Aws Certified Data Analytics Study Guide: Specialty (Das-C01) Exam

by Asif Abbasi

Move your career forward with AWS certification! Prepare for the AWS Certified Data Analytics Specialty Exam with this thorough study guide

This comprehensive study guide will help assess your technical skills and prepare for the updated AWS Certified Data Analytics exam. Earning this AWS certification will confirm your expertise in designing and implementing AWS services to derive value from data. The AWS Certified Data Analytics Study Specialty (DAS-C01) Exam is designed for business analysts and IT professionals who perform complex Big Data analyses.

This AWS Specialty Exam guide gets you ready for certification testing with expert content, real-world knowledge, key exam concepts, and topic reviews. Gain confidence by studying the subject areas and working through the practice questions. Big data concepts covered in the guide

Collection Storage Processing Analysis Visualization Data security AWS certifications allow professionals to demonstrate skills related to leading Amazon Web Services technology. The AWS Certified Data Analytics Specialty (DAS-C01) Exam specifically evaluates your ability to design and maintain Big Data, leverage tools to automate data analysis, and implement AWS Big Data services according to architectural best practices. An exam study guide can help you feel more prepared about taking an AWS certification test and advancing your professional career. In addition to the guide's content, you'll have access to an online learning environment and test bank that offers practice exams, a glossary, and electronic flashcards.

Genres: Technology

408 pages, Kindle Edition

Published September 29, 2020

Reviews

[Oleg Soroka · Rating 4 out of 5]

It's a good additional resource for preparing for the DAS-C01 exam. Can only work in conjunction with other good resources such as Udemy courses, Dojo tutorials, and so on. On its own, it might seem very shallow, inconsistent, and not too well structured.

[Piotr Pabis · Rating 4 out of 5]

It's a bit outdated in terms of terminology ("Redshift Lakehouse" is "Spectrum", "ElasticSearch" is "OpenSearch"). Also there's too much references to blog posts instead of actually describing the content. For example there's nothing on setting up Lake Formation, only which services can integrate with it (the same ones as with Glue and S3?).
However, the amount of different additional resources is satysfying, for example a lot of them on QuickSight that explains almost every major feature.

[Ntombizakhona Mabaso · Rating 5 out of 5]

Although the AWS Data Analytics Specialty certification has been deprecated and replaced by the Data Engineering Associate certification, this guide remains a valuable resource for understanding key data analytics concepts.

While it may no longer align with the latest certification paths, it’s still worth a read for foundational knowledge in AWS data analytics.