AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version): DAS-C01 Exam
"AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version)", also known as DAS-C01 exam, is a Amazon Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 209 Q&As to your DAS-C01 Exam preparation. In the DAS-C01 exam resources, you will cover every field and category in AWS Certified Data Analytics Certification helping to ready you for your successful Amazon Certification.
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- Exam Code: DAS-C01
- Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version)
- Certification Provider: Amazon
- Corresponding Certification: AWS Certified Data Analytics
- Updated: Jul 23, 2026
- No. of Questions: 209 Questions & Answers with Testing Engine
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How much AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam Cost
The cost of the AWS AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam is 300 USD. For more information related to exam price, please visit the official website AWS Website as the cost of exams may be subjected to vary county-wise.
You can read the Registration procedure of the AWS Certified Data Analytics Specialty Exam
In order to apply for the AWS Certified Data Analytics - Specialty, You have to follow these steps
- Step 1: Sign in to AWS Training
- Step 2: Click Certification in the top navigation
- Step 3: Click AWS Certification Account Button
- Step 4: Followed by Schedule New Exam
- Step 5: Search the AWS Certified Data Analytics - Specialty exam
- Step 6: Click either the Schedule at PSI or Schedule at Pearson VUE button
- Step 7: Select Date, time and Schedule your test
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You can read the AWS Certified Data Analytics Specialty Exam cost
The price of AWS Certified Data Analytics - Specialtyexam is $300 USD.
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You can read the AWS Certified Data Analytics Specialty Exam Requirements
There is no prerequisites for AWS Certified Data Analytics - Specialty exam.
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Amazon DAS-C01 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Storage and Data Management | 22% | - Storage Architecture
|
| Topic 2: Security | 18% | - Security and Compliance
|
| Topic 3: Collection | 18% | - Data Collection Systems
|
| Topic 4: Analysis and Visualization | 18% | - Analytics and Reporting
|
| Topic 5: Processing | 24% | - Data Processing Solutions
|
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