Rating 0 out of 5 (0 ratings in Udemy)
What you'll learn- These practice tests help you with Self-Study and Self-Assessment in Exam.
- These practice tests helps you check your Knowledge and upgrade your skills.
- Be in a better position in taking the AWS Certified Data Analytics Specialty DAS-C01 exam
- Detailed Explanations to each questions
DescriptionExam Details:
The AWS Certified Data Analytics - Specialty (DAS-C01) examination is intended for individuals who perform in a data …
Rating 0 out of 5 (0 ratings in Udemy)
What you'll learn- These practice tests help you with Self-Study and Self-Assessment in Exam.
- These practice tests helps you check your Knowledge and upgrade your skills.
- Be in a better position in taking the AWS Certified Data Analytics Specialty DAS-C01 exam
- Detailed Explanations to each questions
DescriptionExam 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