Specialty (DAS-C01) certification exam covers a wide range of topics related to data analytics, including data collection, storage, processing, analysis, and visualization. AWS-Certified-Data-Analytics-Specialty-JPN exam also covers topics such as AWS services for data analytics, data security and compliance, and best practices for designing and implementing data analytics solutions on AWS.
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Amazon DAS-C01日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Analysis and Visualization | 18-22% | - Select appropriate analysis tools and query engines - Optimize query performance and data access patterns - Enable self-service analytics and reporting - Design and implement data visualization solutions |
| Topic 2: Security | 10-18% | - Apply data governance and protection best practices - Manage authentication, authorization, and access control - Ensure compliance, auditing, and monitoring - Implement encryption at rest and in transit |
| Topic 3: Storage and Data Management | 22-26% | - Implement data lifecycle policies and cost optimization - Choose storage formats, schemas, and partitioning strategies - Manage metadata and data cataloging - Design data lake and data warehouse architectures |
| Topic 4: Collection | 18-22% | - Address data properties: order, format, compression, frequency, volume - Select appropriate ingestion services for batch and streaming data - Determine operational characteristics of collection systems |
| Topic 5: Processing | 24-28% | - Automate and operationalize data pipelines - Optimize processing performance and reliability - Design batch and stream processing solutions - Transform, clean, and prepare data for analysis |
