Pass AWS Certified Big Data - Specialty Exam in First Attempt Guaranteed!
Get 100% Latest Exam Questions, Accurate & Verified Answers to
Pass the Actual Exam!
$20.00
AWS Certified Big Data - Specialty
$100.00
$120.00
- Premium 15 Questions & Answers. Last update: July 11, 2022
- AWS Certified Big Data - Specialty
AWS Certified Big Data - Specialty exam cover and Content
These are the five domains that covered in the AWS Certified Big Data - Specialty certification, along with the specific topics covered within each domain:
Storage
1. Determining data access and retrieval patterns
2. Evaluating mechanisms for capture, update, and retrieval of catalogue entries
3. Determining appropriate data structure and storage formats
4. Optimizing the operational characteristics of a Big Data storage solution
Data Processing Technologies
1. Identifying the appropriate data processing technologies for big data scenarios
2. Designing and architecting a data processing solution
3. Defining the operational characteristics of big data processing
4. Exploring and defining the various processing services available, including Amazon Kinesis, Elastic Map Reduce, and Amazon Rekognition
Data Analysis
1. Determining the tools and techniques required for data analysis
2. Designing and architecting an analytical solution
3. Optimizing the operational characteristics of the Analysis System using tools such as Amazon Athena and Kinesis
Data Visualization
1. Determining the appropriate techniques for delivering the results/output of a query or analysis
2. Designing and creating a visualization platform using AWS services
3. Optimizing visualization services to present results in an effective and accessible manner using Amazon Quicksight
Data Security
1. Determining encryption requirements
2. Implementing encryption services
3. Choosing the appropriate technology to enforce data governance
4. Ensuring data integrity while working with Big Data solutions
Storage
1. Determining data access and retrieval patterns
2. Evaluating mechanisms for capture, update, and retrieval of catalogue entries
3. Determining appropriate data structure and storage formats
4. Optimizing the operational characteristics of a Big Data storage solution
Data Processing Technologies
1. Identifying the appropriate data processing technologies for big data scenarios
2. Designing and architecting a data processing solution
3. Defining the operational characteristics of big data processing
4. Exploring and defining the various processing services available, including Amazon Kinesis, Elastic Map Reduce, and Amazon Rekognition
Data Analysis
1. Determining the tools and techniques required for data analysis
2. Designing and architecting an analytical solution
3. Optimizing the operational characteristics of the Analysis System using tools such as Amazon Athena and Kinesis
Data Visualization
1. Determining the appropriate techniques for delivering the results/output of a query or analysis
2. Designing and creating a visualization platform using AWS services
3. Optimizing visualization services to present results in an effective and accessible manner using Amazon Quicksight
Data Security
1. Determining encryption requirements
2. Implementing encryption services
3. Choosing the appropriate technology to enforce data governance
4. Ensuring data integrity while working with Big Data solutions