2 min read

Last week (on 11th October), the AWS team announced that they are removing the exam-prerequisites to give users more flexibility on the AWS Certification Program.

Previously, it was a prerequisite for a customer to pass the foundational or Associate level exam before appearing for the Professional or Specialty certification. AWS has now eliminated this prerequisite, taking into account customers requests for flexibility. Customers are no longer required to have an Associate certification before pursuing a Professional certification. Nor do they need to hold a Foundational or Associate certification before pursuing Specialty certification.

The professional level exams are pretty tough to pass. Until a customer has a complete deep knowledge of the AWS platform, passing the professional exam is difficult. If a customer skips the Foundational or Associate level exams and directly appears for the professional level exams, he will not have the practice and knowledge necessary to fare well in them. Instead, if he/she fails the exam, backing up to the Associate level can be demotivating.

The AWS Certification demonstrates helps individuals obtain an expertise to design, deploy, and operate highly available, cost-effective, and secure applications on AWS. They will gain a  proficiency with AWS which will help them earn tangible benefits
This exam will help Employers Identify skilled professionals that can use  AWS technologies to lead IT initiatives. Moreover, the exams will help them reduce risks and costs to implement their workloads and projects on the AWS platform.

AWS dominates the cloud computing market and the AWS Certified Solutions Architect exams can help candidates secure their career in this exciting field. AWS offers digital and classroom training build cloud skills and prepare for certification exams. To know more about this announcement, head over to their official Blog.

Read Next

‘AWS Service Operator’ for Kubernetes now available allowing the creation of AWS resources using kubectl

Machine Learning as a Service (MLaaS): How Google Cloud Platform, Microsoft Azure, and AWS are democratizing Artificial Intelligence

AWS machine learning: Learning AWS CLI to execute a simple Amazon ML workflow [Tutorial]