AWS Certified Data Analytics Specialty DAS-C01 Exam Prep

AWS Certified Data Analytics Specialty Practice Tests| DAS-C01 | Comprehensive coverage | Guaranteed Pass | Mock Tests

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AWS Certified Data Analytics Specialty DAS-C01 Exam Prep
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Aug 2022
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What you will learn

Guaranteed chance to pass the exam if you score 90%+ on each practice exam

Ace your AWS Certified Data Analytics Specialty DAS-C01 exam

Practice with high quality practice exams alongside detailed explanation to learn concepts

Learn what sorts of questions to expect on the real certification exam

Description

Exam Details:

The AWS Certified Data Analytics - Specialty (DAS-C01) examination is intended for individuals who perform in a data analytics-focused role. This exam validates an examinee’s comprehensive understanding of using AWS services to design, build, secure, and maintain analytics solutions that provide insight from data. It validates an examinee’s ability to:

  • Define AWS data analytics services and understand how they integrate with each other.

  • Explain how AWS data analytics services fit in the data lifecycle of collection, storage, processing, and visualization.

Course syllabus description:

Domain 1: Collection

  • 1.1 Determine the operational characteristics of the collection system

  • 1.2 Select a collection system that handles the frequency, volume, and source of data

  • 1.3 Select a collection system that addresses the key properties of data, such as order, format, and compression

Domain 2: Storage and Data Management

  • 2.1 Determine the operational characteristics of a storage solution for analytics

  • 2.2 Determine data access and retrieval patterns

  • 2.3 Select an appropriate data layout, schema, structure, and format

  • 2.4 Define a data lifecycle based on usage patterns and business requirements

  • 2.5 Determine an appropriate system for cataloging data and managing metadata

Domain 3: Processing

  • 3.1 Determine appropriate data processing solution requirements

  • 3.2 Design a solution for transforming and preparing data for analysis

  • 3.3 Automate and operationalize a data processing solution

Domain 4: Analysis and Visualization

  • 4.1 Determine the operational characteristics of an analysis and visualization solution

  • 4.2 Select the appropriate data analysis solution for a given scenario

  • 4.3 Select the appropriate data visualization solution for a given scenario

Domain 5: Security

  • 5.1 Select appropriate authentication and authorization mechanisms

  • 5.2 Apply data protection and encryption techniques

  • 5.3 Apply data governance and compliance controls

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