How can I get AWS BigData Certified Specialty?

What is the AWS Certified Big Data – Specialty certification?

AWS certifications are split into nine sub-groups. Big Data is one of the vendor’s three Specialty certifications—the others being Advanced Networking, and Security.
As the name suggests, this badge covers all things related to big data analysis on AWS, and is aimed at professionals who’re responsible for running intricate Big Data analysis.
Broadly, the certification validates your ability to implement AWS Big Data services, design and maintain Big Data infrastructure, and take advantage of AWS tools to automate parts of the analytical process.
The exam is a multiple-choice, multiple-answer test, and you have 170 minutes to complete it. You’ll need to go to a local testing center to take it.
The AWS Certified Big Data – Specialty certification needs to be renewed every three years.

What are the prerequisites for the AWS Certified Big Data – Specialty certification?

There are no prerequisites required to sit for the AWS Certified Big Data – Specialty certification.
Ideally, you’ll have at least two years of hands-on experience with AWS products under your belt before you take a run at the exam, but you don’t need to have passed any other exams.
Previously, candidates for the AWS Certified Big Data – Specialty certification would’ve had to have earned a Cloud Practitioner or Associate certification before pursuing a Specialty badge. However, in the interest of providing maximum flexibility and leveling the playing field for AWS professionals, AWS removed all existing prerequisites in late 2018.

Where Can I get material for AWS CERTIFIED BIGDATA SPECIALTY?

awslagi.com is the best resource for your preparation. We are providing real AWS BIGDATA QUESTIONS. Quite easily to help you pass AWS CERTIFIED BIGDATA EXAM.


How much does the AWS Certified Big Data – Specialty certification cost?

The exam itself costs $300 to sit. There’s no discount for retakes; every attempt costs the same. If you do need to re-sit, you have to wait 14 days to try again, but you’ll find out immediately whether or not you’ve passed.
Once you’ve passed an exam and become AWS certified, you can get a 50% discount on another exam or recertification, as well as a free practice exam voucher to help you land your next badge.
There are certain situations, however, in which you can land a discount. If you’re a qualifying US veteran covered by a GI Bill with an education provision, you can apply for a reimbursement for the cost of AWS Certification exams. You’ll have to pay for your exam upfront, but you’ll then be able to submit a VA application to have the cost covered.

What kind of questions will I be asked in the exam?

Big Data is no small topic. There are a whole host of data storage, management, and analytical tools available on AWS, so the list of subjects covered in the exam is sizable.
Roughly speaking, you’ll be expected to be able to define and architect AWS Big Data services, and explain where they fit into the overarching data lifecycle from collection to ingestion, storage, processing, and visualization. It’s not all theoretical knowledge either; your ability to design scalable and cost-effective data processing solutions will also be tested.

AWS publishes a few sample questions so you can get a feel for the way exam questions are delivered.
The exam is split into six knowledge domains, each taking up between 10-20% of the exam:
  • Collection 17%
  • Storage 17%
  • Processing 17%
  • Analysis 17%
  • Visualization 12%
  • Data Security 20%
Make sure you know how to make the most of products such as those listed below, which are known to make an appearance on the AWS Certified Big Data – Specialty certification examination.
  • Kinesis Firehose and Kinesis Stream
  • Amazon S3
  • DynamoDB
  • Quicksight
  • Redshift
  • Glacier
  • Athena/Glue
  • EMR
  • Lambda
  • ElasticSearch
Broader topics you’ll need to have a good grasp of include:
  • Data Visualization
  • IoT
  • Machine Learning
  • Security
  • Data Pipeline















Nhận xét

Đăng nhận xét