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

Exam Code: AWS-Certified-Big-Data-Specialty

Exam Name: AWS Certified Big Data - Specialty

Updated: Jul 19, 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:

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

Difficulty in writing AWS Certified Big Data - Specialty Exam

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.

Reference: https://aws.amazon.com/certification/certified-big-data-specialty/

AWS BDS-C00 Exam Certification Details:

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

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Steps for AWS Certified Big Data - Specialty Certifications Exam Booking

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

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Amazon AWS-Certified-Big-Data-Specialty Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Analysis and Visualization18%- Analytics and BI tools
  • 1. Redshift analytics and optimization
    • 2. Amazon QuickSight dashboards
      • 3. Amazon Athena SQL querying
        Topic 2: Collection18%- Data ingestion and collection mechanisms
        • 1. Kinesis Data Streams and Kinesis Data Firehose
          • 2. IoT data ingestion patterns
            • 3. AWS Glue streaming and batch ingestion
              Topic 3: Storage and Data Management22%- Data lake and storage design
              • 1. Data lifecycle management
                • 2. Amazon S3 data lake architecture
                  • 3. Partitioning and compression strategies
                    Topic 4: Security18%- Data security and governance
                    • 1. IAM roles and policies for analytics workloads
                      • 2. Data governance with AWS Lake Formation
                        • 3. Encryption using KMS
                          Topic 5: Processing24%- Data processing frameworks
                          • 1. Amazon EMR (Spark, Hadoop)
                            • 2. AWS Lambda for data processing
                              • 3. AWS Glue ETL jobs

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