AWS Big Data Specialty Certification Exam Syllabus

BDS-C00 Dumps Questions, BDS-C00 PDF, Big Data Specialty Exam Questions PDF, AWS BDS-C00 Dumps Free, Big Data Specialty Official Cert Guide PDFThe AWS BDS-C00 exam preparation guide is designed to provide candidates with necessary information about the Big Data Specialty exam. It includes exam summary, sample questions, practice test, objectives and ways to interpret the exam objectives to enable candidates to assess the types of questions-answers that may be asked during the AWS Certified Big Data - Specialty exam.

It is recommended for all the candidates to refer the BDS-C00 objectives and sample questions provided in this preparation guide. The AWS Big Data Specialty certification is mainly targeted to the candidates who want to build their career in Specialty domain and demonstrate their expertise. We suggest you to use practice exam listed in this cert guide to get used to with exam environment and identify the knowledge areas where you need more work prior to taking the actual AWS Certified Big Data - Specialty exam.

AWS BDS-C00 Exam Summary:

Exam Name
AWS Certified Big Data - Specialty (Big Data Specialty)
Exam Code BDS-C00
Exam Price $300 USD
Duration 170 minutes
Number of Questions 65
Passing Score 750 / 1000
Schedule Exam PEARSON VUE
Sample Questions AWS BDS-C00 Sample Questions
Recommended Practice AWS Certified Big Data - Specialty Practice Test

AWS Big Data Specialty Syllabus:

Section Objectives Weight
Collection - Determine the operational characteristics of the collection system
- Select a collection system that handles the frequency of data change and type of data being ingested
- Identify the properties that need to be enforced by the collection system: order, data structure, metadata, etc.
- Explain the durability and availability characteristics for the collection approach
17%
Storage - Determine and optimize the operational characteristics of the storage solution
- Determine data access and retrieval patterns
- Evaluate mechanisms for capture, update, and retrieval of catalog entries
- Determine appropriate data structure and storage format
17%
Processing - Identify the appropriate data processing technology for a given scenario
- Determine how to design and architect the data processing solution
- Determine the operational characteristics of the solution implemented
17%
Analysis - Determine the tools and techniques required for analysis
- Determine how to design and architect the analytical solution
- Determine and optimize the operational characteristics of the Analysis
17%
Visualization - Determine the appropriate techniques for delivering the results/output
- Determine how to design and create the Visualization platform
- Determine and optimize the operational characteristics of the Visualization system
12%
Data Security - Determine encryption requirements and/or implementation technologies
- Choose the appropriate technology to enforce data governance
- Identify how to ensure data integrity
- Evaluate regulatory requirements
20%
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