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

AWS-Certified-Big-Data-Specialty real exams

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

Exam Name: AWS Certified Big Data - Specialty

Updated: Jul 17, 2026

Q & A: 262 Questions and Answers

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AWS Big Data Specialty Exam Syllabus Topics:

SectionObjectivesWeight
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%
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%
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%
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%
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%
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%

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

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

SectionWeightObjectives
Storage17%- Data storage solutions
  • 1. S3 data lake design principles
    • 2. NoSQL and data warehouse storage options
      Processing17%- Data processing frameworks
      • 1. Distributed processing with EMR and Hadoop ecosystem
        • 2. Serverless processing workflows
          Collection17%- Data ingestion mechanisms
          • 1. Batch data ingestion from relational and non-relational sources
            • 2. Real-time data ingestion with streaming services
              Visualization12%- Data visualization tools
              • 1. Business intelligence dashboards
                • 2. Reporting and visualization using AWS and third-party tools
                  Analysis17%- Data analysis and querying
                  • 1. Interactive querying using Athena and similar services
                    • 2. Data transformation and analytics pipelines
                      Security20%- Data security and governance
                      • 1. Compliance and data governance practices
                        • 2. Encryption at rest and in transit
                          • 3. IAM roles and access control for data services
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