As an individual, you can learn how to design and derive insights from data by exploring practical examples and gaining a deep understanding of the fundamentals. The AWS Data Analytics Certification (DAS-C01) is your way to enter the world of data as an expert.
AWS offers the broadest range of analytics services to meet all your data analytics requirements, enabling businesses to use data to reimagine their operations.
AWS provides dedicated services that provide:
- Best cost performance.
- Scalability.
- Everything from data migration to data storage, data lakes, big data analytics, business intelligence, and machine learning (ML) at the lowest cost.
The performance, scale, and pricing of AWS analytics services are optimized to deliver the best results for your needs. They are precisely designed to help you quickly extract data insights using the best tools for the task.
AWS Data Analytics provides a wide range of tools and services for analyzing your data. You can become a certified data analyst by leveraging the skills you need and earning the AWS Data Analytics Certification (DAS-C01) certification.
This article focuses on the basics of AWS Data Analytics and a roadmap for achieving AWS certification.
AWS Data Analytics Certification Overview
As the name suggests, the AWS Data Analytics Certification – Specialty exam covers a wide range of big data principles, including data transfer and collection, storage, pre-processing, analysis, visualization methods and data concepts. Security at each layer.
Those who want to pass the AWS Data Analytics DAS-C01 certification exam should follow a specific study route. This exam is aimed at people working in data analysis-intensive roles. This test verifies a candidate’s thorough knowledge of how to leverage AWS services to develop, create, secure, and maintain analytical solutions that provide insights about data.
What does the AWS Data Analytics certification certify about the certificate holder, and how long is the certification valid?
The purpose of the certification is to demonstrate expertise in several key areas that AWS has certified as being able to:
- Learn what AWS data analytics services are and how they work together.
- Describe the role AWS data analytics services play in the collection, storage, processing, and visualization phases of the data lifecycle.
- You must demonstrate this knowledge across five different areas, with each part accounting for a percentage of your final score.
With the help of this certificate, companies can find and develop talent with the requisite competencies needed to carry out cloud activities. The AWS Data Analytics Certification DAS C01 status proves your company’s proficiency in using analytics and data lakes to draw conclusions from data.
Domains and competencies eligible for certification
The AWS Data Analytics certification covers five domains: collection, storage and data management, processing, analysis and visualization, and security.
80% of the exam is devoted to topics such as Glue, Kinesis, and Redshift, so make sure you understand and fully cover all services.
To understand the many exam scenarios, you should familiarize yourself with the following services:
Amazon Athena – You need to know how to configure and enhance Amazon Athena performance and analyze data in your S3 buckets.
Amazon CloudSearch: Understand Amazon CloudSearch features and usage scenarios.
Amazon Elasticsearch: You should be familiar with Amazon Elasticsearch and know how to combine Elasticsearch and Kibana with multiple AWS services.
Amazon EMR: Candidates should understand how to leverage the AWS Glue Data Catalog for table metadata and the security, hardware, and software requirements for Amazon EMR clusters.
Amazon Kinesis: Use Amazon Kinesis to see how each Kinesis service (Data Streams, Data Firehose, Data Analytics) is used and how they differ.
Amazon QuickSight: Candidates should know how to connect Amazon QuickSight to their applications and use Amazon QuickSight to publish dashboards, reports, analyzes, and dataset updates.
Amazon Redshift: You should be able to take advantage of the multiple SQL commands available with Redshift Spectrum and Amazon Redshift, and understand how to inspect data in your data warehouse.
AWS Data Pipeline: Candidates should understand AWS Data Pipeline concepts and components.
AWS Glue: To use AWS Glue, you need to understand the underlying concepts of data catalogs, crawlers, workflows, triggers, jobs, job bookmarks, and job metrics.
Complete overview of the AWS Data Analytics Certification Exam
There are no criteria for applying for this certification. Anyone can take this exam now without completing any other AWS credentials.
We strongly recommend that you earn one AWS Associate Level/Practitioner certification. This will help you focus on understanding the basic ideas of data analysis faster.
If you don’t have a background in data analysis (BigData, Hadoop, Spark), we recommend learning the basics of Hadoop. This is very useful for quickly connecting these services and tools to AWS services. Udemy has many BigData/Hadoop courses.
Exam structure
However, the exam consists of 65 questions, which must be solved within a time limit of 170 minutes.
The acceptance criteria for reported scale scores are the same. The benchmark for passing is a scale score of 700 for Foundation Level exams, 720 for Associate Level exams, and 750 for Professional Level and Specialty exams.
exam score
Your overall performance on the test is represented by a score, which indicates whether you pass or fail. A scaled scoring model is employed when comparing scores on multiple exam forms with slightly different difficulty levels.
AWS Certification tests give you a scaled score rather than the actual number of questions answered correctly. Scaled scores allow for uniform score interpretation across different exam types.
AWS employs multiple exam formats to maintain exam security and replace questions as needed. Multiple exam formats are statistically equalized to ensure that all candidates are at the same level of proficiency, even if the exams have different difficulty levels due to different questions.
For example, getting 7 out of 10 easy questions correct is not the same as getting 7 out of 10 knowledge-wise difficult questions correct.
Equivalent scores are then converted to scaled scores for presentation to candidates, just as you can convert between scales such as Fahrenheit and Celsius. This ensures that the two scores have the same interpretation regardless of the test taker’s form.
Examination fee
The cost to take the Cloud Practitioner exam is $100. Associate level exams are $150. The exam fee for Professional Level and Specialty exams is $300.
Exam validity period
If you fail the exam, you must wait 14 days before taking the exam again. There is no limit to the number of exam attempts. However, you must pay the total registration fee each time you take the exam.
Once you pass the exam, you are prohibited from taking it again for two years. You will be eligible to take the new exam version if it has been updated with new exam guides and exam series codes.
How much salary can I expect to earn when I earn an AWS Data Analytics certification?
Typical AWS salaries start at $7,710 per year. If you don’t have the opportunity to work at a top company or don’t have the necessary experience, jobs can start as low as $4,866 per year. Depending on where you live and the organization you work for, this can reach up to $19,500 per year.
Salary ranges also vary depending on factors such as:
- position
- experience
- employer
- skill set
Your annual income will also largely depend on your level of experience in the profession. AWS architects with less than a year of expertise can expect to earn around $6,000 per year. For professionals with one year of experience, it can reach up to $10,000.
The next two levels of experience are reserved for senior-level architects whose work requires more management and supervision.
Professionals with 6 to 14 years of experience can earn up to $22,000 per year. For professionals in the same industry, it can reach up to $38,000 per year for 15 years.
If you’re a Senior Solutions Architect, have the necessary experience, and work for a reputable organization, you can earn up to $63,000 per year.
Resources needed to prepare for the AWS Data Analytics Certification (DAS-C01) exam:
If you’re a beginner looking for a clear starting point to develop your career or increase your knowledge of data analysis on the AWS Cloud, we recommend starting with an AWS Learning Plan.
Learn to collect, ingest, store, process, and visualize data with this series of on-demand courses. You can use the study plan to prepare for the AWS Certified Data Analytics – Specialty test.
AWS Certified Data Analytics Specialty 2022 – Hands-On: Udemy
The AWS Certified Data Analytics Specialty 2022 course provides multiple opportunities to enhance your learning with hands-on tasks and quizzes. Completing this course includes practice exams that are comparable to the real exam in length, difficulty, and format, so you can see if you’re ready before spending money to take it. This course will also teach you some tricks and tactics that will help you on the exam.
Exam Prep | AWS Certification Data Analytics – Specialty (DAS-C01): Udemy
This course is designed to help you understand the knowledge and techniques needed to pass the AWS DAS-C01 exam on the first try. The AWS Certified Data Analytics (DAS-C01) course also includes multiple practice tests with multiple-choice questions to test your potential and prepare for the certification.
AWS Certified Data Analytics Specialty (DAS-C01): Test Prep Tutorial
The AWS Certified Data Analytics Specialty tutorial helps you prepare for the exam by detailing exam prerequisites, pricing, domains, and a complete breakdown of the modules covered with exam information.
AWS Certified Data Analytics – Specialty (DAS-C01): Cloud Academy
An AWS Certified Author has prepared this AWS Certified Data Analytics – Specialty (DAS-C01) learning path . This will help you acquire all the knowledge and skills needed to meet the domain requirements as you progress along the learning route and master all subjects thoroughly.
AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam
This extensive study guide helps you assess your technical proficiency and prepare for the latest AWS Certification Data Analytics test.
| preview | product | evaluation | price | |
|---|---|---|---|---|
 | AWS Certified Data Analytics Study Guide: Specialty (DAS-C01) Exam | $36.00 | Buy on Amazon |
The AWS Certified Data Analytics Study Guide is available on Amazon in both Kindle and paperback versions.
AWS Certified Data Analytics – First Edition – 2022
Exam preparation notes are a condensed version of notes that cover the entire exam syllabus. This valuable and excellent booklet provides a quick overview of technical ideas related to certification exams.
| preview | product | evaluation | price | |
|---|---|---|---|---|
 | AWS Certification Data Analysis – Specialty: Exam Preparation Notes – First Edition – 2022 | $11.14 | Buy on Amazon |
AWS Certified Data Analytics – Specialty: Exam Preparation Notes is available on Amazon in Kindle and paperback versions.
conclusion
I decided on a goal. It’s time to learn new things, develop new talents and improve your career. Find AWS training and certification materials related to AWS Data Analytics Certification. These recommended resources provide opportunities to learn from AWS professionals.
Earning an AWS Data Analytics certification is something you should do regardless of your level of experience or education, whether you’re a recent college graduate, a subject matter expert, or self-taught.
You’ll have a better chance of landing your dream career, command a higher salary, and earn industry-recognized certifications that establish you as an authority in your field.
You can also refer to some more AWS practice tests to help you pass the exam.
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