AWS Certified Data Analytics Specialty (DAS-C01)
AWS Certified Data Analytics Specialty (DAS-C01)
AWS Certified Data Analytics Specialty Exam (DAS-C01)
The AWS Certified Data Analytics Specialty (DAS-C01) exam validates the candidate’s knowledge and understanding of using AWS services for planning, creating, securing, and maintaining analytics solutions that provide insight from data. However, this exam is also best for those in the data analytics-focused role.
Skills Acquired
The AWS Data Analytics Specialty Exam validates an examinee’s ability in -
- Defining AWS data analytics services and understanding how they combine with each other.
- Explaining the process of AWS data analytics services for fitting in the data lifecycle of collection, processing, storage, and visualization.
Recommended AWS Knowledge
- At least 5 years of experience with common data analytics technologies with a minimum of 2 years of applied experience in operating AWS
- Experience and skills in working with AWS services for planning, creating, securing, and maintaining analytics solutions
Course Outline
The AWS Data Analytics Specialty Exam covers the following topics as per the latest updates -
- Module 1: Overview of Collection (18%)
- Module 2: Understanding Storage and Data Management (22%)
- Module 3: Overview of Processing (24%)
- Module 5: Analysis and Visualization (18%)
- Module 5: Security (18%)
Exam Format and Information
| Exam Name AWS Certified Data Analytics Specialty | Exam Code DAS-C01 |
| Exam Duration 180 mins | Exam Format Multiple Choice and Multi-Response Questions |
| Exam Type Data Analytics | Number of Questions 65 Questions |
| Eligibility/Pre-Requisite NIL | Exam Status Live |
| Exam Language English, Japanese, Korean, and Simplified Chinese | Pass Score 750 (on a scale of 1-1000) |
AWS Certified Data Analytics Specialty (DAS-C01) FAQs
Where can I get the documentation for the AWS Certified Data Analytics Specialty exam?
For documentation, you can refer to the AWS Certified Data Analytics Specialty exam online tutorial. The tutorial contains the documentation according to the course outline.
AWS Certified Data Analytics Specialty (DAS-C01) Online Tutorial
What are the latest changes in the AWS Certified Data Analytics Specialty exam?
In March 2021, a new version of the AWS Certified Big Data – Specialty (BDS-C00) exam was launched which is AWS Certified Data Analytics – Specialty (DAS-C01) Exam. AWS DAS-C01 exam will help in achieving candidates with an industry-recognized credential from AWS with validating skills in AWS data lakes and analytics services.
AWS Certified Data Analytics Specialty Exam Update
AWS Certified Data Analytics Specialty Exam Update
What is the recommended knowledge for AWS Certified Data Analytics Specialty Exam?
- A minimum of 5 years of experience with common data analytics technologies
- At least 2 years of hands-on experience working on AWS
- Experience and expertise working with AWS services to design, build, secure, and maintain analytics solutions
What are the skills acquired for AWS Certified Data Analytics Specialty Exam?
The AWS Data Analytics Specialty Exam validates an examinee’s ability to -
- Understand AWS data analytics services and understand how they integrate with each other.
- Learn how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization.
What is the course outline for AWS Certified Data Analytics Specialty Exam?
The AWS Data Analytics Specialty Exam covers the following topics -
- Module 1: Understanding Collection (18%)
- Module 2: Understanding Storage and Data Management (22%)
- Module 3: Overview of Processing (24%)
- Module 5: Analysis and Visualization (18%)
- Module 5: Security (18%)
What is AWS Certified Data Analytics Specialty Exam?
The AWS Certified Data Analytics Specialty exam has been developed for individuals who are required to perform in a data analytics-focused role. The AWS Data Analytics exam evaluates a candidate's comprehensive understanding of
- Using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data.