Exam Name: AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty日本語版)
Certification Provider: Amazon
Corresponding Certification: AWS Certified Big Data
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Updated: Jul 23, 2026
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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:
- Data Pipelines and Security Services
- IOT Rules and Machine Learning
- Implementation of Kinesis Firehose and Kinesis Stream
- Design and Implementation of Amazon DynamoDB
- Data Analysis using Redshift
- Business Analytics Service - Quicksight
- Design and implementation of Amazon S3
Reference: https://aws.amazon.com/certification/certified-big-data-specialty/
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Steps for AWS Certified Big Data - Specialty Certifications Exam Booking
- Signup/Login to AWS account
- Select Date and Center of examination and confirm with payment value of 300$
- Search for AWS Certified Big Data - Specialty Certifications Exam
- Visit to website https://www.aws.training
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Amazon AWS-Big-Data-Specialty日本語 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Collection | 17% | - Data Collection Systems
|
| Topic 2: Storage and Data Management | 17% | - Data Storage Solutions
|
| Topic 3: Analysis and Visualization | 17% | - Analytics Services
|
| Topic 4: Processing | 17% | - Data Processing Frameworks
|
| Topic 5: Security | 32% | - Data Protection and Governance
|
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