Pass Your Amazon AWS Certified Data Analytics - Specialty Exam Easy!

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The Amazon AWS Certified Data Analytics – Specialty exam, which has a code DAS-C01, is a certification test that evaluates the professionals’ expertise in building, designing, maintaining, and securing analytics solutions on AWS. It is an industry recognized option that Amazon offers to validate the applicants’ skills in the AWS data lakes as well as for analytic services.

Target Audience

The potential candidates for the Amazon AWS Certified Data Analytics – Specialty exam are those individuals who are performing the Data Analytics roles. The test is generally targeted at the applicants who are working in different positions, such as a Solutions Architect, a Data Platform Engineer, a Data Scientist, as well as a Data Architect and a Data Analyst.

Prerequisites

Amazon specifies the recommended knowledge and experience for taking the DAS-C01 exam. It is also required to have any associate-level certification or the AWS Certified Cloud Practitioner certificate. In terms of experience, the students for this test should have a minimum of five years of practical experience in working with analysis solutions on AWS and complex data analytics. The candidates need to possess the relevant expertise and familiarity with the AWS services for building, securing, designing, and maintaining analytics solutions.

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.

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.

• 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.

• 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.

Preparation Process

The most critical part of any IT certification exam is thorough preparation. These are the steps you can rely on when studying for your Amazon AWS Certified Data Analytics – Specialty test. In a very visual way, the AWS training allows you to fully understand every important component of this exam.

• Exam Blueprint

  The first step to preparing for the Amazon DAS-C01 test is to visit the official webpage, check out what the exam is about, and find out what preparation resources are available & recommended. You will find the official study guide, which contains all the exam objectives in detail, as well as recommendations for further study.

• AWS Training Courses

  To prepare for your certification exam, you can take and complete the AWS training, which is Exam Readiness: AWS Certified Data Analytics – Specialty. This is a free course that lasts for 3 ½ hours. Through this training, you will be able to prepare for the test by exploring its subject areas and familiarizing yourself with the exam approach and question style.

• AWS Whitepapers

  Any preparation process for the Amazon exam should not be complete without the use of the AWS whitepapers. The vendor has numerous documents that directly refer to the Data Analytics products. One of the most recommended papers that you will find in the AWS Data Analytics Learning Path is Kinesis.

• Practice Tests

  The next step should be going through the free sample questions that are available for the applicants on the official website. These questions are important as they help you imagine how and what the real exam will look like. It will also allow you to easily assess the knowledge you have acquired through the use of guides, books, whitepapers, and so on.

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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