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Who should take the AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam

The most suitable candidate for the Amazon Web Services Certified Cloud Practitioner (CLF-C01) exam would be the one possessing knowledge about the following:

• Know-how of the economics of the AWS Cloud
• AWS Cloud concepts
• Security and compliance within the AWS Cloud environment
• Knowledge of the core AWS services

The applicant should at least have six months, or the equivalent, of active commitment with the AWS Cloud, with engagement to AWS Cloud design, implementation, and/or operations. Candidates will exhibit the knowledge of well-designed AWS Cloud solutions.

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Pattern of DAS-C01

During the AWS Data Analytics – Specialty test that lasts for 3 hours, the applicants will come across questions of different types. Multiple-choice questions have one correct response while other options are incorrect. In multiple-response items, there is more than one right answer out of five or more options. The unsolved tasks are scored as wrong but there is no penalty for guessing. The test might include the unscored content that is added to gather information to know stats, it doesn't affect your exam mark.

The exam covers five domains that include security, analysis and visualization, processing, storage and data management, and collection. One should be skilled in choosing the right collection system and data layout, automation, authentication methods, and others.

Reference: https://d1.awsstatic.com/training-and-certification/docs-data-analytics-specialty/AWS-Certified-Data-Analytics-Specialty-Exam-Guide_v1.0_08-23-2019_FINAL.pdf

AWS Data Analytics Specialty Training Courses

There are many courses available for candidates to prepare well for the certification exam. Two most popular options are as follows:

1. Big Data On AWS Training Course by AWS Training

This training presents test-takers with big data solutions such as Amazon Kinesis, Amazon Redshift, Amazon EMR, and others. One will learn more about how to use these tools effectively and process the required data using Hue and Hive. The applicants will also gain information about the following subjects, to name a few:

• Transferring, compressing, and ingesting data
• Visualization software
• Selecting proper solutions for data storage
• Utilizing programming frameworks

This 3-days course is available in different languages like English, French, German, Italian, Simplified Chinese, and many more. To help you grasp the topics better, it also involves practical labs.

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