AWS Certified Data Analytics – Specialty is one of the well-known certificates from the Specialty level of the Amazon certification program. It shows that a certified individual has the relevant skills in using AWS analytics services and data lakes in order to get insights from data. This certificate is given to those professionals who understand how to use AWS services as well as have the expertise in designing, building, maintaining, and securing analytics solutions, which provide insight from data. It also proves that you understand how AWS data analytics services work with each other and fit into the lifecycle of processing, rendering, collecting, and storing data.
The Amazon AWS Certified Data Analytics – Specialty certification is created for those IT specialists who perform the data analytics roles and have experience working with AWS services. This means that you should have knowledge of various processes, including the design, building, security, and maintenance of analytics solutions. It is recommended that you have 5 years of technical experience with the common data analytics technologies as well as 2 years of practical expertise.
The qualification exam of this path is known as Amazon DAS-C01 and contains 65 questions. All the items are presented in the multiple-choice and multiple-response formats. You will have 180 minutes to deal with all of them and get the highest possible score you can gain. The pass mark for this test is 750 points and the maximum you can earn is 1000 points. All in all, the exam consists of the following topics that you need to prepare for:
- Collection – The first area is all about the operational characteristics of the collection system. The potential candidates need to have the skills in selecting a collection system, which addresses the key properties of data or handles the frequency, source, and volume of data;
- Security – Knowing how to apply the compliance and data governance controls as well as data protection techniques and encryption techniques is vital for this topic. It also evaluates your skills in selecting the proper authentication and authorization mechanisms;
- Storage and Data Management – The next section covers the details of the appropriate system for managing metadata and cataloging data, data access and retrieval patterns, as well as the operational characteristics of the storage solution for analytics. It is also important to have the skills in choosing the appropriate format, data layout, schema, and structure. Understanding the data lifecycle and being able to define it based on the usage patterns and business requirements is vital as well;
- Analysis and Visualization – To deal with the questions from this domain, you need to have the skills in choosing the appropriate data visualization and data analysis solutions. It is also essential to have knowledge of the operational characteristics of analysis and visualization solutions;
- Processing – If talking about this part, it evaluates your skills in automating and operationalizing data processing solutions. You need to know about the appropriate data processing solution requirements as well as solutions for transforming and preparing data for analysis.
Further Career Path
Those IT specialists who are interested in enhancing their careers and becoming Data Analytics choose this specialty-level certification for many reasons. Thus, it can prove your level of expertise and skillset and lead you to a promotion and salary increment. That is why it is the choice of many. However, if you want to obtain this Amazon certificate as well, you need to know that it is valid for 3 years. This means that you should recertify at the end of the period. If you are ready to keep an eye on the certification status and renew it when needed, you will have no issues with the task.
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