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AWS Certified Big Data - Specialty Exam validates technical expertise in developing and maintaining Big Data based applications
AWS Certified Big Data - Specialty Exam been designed in order to test expertise and technical knowledge in designing and implementing AWS services in order to obtain value from the available data set. It examines the candidate's ability to execute AWS Big Data Services according to architecture practices. The AWS Certified Big Data-Specialty is a Specialty level exam and it requires in-depth knowledge of data analytics concepts, before you go ahead and write this certification you must require some prerequisites i.e. AWS Certified Cloud Practitioner or an Associate-level AWS Certification and Two or more years of hands-on experience performing complex big data analyses on AWS
AWS has introduced a number of certifications ranging from Associate level to Specialty level. Our AWS Certified Big Data - Specialty Dumps Exam Test Paper been well formatted covering all the following contents in depth:
- Implementation of Kinesis Firehose and Kinesis Stream
- IOT Rules and Machine Learning
- Design and Implementation of Amazon DynamoDB
- Design and implementation of Amazon S3
- Data Analysis using Redshift
- Business Analytics Service - Quicksight
- Data Pipelines and Security Services
Reference: https://aws.amazon.com/certification/certified-big-data-specialty/
AWS BDS-C00 Exam Certification Details:
| Number of Questions | 65 |
| Sample Questions | AWS BDS-C00 Sample Questions |
| Exam Code | BDS-C00 |
| Passing Score | 750 / 1000 |
| Exam Price | $300 USD |
| Exam Name | AWS Certified Big Data - Specialty (Big Data Specialty) |
| Schedule Exam | PEARSON VUE |
| Duration | 170 minutes |
AWS Big Data Specialty Exam Syllabus Topics:
| Section | Objectives | Weight |
|---|---|---|
| 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% |
| 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% |
| 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% |
| 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% |
| 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% |
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AWS Certified Big Data - Specialty Dumps will include below mentioned topics with Exam focused percentage
AWS Certified Big Data - Specialty Dumps will include below mentioned topics with Exam focused percentage:
- Data Security 20%
- Processing 17%
- Collection 17%
- Analysis 17%
- Storage 17%
- Visualization 12%
