• Certification: AWS Certified Data Analytics - Specialty
  • Certification Provider: Amazon

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The Amazon AWS Certified Data Analytics – Specialty certification is designed to impart high-end and the latest tools and technologies related to data analysis. It is one of the most recently created accreditations in the AWS certification suite, so it provides the right kind of exposure to the designing, implementation, and end-to-end management of data analysis solutions.

Launched in April 2020, Amazon AWS Certified Data Analytics – Specialty came as an advancement of the AWS Certified Big Data — Specialty certification. This is an industry-recognized certificate that offers utmost significance to the expertise associated with the AWS data lakes and analytics services. Earning it gives the candidate the much-needed confidence and excellence to provide AWS data analysis solutions that are effective and viable in the real world. It also validates the AWS data analytics services understanding along with integrating and collaborating abilities of the applicant at the global level.

Intended Audiences

This certification is an ideal way to leverage the AWS career of a professional who is already working or intends to work in a key analytics-focused job role and is looking for a means to hone the required skills. Those with a considerable amount of work experience in data analytics technologies can also go for this certificate to improve their chance of higher pay and promotions.

Obligatory Prerequisites

As this is a Specialty certification, some prior experience and conceptual understanding are needed. As per the official exam guide, and Amazon AWS Certified Data Analytics – Specialty aspirant should be well-versed in data analytics technologies and have a minimum of 5-year work background in the related field. Along with this, a minimum of 2-years hands-on experience in AWS solution designing, maintaining, and securing is also suggested.

Exam Details

To acquire the Amazon AWS Certified Data Analytics – Specialty certification, a candidate has to pass DAS-C01 exam that is 180 minutes long and consists of multiple-choice and multiple-answer questions. There is no negative marking for wrong answers but unanswered items will be marked as incorrect during evaluation. Generally, one has to score 750/1000 marks to earn the pass status in the test. The score is defined based on the compensatory scoring model. Notice, that the exam might contain some unscored questions.

DAS-C01 is available in English, Japanese, Korean, and Simplified Chinese languages and can be taken via both online mode and in the testing centre. The exam fee is $300. The results will be valid for three years, and candidates have to fulfill the renewal requirements before the credibility cycle ends in order to enjoy the certification perks.

Exam Domains

DAS-C01 exam is all about five key domains viz.: Collection, Storage and Data Management, Processing, Analysis and Visualization, and Security. Each of them has a different weight and covers the key concepts related to data analytics.

Domain 1 has 18% of total exam content and talks about determining the operational characteristics of the collection system and selecting the collection system that is needed for effective handling of frequency, volume, and source of data. It also covers the peculiarities involved in choosing the system that is essential for addressing the key properties of data like order, format, and compression.

In the second domain, candidates will learn about key principles of determining the operational characteristics of a storage solution, data access and retrieval, data layout, and data lifecycle. Skills required for metadata management and cataloging are also well covered in this section.

Processing is the title of the third domain and it teaches a candidate how to determine appropriate data processing solutions and how to design a data transformation approach. Techniques required for automation and operationalization of a data solution have also considerable importance in this domain.

Analysis and Visualization are what a candidate will learn in the fourth domain. They should understand how to determine the operational characteristics of analysis, select the right kind of data analysis solution, and perform data visualization under certain situations.

In the last domain, key security principles are observed. It covers all the skills and expertise needed for selecting the right kind of authentication and authorization mechanisms, implementing the data protection, and applying data governance and compliance controls effectively whereas is needed.

The Market Worth of AWS Certified Data Analytics – Specialty Certification

Since AWS Certified Data Analytics – Specialty is the recently updated certification and the exam content is up-to-the-minute, earning it will help one fit the industry trends. When a data scientist or data engineer is equipped with such high-end knowledge, there won’t be any dearth of opportunities because the companies need such skilled and seasoned data specialists.

Such advanced knowledge creates real-world problem-solvers that can perform day-to-day jobs perfectly. Certified candidates are ideal for job roles like Data Scientists, Data Engineers, and Data Security Specialists as they are able to accomplish the tasks related to massive data processing easily.

Being a globally recognized certificate, it allows its holders to explore their expertise without any geographical boundaries. As far as compensation is concerned, it is very promising. PayScale says that the annual salary for professionals in the mentioned positions is about $96k, $92k, and $76k, respectively, which is likely to increase with additional experience and certifications.

Certification Path

The Specialty certification series allows professionals to leverage their careers as per their wish. Thus, with AWS Certified Data Analytics – Specialty, you can go for any other certificate at this path like AWS Certified Machine Learning – Specialty or AWS Certified Alexa Skill Builder- Specialty, considering the competence your career demands. These accreditations will improve your professional prospects help you to get established as a valuable asset for any organization.

In addition, there is an opportunity for one to go for associate-level or professional-level AWS certificates. They cover various IT areas being suitable for solutions architects, developers, SysOps administrators, and DevOps engineers.

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