How do you start to study for the AWS Certified Data Analytics Specialty Exam
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AWS offers the widest range of analysis tools and engines that analyze data using open formats and standards. To validate their experience with AWS data analysis solutions, manufacturers can now use the beta version of AWS Certified Data Analytics - Specialty Certification. AWS Certified Data Analytics: the specialized certification validates the technical experience in the design, creation, safety and maintenance of analysis solutions in AWS. This certification was first launched in 2017 as AWS - Specialty certified Big Data. The new name highlights the range of technical skills and experience in data and analysis validated by the certification. The new version of the exam includes updated content in all categories, from collection to viewing. It is the only AWS certification that specifically focuses on data analysis experience. This certification demonstrates its ability to design and implement analysis solutions that provide information through the visualization of data with appropriate security and automation measures.
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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:
- 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.
- 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.
- 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.
- 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.
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