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Amazon AWS-Certified-Big-Data-Specialty Korean real answers - AWS Certified Big Data - Specialty (AWS-Certified-Big-Data-Specialty Korean Version)

AWS-Certified-Big-Data-Specialty Korean
  • Exam Code: AWS-Certified-Big-Data-Specialty-KR
  • Exam Name: AWS Certified Big Data - Specialty (AWS-Certified-Big-Data-Specialty Korean Version)
  • Updated: Jun 01, 2026
  • Q & A: 262 Questions and Answers
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AWS Certified Big Data - Specialty Exam Overview

AWS Certified Big Data - Specialty Exam Overview:

  • Length of Examination: 170 minutes
  • Registration Fee: 300 USD
  • Passing Score: 75-80%
  • Format: Multiple choice, multiple answer

AWS BDS-C00 Exam Certification Details:

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

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

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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:

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

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