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Exam Details

Amazon DAS-C01 is available in more than a few languages, including English, Simplified Chinese, Japanese and Korean. There are around 65 questions in total that should be answered within the allocated time of 180 minutes. These items are presented in the multiple-choice and multiple-response formats. The minimum passing score of this test is 750 marks on a scale of 100-1000. The applicants have to pay the fee of $300 along with $40 for the official practice test.

Reference: https://d1.awsstatic.com/training-and-certification/docs-data-analytics-specialty/AWS-Certified-Data-Analytics-Specialty-Exam-Guide_v1.0_08-23-2019_FINAL.pdf

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Exam Topics

As for Amazon DAS-C01, the vendor provides the learners with the guide that includes the detailed information about all its domains. All in all, the topics covered in the exam content are as follows:

• Security

  The questions of the last objective are dedicated to validating the individuals’ understanding of selecting the appropriate authorization and authentication mechanisms, applying data compliance & governance controls, and applying data encryption & protection techniques.

• Analysis and Visualization

  This topic is all about the students’ ability to demonstrate a wide range of technical tasks related to visualization and analysis of data, including selecting the right data visualization & data analysis solutions for a specific scenario, as well as determining the operational features of visualization and analysis solution.

• Processing

  In the framework of this subject area, the test takers have to perform their knowledge and skills in determining the proper data processing solution requirements, operationalizing & automating a data processing solution, designing a solution for preparing and transforming data for analysis, and more.

• Storage and Data Management

  This domain evaluates the professionals’ skills in determining the operational characteristics of the given storage solution for analytics, defining a data lifecycle based on the business requirements & usage patterns, determining an appropriate system for managing Metadata and cataloging data, as well as selecting the appropriate data layout, format, structure & schema, and determining data access & retrieval patterns.

• Collection

  The first part requires that the candidates demonstrate their expertise in determining the operational characteristics of features of the collection system, selecting a collection system that addresses the main properties of data, such as compression, format, and order, as well as selecting a collection system, which handles the source, volume, and frequency of data.