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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.

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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

2. Data Analytics Fundamentals Digital Course by AWS Training

This is a digital training that is self-paced and allows candidates to learn more about planning data analysis solutions & processes. This course walks individuals through the five subjects of the AWS Certified Data Analytics exam, covering basic architecture, potential use cases, and value prepositions, among the rest. It provides detailed information about the AWS services and will the most beneficial for data scientists, data analysts, and data architects who want to enhance their skills in AWS solutions and their implementation. Some of the skills one will master during this program include the following:

• Explain AWS services and their work to visualize data
• Analyzing the characteristics of the storage system for source data
• Understanding different ways used to analyze data and make reports with Amazon Athena and Amazon QuickSight tools
• Discovering different concepts of data schemas and defining how data and information is stored in the metastores
• Classifying the characteristics of data analysis solutions
• Knowledge of the types of data such as structured, unstructured, and semi-structured
• The use of Amazon Kinesis for processing streaming data
• Analyzing how Amazon EMR, Amazon Redshift, and AWS Glue work to process, transform, and cleanse data in data analysis solutions

It is recommended to take this course after experiencing database concepts. The applicant should have a basic understanding of data storage, analytics, and processing. Sessions are offered in Japanese, Portuguese, Spanish, Indonesian, Thai, Vietnamese, Korean, Simplified Chinese, and English.