AWS-Certified-Data-Analytics-Specialty dumps materials - exam dumps for AWS-Certified-Data-Analytics-Specialty: AWS Certified Data Analytics - Specialty (DAS-C01) Exam

Amazon AWS Certified Data Analytics - Specialty (DAS-C01) - AWS-Certified-Data-Analytics-Specialty certification

Exam Code: AWS-Certified-Data-Analytics-Specialty

Exam Name: AWS Certified Data Analytics - Specialty (DAS-C01) Exam

Updated: Jun 03, 2026

Q & A: 209 Questions and Answers

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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:

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

Career Opportunities

Amazon AWS Certified Data Analytics – Specialty is no doubt a highly valued and industry recognized certification. It will speak on your behalf concerning validation of your expertise in designing, building, maintaining, and securing analytics solutions efficiently. This makes you an asset that most organizations are looking for, thus positioning you for better positions. You will be a highly qualified professional for the titles, such as a Data Scientist, a Solutions Architect, a Data Analysts, and a Data Platform Engineer, among others. As for the salary, the potential candidates are expected to earn $90,000-$150,000 per year. The amount of the payment will depend on your job role, related tasks, working experience, and other criteria.

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Pattern of DAS-C01

During the AWS Data Analytics – Specialty test that lasts for 3 hours, the applicants will come across questions of different types. Multiple-choice questions have one correct response while other options are incorrect. In multiple-response items, there is more than one right answer out of five or more options. The unsolved tasks are scored as wrong but there is no penalty for guessing. The test might include the unscored content that is added to gather information to know stats, it doesn't affect your exam mark.

The exam covers five domains that include security, analysis and visualization, processing, storage and data management, and collection. One should be skilled in choosing the right collection system and data layout, automation, authentication methods, and others.

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