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The Amazon DAS-C01-KR exam comprises multiple-choice and multiple-response questions, and the time allocated for the exam is 180 minutes. Candidates must score a minimum of 750 out of 1000 to pass the exam. AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version) certification is valid for three years, and candidates are required to retake the exam after three years to maintain their certification.
The AWS Certified Data Analytics - Specialty (DAS-C01) Exam is an excellent opportunity for professionals to showcase their knowledge and skills in designing and implementing effective data analytics solutions using AWS services. AWS Certified Data Analytics - Specialty (DAS-C01 Korean Version) certification is globally recognized and respected in the industry, making it a valuable addition to any professional's resume. To be eligible for this certification, candidates must have a good understanding of AWS services related to data analytics and at least five years of experience in a data analytics role.
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Amazon AWS-Certified-Data-Analytics-Specialty exam is designed for professionals who want to validate their expertise in data analytics on the AWS platform. The AWS Certified Data Analytics - Specialty (DAS-C01) exam covers a wide range of topics related to data analytics, including data collection, storage, processing, visualization, and security. DAS-C01-KR exam is intended for individuals who have at least two years of experience in data analytics or a related field.
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2. Data Analytics Fundamentals Digital Course by AWS Training
This is a digital training that is self-paced and allows candidates to learn more about planning data analysis solutions & processes. This course walks individuals through the five subjects of the AWS Certified Data Analytics exam, covering basic architecture, potential use cases, and value prepositions, among the rest. It provides detailed information about the AWS services and will the most beneficial for data scientists, data analysts, and data architects who want to enhance their skills in AWS solutions and their implementation. Some of the skills one will master during this program include the following:
- The use of Amazon Kinesis for processing streaming data
- Classifying the characteristics of data analysis solutions
- Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
- Knowledge of the types of data such as structured, unstructured, and semi-structured
- Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions
- Discovering different concepts of data schemas and defining how data and information is stored in the metastores
- Analyzing the characteristics of the storage system for source data
- Explain AWS services and their work to visualize data
It is recommended to take this course after experiencing database concepts. The applicant should have a basic understanding of data storage, analytics, and processing. Sessions are offered in Japanese, Portuguese, Spanish, Indonesian, Thai, Vietnamese, Korean, Simplified Chinese, and English.
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