Amazon AWS Certified Big Data - Specialty : AWS-Big-Data-Specialty

  • Exam Code: AWS-Big-Data-Specialty
  • Exam Name: AWS Certified Big Data - Specialty
  • Updated: May 28, 2026
  • Q & A: 262 Questions and Answers

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Steps for AWS Certified Big Data - Specialty Certifications Exam Booking
  • Visit to website https://www.aws.training
  • Select Date and Center of examination and confirm with payment value of 300$
  • Search for AWS Certified Big Data - Specialty Certifications Exam
  • Signup/Login to AWS account

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AWS BDS-C00 Exam Certification Details:
Passing Score750 / 1000
Number of Questions65
Schedule ExamPEARSON VUE
Exam Price$300 USD
Duration170 minutes
Sample QuestionsAWS BDS-C00 Sample Questions
Exam CodeBDS-C00
Exam NameAWS Certified Big Data - Specialty (Big Data Specialty)

Reference: https://d1.awsstatic.com/training-and-certification/docs-bigdata-spec/AWS%20Certified%20Big%20Data%20-%20Specialty_Exam%20Guide_v1.4_FINAL.pdf

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:

  • IOT Rules and Machine Learning
  • Design and implementation of Amazon S3
  • Business Analytics Service - Quicksight
  • Design and Implementation of Amazon DynamoDB
  • Implementation of Kinesis Firehose and Kinesis Stream
  • Data Pipelines and Security Services
  • Data Analysis using Redshift

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