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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:
- Analysis 17%
- Collection 17%
- Processing 17%
- Storage 17%
- Data Security 20%
- Visualization 12%
Reference: https://aws.amazon.com/certification/certified-big-data-specialty/
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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.
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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:
- Design and implementation of Amazon S3
- Implementation of Kinesis Firehose and Kinesis Stream
- Data Pipelines and Security Services
- Data Analysis using Redshift
- Design and Implementation of Amazon DynamoDB
- IOT Rules and Machine Learning
- Business Analytics Service - Quicksight
Amazon AWS-Big-Data-Specialty Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Domain 3: Data Processing | 17% | - Optimize processing performance and cost efficiency - Determine operational characteristics of processing systems - Select appropriate processing frameworks and services - Design and architect data processing solutions |
| Topic 2: Domain 6: Data Security | 20% | - Apply security best practices for big data workloads - Ensure data integrity and compliance - Determine encryption requirements and methods - Implement data governance and access control |
| Topic 3: Domain 2: Data Storage | 17% | - Choose appropriate data structures and storage formats - Identify data access and retrieval patterns - Determine and optimize operational characteristics of storage solutions - Evaluate mechanisms for cataloging and metadata management |
| Topic 4: Domain 4: Data Analysis | 17% | - Design and architect analytical solutions - Optimize query performance and analysis workflows - Determine tools and techniques for analysis - Implement analytical operations and transformations |
| Topic 5: Domain 1: Data Collection | 17% | - Describe availability and durability of collection methods - Select appropriate collection systems based on data type and frequency - Identify properties including order, structure, and metadata - Determine operational characteristics of collection systems |
| Topic 6: Domain 5: Data Visualization | 12% | - Ensure accessibility and clarity of presented results - Determine appropriate visualization techniques and tools - Design and build visualization platforms and dashboards - Optimize operational characteristics of visualization systems |
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