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What is the duration, language, and format of AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam

• Type of Questions: Multiple choice (MCQs), multiple answers
• No negative marking for wrong answers
• Duration of Exam: 180 minutes
• Passing score: 72%
• Number of Questions: 65
• Language of Exam: English, Japanese, Korean & simplified Chinese

Target Audience

The potential candidates for the Amazon AWS Certified Data Analytics – Specialty exam are those individuals who are performing the Data Analytics roles. The test is generally targeted at the applicants who are working in different positions, such as a Solutions Architect, a Data Platform Engineer, a Data Scientist, as well as a Data Architect and a Data Analyst.

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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
• Security and compliance within the AWS Cloud environment
• Knowledge of the core AWS services
• AWS Cloud concepts

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.

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

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Understanding functional and technical aspects of AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam Design for New Solutions

The following will be dicussed in AMAZON DAS C01 exam dumps:

• Establish a data lifecycle based on usability patterns and business specifications
• Identify data access and retrieval patterns
• Discover a relevant system for cataloging data and handling metadata
• Choose a suitable data layout, scheme, composition, and format '
• Define the operational features of a storage solution for analytics