AWS Certified Big Data Specialty (BDS-C00)
AWS Big Data Exam updated to AWS Certified Data Analytics Specialty.
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 It has been replaced by the AWS Certified Data Analytics Specialty exam.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 current 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.
Once the candidate has realized a certification is a valuable investment in their career, then their next step is determining the type of certification and the vendor. Also, when it comes to Big Data certification, the candidate’s choices are about as numerous as the many fields of study in Big Data. So, we have made a list of Big Data certifications administered by some of the greatest names in the business: Hortonworks, IBM, Cloudera, MapR, and SAS. However, we are going to discuss the Certified Big Data Specialty exam in details.
AWS Certified Big Data Specialty Exam: An Overview
AWS Certified Big Data Specialty exam verifies the candidate’s expertise and technical skills and knowledge in outlining and implementing AWS services in status to obtain value from the possible data set. Also, It measures the candidate’s ability to administer AWS Big Data Services according to architecture applications. Further, the AWS BDS-C00 Exam is a Specialty level exam and it needs in-depth knowledge of data analytics theories.
Exam Details
Here, we are going to discuss some basic details about the AWS Certified Big Data Specialty exam. To begin with, the candidate will get 170 minutes to complete the AWS BDS-C00 Exam . Also, it will cost nearly 300 USD to a candidate and is available in the English, Japanese, Korean, and Simplified Chinese languages.
Requirements for the 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.
Abilities for AWS Certified Big Data Specialty exam
- Implementing core AWS Big Data assistance according to basic architecture best methods.
- Designing and maintaining Big Data.
- Leveraging tools to automate data interpretation.
Course Outline: AWS BDS-C00 exam
The course line has every relatable information regarding the AWS Certified Big Data Specialty exam in itself. And, the candidate can find the course outline on the official page of AWS. This course outline includes weightings, test domains, and objectives only. Let’s take a look at the domains and their subtopics of the AWS Certified Big Data Specialty exam.
Domain 1: Collection
- Determining the operational aspects of the collection system (AWS Documentation: AWS Systems Manager)
- Select a collection arrangement that handles the frequency of data conversion and the type of data being ingested. (AWS Documentation: Amazon Kinesis Data Firehose)
- Identifying the characteristics that need to be implemented by the collection system: order, metadata, data structure, etc. (AWS Documentation: Instance metadata and user data)
- Explaining the durability and availability features for the collection approach. (AWS Documentation: Amazon Web Services)
Domain 2: Storage
- Determining and optimizing the operational properties of the storage solution. (AWS Documentation: Storage, Amazon EC2 instance store)
- Managing data access and retrieval models. (AWS Documentation: Amazon S3)
- Estimating mechanisms for acquisition, and retrieval of catalogue entries. (AWS Documentation: Amazon Elastic Block Store (Amazon EBS))
- Determining proper data structure and storage arrangement. (AWS Documentation: Picking the Right Data Store for Your Workload)
Domain 3: Processing
- Identifying the relevant data processing technology for a given situation. (AWS Documentation: Data Privacy)
- Learning how to create and architect the data processing solution. (AWS Documentation: AWS Architecture Center)
- Determining the operational aspects of the solution performed. (AWS Documentation: the health of your operations, Systems Operations on AWS)
Domain 4: Analysis
- Defining the tools and techniques needed for analysis. (AWS Documentation: Analytics)
- Managing how to design and architect the analytical solution. (AWS Documentation: Category: Analytics, AWS Well-Architected)
- Discovering and optimizing the operational perspectives of the Analysis. (AWS Documentation: analysis for migration, migration with automation)
Domain 5: Visualization
- Fixing the appropriate techniques for delivering the results/output. (AWS Documentation: tuning techniques for Amazon Redshift)
- Learning how to design and create the Visualization platform. (AWS Documentation: Data Visualization)
- Preparing and optimizing the operational components of the Visualization system. (AWS Documentation: Amazon CloudWatch)
Domain 6: Data Security
- Devising encryption requirements and implementation of technologies. (AWS Documentation: AWS Key Management Service)
- Taking the appropriate technology to implement data governance. (AWS Documentation: Data governance in the age of regulation and compliance requirements)
- Identifying how to secure data integrity. (AWS Documentation: securing sensitive data in AWS data stores)
- Evaluating regulatory obligations. (AWS Documentation: Compliance and Security for Financial Services)
Exam Policies: AWS BDS-C00 Exam
AWS Certification provides exam policies to support the candidates by providing every detail related to the certification program. However, candidates during studying for the AWS BDS-C00 Exam should first go through and understand the AWS Certification exam policies. On this page, the candidates will get information about after the exam or before exam procedures. This includes the exam retaking process, rules to be followed during the exam time, and other information about the exams and its testing centres.
While preparing for the AWS BDS-C00 Exam you will be solely responsible for understanding and complying with AWS BDS-C00 Exam policies, together with the specified exam delivery provider’s policies and procedures.
For More Queries – Visit the AWS Certified Big Data FAQ Page
Preparatory Guide to qualify the AWS BDS-C00 exam
If the candidate has knowledge of both AWS and Big Data Analytics, then they are a pot of gold for recruiters and corporations looking for skilled and knowledgeable candidates. Also, with the AWS Certified Big Data Specialty exam, the candidate will not only get to improve their knowledge but also may get rewarded lavishly. To help such candidates 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 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. Although we have mentioned the domains in the course outline for making it quite easy, we are mentioning the objectives below:
- The collection (17%)
- Storage (17%)
- Processing (17%)
- Analysis (17%)
- Visualization (12%)
- Data security (20%)
Download the Exam Guide !
The official Exam Guide is a great start to begin the preparation for the AWS Certified Big Data Specialty exam. The exam guide gives the candidate a piece of complete information about the exam such as. prerequisites, exam overview, requirements, training resources, whitepapers, and exam blueprint. Further, this is highly prescribed to go through the exam guide at AWS website to start the preparation. Also, the candidate can download the exam guide from the AWS website.
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:
- Streaming Data Solutions on AWS with Amazon Kinesis.
- AWS Database Migration Service Best Practice.
- Big Data Analytics Options on AWS.
- 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. Although the number of questions is furthermore less, it is advised to have a look at these questions at least once.
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, but do not require, that individuals 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
The candidate also requires 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.
- Getting Started Guide: Analyzing Big Data with AWS by Amazon Web Services.
- 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, the candidate can also try free practise tests available here and thus helps themselves to find their weak areas and work on them.
Start preparing for the newly updated AWS Certified Data Analytics Specialty exam Now! Stay updated with the current changes.
AWS Certified Big Data Specialty Learning Resources
The AWS Certified Big Data – Specialty exam is for professionals who are engaged in conducting Big Data analytics using AWS technology. AWS Certified Cloud Practitioner exam is suitable for individuals with good knowledge and skills required to effectively demonstrate good understanding of the AWS Cloud, independent of specific technical roles addressed by other AWS Certifications.
AWS Certified Big Data Specialty Table of Contents
Domain 1: Collection
1.1 Determine the operational characteristics of the collection system
1.2 Select a collection system that handles the frequency of data change and type of data being ingested
1.3 Identify the properties that need to be enforced by the collection system: order, data structure,metadata, etc.
1.4 Explain the durability and availability characteristics for the collection approach
Domain 2: Storage
2.1 Determine and optimize the operational characteristics of the storage solution
2.2 Determine data access and retrieval patterns
2.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries
2.4 Determine appropriate data structure and storage format
Domain 3: Processing
3.1 Identify the appropriate data processing technology for a given scenario
3.2 Determine how to design and architect the data processing solution
3.3 Determine the operational characteristics of the solution implemented
Domain 4: Analysis
4.1 Determine the tools and techniques required for analysis
4.2 Determine how to design and architect the analytical solution
4.3 Determine and optimize the operational characteristics of the Analysis
Domain 5: Visualization
5.1 Determine the appropriate techniques for delivering the results/output
5.2 Determine how to design and create the Visualization platform
5.3 Determine and optimize the operational characteristics of the Visualization system
Domain 6: Data Security
6.1 Determine encryption requirements and/or implementation technologies
6.2 Choose the appropriate technology to enforce data governance
6.3 Identify how to ensure data integrity
6.4 Evaluate regulatory requirements