Amazon AWS-Big-Data-Specialty日本語 : AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty日本語版)

AWS-Big-Data-Specialty日本語 real exams

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

Exam Name: AWS Certified Big Data - Specialty (AWS-Big-Data-Specialty日本語版)

Updated: Jun 01, 2026

Q & A: 262 Questions and Answers

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AWS Certified Big Data - Specialty Exam Dumps Provided Study Notes

Prep4pass expert team recommend you to prepare some notes on these topics alongwith it don't forget to practice AWS Certified Big Data - Specialty Exam Dumps which been written by our expert team.

Both these will help you a lot to clear this exam with good grace.

- Kinesis Firehose and Kinesis Stream: Kinesis firehose and Kinesis stream are big data terms associated with streaming real time data to destinations such as S3, ES and spunk. You would require to know the importance of Kinesis and combining it with Lambda. Also learn where the Firehose will unload the content. Also understand why kinesis ingestion is better. Learn features offered by KCL and KPL. Also understand when to use them to send/receive data.

- S3: Amazon S3 is storage for internet: It is a simple web service interface which is used to store and retrieve data anywhere anytime. You would require to know how to use S3 buckets, when to use S3 standards and S3 glacier.

- DynamoDB: DymanoDB is a NoSQL database services for all application that need consistent, single digit millisecond latency at any scale. Study the right use case for DymanoDB. How to design LSI and GSI. You might get asked about key optimization.

- Quicksight: It is a fast cloud-powered business analytics service. You may be asked a question on virtual representation with Quicksight.

- Redshift: AWS redshift is a fast, fully managed data warehouse which helps you analyze your data using SQL and BI. You will need to know how to load data using Redshift. You will need to understand the overall architecture. Leader, node slices, compute node. Redshift is an important topic and you would require to know the importance of the COPY command. Also to migrate data using UNLOAD command. Tuning performance use right sort key. At least one question on loading data in Redshift is asked. For this you should know what slices are and instances.

- IoT: The questions will be asked mixed with topics like as DynamoDB and Kinesis Stream. You will require knowledge of IoT rules, Device Registry, Device Gateway, Device Shadow, etc.

- Machine Learning: Knowledge of which types of models are by AWS Machine learning. Also understand when to select right model for specific business requirements and scenarios.

- Security: IAM roles, data encryption for S3, Redshift and DynamoDB, HSM.

- Data Pipeline: Some questions will be asked on Data pipeline, Data Pipeline and Lambda and when to us it. Questions on backup, restore data into other AWS regions.

Benefits of having AWS Certified Big Data - Specialty Certifications

The brand new AWS Big Data - Specialty certification will not only help you learn some new skills, it can position you for a higher paying job or help you transform your current role into a Big Data and Analytics professional. Get prepared to take this exam and become one of the very first AWS Big Data Certified professionals in the world using our AWS Certified Big Data - Specialty Exam Dumps

AWS Certified Big Data - Specialty Dumps will include below mentioned topics with Exam focused percentage

AWS Certified Big Data - Specialty Dumps will include below mentioned topics with Exam focused percentage:

  • Data Security 20%
  • Collection 17%
  • Visualization 12%
  • Storage 17%
  • Processing 17%
  • Analysis 17%

Amazon AWS-Big-Data-Specialty日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Determine And Optimize The Operational Characteristics Of The Analysis
  • Evaluate Regulatory Requirements
Topic 2
  • Determine And Optimize The Operational Characteristics Of The Storage Solution
Topic 3
  • Explain The Durability And Availability Characteristics For The Collection Approach
Topic 4
  • Identify The Appropriate Data Processing Technology For A Given Scenario
Topic 5
  • Choose The Appropriate Technology To Enforce Data Governance
  • Determine How To Design And Architect The Analytical Solution
Topic 6
  • Determine The Appropriate Techniques For Delivering The Results
  • Output
Topic 7
  • Identify The Properties That Need To Be Enforced By The Collection System: Order, Data Structure, Metadata, Etc
Topic 8
  • Determine Encryption Requirements And
  • Or Implementation Technologies
  • Identify How To Ensure Data Integrity
Topic 9
  • Determine The Operational Characteristics Of The Collection System
  • Determine The Tools And Techniques Required For Analysis
Topic 10
  • Determine The Operational Characteristics Of The Solution Implemented
  • Determine How To Design And Create The Visualization Platform
Topic 11
  • Determine Appropriate Data Structure And Storage Format
  • Determine Data Access And Retrieval Patterns
Topic 12
  • Select A Collection System That Handles The Frequency Of Data Change And Type Of Data Being Ingested
Topic 13
  • Determine And Optimize The Operational Characteristics Of The Visualization System

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

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