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Amazon Web Services DAS-C01 Practice Test Questions Answers

Exam Code: DAS-C01 (Updated 157 Q&As)
Exam Name: AWS Certified Data Analytics - Specialty
Last Update: 23-Nov-2023
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AWS Certified Big Data – Specialty Exam

(Amazon DAS-C01)

Who are the intended audience of the Amazon DAS-C01 Exam?

This exam is intended for the individuals who are capable of analyzing complex Big Data applying AWS technology and possess at least two years field experience. A new version of the AWS Certified Big Data – Specialty exam was scheduled to be released in April 2020 but so far as it is delayed. The candidates should be in touch with the official website of the exam for any upcoming updates.

Am I eligible to take the Amazon DAS-C01 Exam?

To take this specialist exam, the candidates are required to make sure minimum five year experience on AWS Big data and its related concepts and services. The syllabus of this exam comprises six major topics that are Collection, Storage, Processing, Analysis, Visualization and Data Security. Each of these exam topics is further divided into multiple sub topics. The candidates should ensure their in-depth education and field experience of the entire syllabus topics. The core areas that require your attention the most include defining and architecting AWS Big Data services, their relationship with the data life cycle of collection, ingestion, storage, processing, and visualization.

What are the career benefits of passing the Amazon DAS-C01 Exam?

The Amazon DAS-C01Exam is meant to obtain the validation of your expertise with a prestigious credential - the AWS Certified Big Data – Specialty certification. If you pass this exam, you get ample chances to promote your career and earn the huge annual income. Your ability to implement, design and maintain the AWS Big Data services is a much needed skill in the tech industry and your validated status will add to your prestige and credibility. Amazon credentials have global recognition. It will make easier for you to secure jobs in all parts of the world.

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