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:
- Data Pipelines and Security Services
- Implementation of Kinesis Firehose and Kinesis Stream
- Data Analysis using Redshift
- Business Analytics Service - Quicksight
- Design and implementation of Amazon S3
- IOT Rules and Machine Learning
- Design and Implementation of Amazon DynamoDB
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The AWS Certified Big Data Specialty exam is one of the toughest exams and it requires you a lot of hands-on experience. It is advisable to have prior knowledge of Big Data technologies on AWS. The more experience you have, the more it is beneficial for you, Major challenging things which you can find in exam is about different scenario based questions, you must have strong understanding of Big Data.
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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% |
| 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% |
| 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% |
| 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% |
| 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% |
AWS Certified Big Data - Specialty Exam Overview
AWS Certified Big Data - Specialty Exam Overview:
- Passing Score: 75-80%
- Length of Examination: 170 minutes
- Registration Fee: 300 USD
- Format: Multiple choice, multiple answer
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