AWS introduces new certifications to validate the skills of candidates in new AWS technologies. The AWS Certified Big Data Specialty exam has expired. It has been replaced by the AWS Certified Data Analytics Specialty exam. You must stay updated with latest changes to reach new heights in your career.
The AWS Certified Big Data Specialty exam (BDS-C00) is intended for the individuals who implement complex big data analyses. The exam verifies an examinee’s technical abilities and experience in designing and executing AWS services to receive value from data. First of all, AWS certifications are one of the most sought-after certifications in the Information Technology (IT) industry now. Further, with the number of businesses, small and big leading to the cloud, the market for AWS cloud is evolving continuously. Moreover, AWS has launched a number of certifications encompassing from Associate level to Specialty level. As, both Big Data and AWS are very regarded skills in the IT business. Carrying up the AWS Certified Big Data Specialty exam will show as a golden ticket for one’s career to launch to the greater levels.
Requirements for the AWS Certified Big Data Specialty Exam
- Firstly, a minimum of 2 years of expertise in managing AWS technologies.
- Secondly, at least 5 years of expertise in Big Data Analytics.
- Further, significant knowledge and experience of working with AWS security systems.
- Moreover, knowledge of how to obtain control to guard the data
- Also, knowledge of AWS assistance and architecture, and how to integrate them with each other.
- Nonetheless, the ability to create a cost-effective and scalable architecture to process data.
The AWS Certified Big Data Specialty exam certifies technical skills and participation in progressing and implementing AWS assistance to derive value from data. Further, this is a difficult exam and requires the candidates to have at least 2 or more years of hands-on practice.
Skills Acquired
- Firstly, Implementing core AWS Big Data assistance according to basic architecture best methods.
- Secondly, Designing and maintaining Big Data.
- Also, Leveraging tools to automate data interpretation.
Study Guide for AWS Certified Big Data Specialty Exam
If you have knowledge of both AWS and Big Data Analytics, then you are a pot of gold for recruiters and corporations looking for skilled and knowledgeable candidates. Also, with the AWS Certified Big Data Specialty exam, you will not only get to improve their knowledge but also may get rewarded lavishly. To help you get ahead in their career, we are presenting a complete preparation guide for the AWS Certified Big Data Specialty exam. So, let’s begin with:
Review all Exam Objectives
Most importantly, it is required to know the exam objectives first. The candidate needs to learn all the domains of objectives in order to successfully pass the AWS Certified Big Data Specialty exam. This exam covers the following 6 domains:
Domain 1: Collection
This domain focuses on determining the operational aspects of the collection system. Also, select a collection arrangement that handles the frequency of data conversion and the type of data being ingested. Further identifying the characteristics that need to be implemented by the collection system: order, metadata, data structure, etc. Also, explaining the durability and availability features for the collection approach.
Domain 2: Storage
Further this domain includes determining and optimizing the operational properties of the storage solution. Managing data access and retrieval models and estimating mechanisms for acquisition, and retrieval of catalogue entries. Also, determining proper data structure and storage arrangement.
Domain 3: Processing
This domain covers identifying the relevant data processing technology for a given situation. Also, learning how to create and architect the data processing solution. Further determining the operational aspects of the solution performed.
Domain 4: Analysis
In this domain concepts like defining the tools and techniques needed for analysis, managing how to design and architect the analytical solution are covered. Moreover, discovering and optimizing the operational perspectives of the Analysis.
Domain 5: Visualization
Moreover, this domain includes fixing the appropriate techniques for delivering the results/output. Learning how to design and create the Visualization platform. Also, preparing and optimizing the operational components of the Visualization system.
Domain 6: Data Security
Firstly, this domain includes the devising encryption requirements and implementation of technologies. Also, taking the appropriate technology to implement data governance. Further, identifying how to secure data integrity and evaluating regulatory obligations.
AWS Official Resources
The official resources for the AWS Certified Big Data Specialty exam include whitepapers, sample questions, documentation etc. The Amazon Web Services documentation is a total set of information about the settings from introductory to advanced level. Also, AWS approved white papers are a great reference of knowledge for the candidate. Make good usage of them and read them completely. Some of the recommended whitepapers are:
- Firstly, Streaming Data Solutions on AWS with Amazon Kinesis.
- Secondly, AWS Database Migration Service Best Practice.
- Then, Big Data Analytics Options on AWS.
- Also, Migrating Applications to AWS: Guide and Best Practices.
Further, AWS itself is intended to prepare the candidate for the certification exam and thus offers a set of 10 sample questions. Of course, these questions will help the candidate to understand which type of questions they may get in the AWS Certified Big Data Specialty exam.
AWS Learning Path
This learning path is designed for individuals who design and implement AWS services to derive value from data. Learn about the collection, ingestion, storage, processing, and visualization. Become AWS Certified to validate the skills you’ve learned.
For best results, we recommend that you have technical AWS Cloud experience related to data analytics before beginning this learning path
Training Programs and Courses
The training programs and online courses will also help in the preparation of the AWS BDS-C00 Exam. If the candidate is not that good at reading whitepapers and documentation, then this step will be of great help for them. Training programs will make the candidate understand the topics they need to study when they are preparing for the exam. The internet is a pool of such training programs and course and the candidate can sign up for that. Also, the candidate can find some training videos on the AWS website. Further, the training will lay a strong base for the candidate to start preparing for the AWS Certified Big Data Specialty exam. However, there are a number of online certification training providers, the candidate can choose one of them for online training.
Books and Study Material
You also require to find good books and study materials as they can help the candidate throughout their preparation. However, we are listing down some books which the candidate can refer to:
- AWS Certified Big Data Specialty: Ultimate Certification Practice Guide by Get Ahead.
- AWS Certified Big Data – Specialty: Technology Workbook by IP Specialist.
- Big Data Analytics Options on AWS (AWS Whitepaper) by AWS Whitepapers.
- Practical Big Data Analytics: Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL January 15, 2018, by Nataraj Dasgupta.
Practice Tests and Exam Simulators
The more experience the candidate has, the more it is beneficial for them. In general, there are a lot of practice tests available online. The candidate can take up these tests from one of the best providers. Further, the candidate will get an idea of how the questions will be asked in the real exam. Also, practise test simulator gives the candidate a real-time experience of taking the AWS Certified Big Data Specialty exam. In addition, you can also try free practise tests available here and thus helps themselves to find their weak areas and work on them.
