The 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% |