How to prepare for the AWS Certified Big Data Specialty exam. Blog

AWS introduces new certifications that validate the skills of candidates for new AWS technologies. The AWS Certified Big Data Specialty exam is now expired. It has been replaced with the AWS Certified Data Analytics Specialty test. To reach new heights in your career, you must keep up to date with the latest changes.
The AWS Certified Big Data Specialty exam, BDS-C00, is for individuals who use big data analysis to solve complex problems. This exam certifies the examinee’s technical skills and experience in using AWS services to extract value from data. AWS certifications are a highly sought-after certification in the Information Technology (IT). AWS cloud market is constantly evolving due to the increasing number of small and large businesses moving to the cloud. AWS offers a variety of certifications, ranging from Associate to Specialist level. Both AWS and Big Data are highly valued skills in the IT industry. The AWS Certified Big Data Specialty exam is a great way to get your career off to a better start.
Once the candidate has decided that a certification is a good investment in their career, the next step is to choose the type of certification and the vendor. The candidate has as many options as there are Big Data certifications. We have compiled a list of Big Data certifications that are administered by some of the most respected names in Big Data: IBM, Cloudera and MapR. We will discuss the Certified Big Data Specialty exam.
AWS Certified Big Data Specialty exam.
The AWS Certified Big Data Specialty exam measures the candidate’s technical skills and knowledge in implementing AWS services in a way that maximizes the data set. It also measures the candidate’s ability and knowledge to use AWS Big Data Services according architecture applications. AWS Certified Big Data Specialty exam requires in-depth knowledge about data analytics theories.
Exam Details
We will be discussing some basics about the AWS Certified Big Data Specialty exam. The exam will take 170 minutes. It will cost candidates nearly 300 USD and is available in English, Japanese, Korean and Simplified Chinese languages.
Exam Requirements
First, at least 2 years’ experience in managing AWS technologies.
Secondly, at minimum 5 years of experience in Big Data Analytics.
Additional knowledge and experience in working with AWS security system is also a plus.
Furthermore, it is important to know how to control the data to protect it
Knowledge of AWS architecture and assistance, and how to integrate them together.
However, it is possible to create a cost-effective, scalable architecture to process data.
The AWS Certified Big Data Specialty exam certifies technical skills as well as participation in implementing AWS assistance to derive data value. This exam is difficult and requires candidates to have at minimum 2 years of practical experience.
Abilities for the AWS Certified Big Data Specialty Exam
Implementing core AWS Big Data assistance in accordance with best practices of basic architecture
Designing and maintaining big data.
Automate data interpretation with leverage tools
Course outline
The course outline contains all relevant information about the AWS Certified Big Data Specialty exam. The official AWS page contains the course outline. This outline only includes weightings, test domains, objectives, and other information. Let’s take an in-depth look at the topics and domains covered in the AWS Certified Big Data Specialty exam.
Domain 1: Collection
First, determining the operational aspects for the collection system
Next, choose a collection arrangement that will handle the frequency of data conversion as well as the type of data being ingested.
Also, identify the characteristics that must be implemented by the collection systems: order, metadata and data structure, etc.
Furthermore, the collection approach will explain the durability and availability features.
Domain 2: Storage
Optimizing and determining the operational properties of the storage system.
Management of data access and retrieval models.
Then, the estimating mechanisms for acquisition and retrieval of catalog entries.
Further, it is important to determine the right data structure and storage arrangement.
Domain 3: Processing
Identify the appropriate data processing technology to address a given situation.
Next, learn how to design and architect the data processing system.
Also, the operation aspects of the solution were determined.
Domain 4 Analysis
Identifying the tools and techniques required for analysis.
Furthermore, it is important to know how to design and architect an analytical solution.
Furthermore, optimizing and discovering operational perspectives for the Analysis.
Domain 5: Visualization
Implementing the right techniques to deliver the desired results.
It is important to learn how to create and design the Visualization platform.
The next step is to prepare and optimize the operational components for the Visualization system.
Domain 6: Data Security
Implementation of technology and the formulation of encryption requirements
It is also important to use the right technology to implement data governance.
This is how you can ensure data integrity.
Additionally, you can evaluate regulatory obligations.
Preparatory Guide
Candidates who have knowledge of both AWS Analytics and Big Data Analytics are a gold mine for corporations and recruiters looking for qualified candidates. The AWS Certified Big Data Specialty exam will allow the candidate to expand their knowledge and may be rewarded.