AWS Certified Big Data Specialty Check Sheet – Blog

AWS offers new certifications to validate your skills as a result of the technology updates. The AWS Certified Big Data Specialty exam is now over. It has been replaced with the AWS Certified Data Analytics Specialty examination. To reach new heights in your career, you must keep up to date with the latest changes.
This cheat sheet will give you a quick overview of the AWS Certified Big Data Specialty exam. AWS is a well-known cloud platform that has maintained its position in the cloud world. AWS Certified Big Data Specialty certification has become a highly recommended credential in today’s job market. However, this certification has also increased the difficulty of exam, as it has increased competition. The best way to pass the exam is to have the most advanced skills and knowledge, along with the right study resources.
There is no reason to be worried! We have all the information you need. This cheat sheet will provide all the necessary information and the best sources to help you pass the AWS exam. Let’s get started.
AWS Certified Big Data Specialty: Overview
The AWS Certified Big Data Specialty exam, BDS-C00, is for individuals who use big data analysis to solve complex problems. The exam certifies technical skills and experience in designing and executing AWS service to extract value from data. The exam also measures your ability to manage AWS Big Data Services according architecture applications.
Let’s also note that there are certain requirements for the AWS BDS–C00 Exam.
Exam Requirements
First, at least 2 years’ experience in managing AWS technologies.
Secondly, at minimum 5 years of experience in Big Data Analytics.
A third factor is significant experience and knowledge in working with AWS security system.
Next, the ability to control and protect data
Knowledge of AWS architecture and assistance, and how to integrate them together.
The ability to create an efficient and scalable architecture for processing data.
It is important to know that AWS validates the ability to pass the AWS Certified Big Data Specialty exam. This includes:
First, implement core AWS Big Data assistance in accordance with best practices of basic architecture.
Secondly, designing and maintaining Big Data.
Finally, in using tools to automate data analysis.
Quick Cheat Sheet for AWS Certified Big Data Specialty
You can achieve your goal if you have both AWS and Big Data Analytics knowledge. The AWS Certified Big Data Specialty exam will allow you to not only improve your knowledge, but also earn lavish rewards. To pass this exam, it is crucial to find the best exam preparation materials. Let’s take a look at the most important exam resources and get started with the preparation.
Learn the exam topics
It is important to understand and familiarize yourself with the main objectives of AWS Certified Big Data Specialty exam. Understanding the exam objectives will give you a better understanding of the exam. A thorough study of the exam guide will help you to align yourself with the main objectives of the exam. You will also be able review and mark difficult topics and sections. The following list outlines the topics included in this exam:
Domain 1: Collection
Determining the operational aspects for the collection system (AWS Documentation :AWS Systems Manager).
Choose a collection arrangement that is able to handle the frequency of data conversions and the type of data being ingested. (AWS Documentation.Amazon Kinesis Data Firehose).
Identifying the characteristics that must be implemented by the collection systems: order, metadata and data structure. (AWS Documentation:Instance metadata and user data)
Explaining the durability features and availability features of the collection approach. (AWS Documentation:Amazon Web Services).
Domain 2: Storage
Optimizing the operational properties of the storage system. (AWS Documentation:Storage,Amazon EC2 instance store)
Managing data access and retrieval. (AWS Documentation:Amazon S3)
Estimating the acquisition and retrieval mechanisms of catalogue entries. (AWS Documentation -Amazon Elastic Block Store (Amazon EBS).)
Choosing the right data structure and storage arrangement. (AWS Documentation:Picking the Right Data Store for Your Workload)
Domain 3: Processing
Identifying the appropriate data processing technology in a given situation. (AWS Documentation:Data Privacy)
Learn how to design and architect data processing solutions. (AWS Documentation:AWS Architecture Center)
Operational aspects of the solution are determined. (AWS Documentation: the health of your operations,Systems Operation on AWS)
Domain 4 Analysis
Identifying the tools and techniques required for analysis. (AWS Documentation:Analytics)
How to manage the design and architecture of an analytical solution. (AWS Documentation:Category: Analytics,AWS Well-Architected)
Optimizing the operational perspectives of the Analysis. (AWS Documentation:analysis for migration,migration with automation)
Domain 5: Visualization
Correcting the correct techniques to deliver the output. (AWS Documentation – tuning techniques for Amazon Redshift
Learn how to design and build the Visualization platform. (AWS Documentation:Data Visualization)
Preparing and optimizing operational components of the Visualization System. (AWS Documentation:Amazon CloudWatch)
Domain 6: Data Security
Designing encryption requirements and implementing technologies. (AWS Documentation:AWS Key Management Service).
Implementing data governance requires the use of the right technology. (AWS Documentation – Data governance in the age regulation and compliance requirements
How to identify how to secu