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Understanding functional and technical aspects of AWS Certified Machine Learning Specialty Exam Data Engineering

The following will be dicussed here:

• Identify and implement a data-transformation solution
• Create data repositories for machine learning
• Identify and implement a data-ingestion solution

Reference: https://d1.awsstatic.com/training-and-certification/docs-ml/AWS%20Certified%20Machine%20Learning%20-%20Specialty_Exam%20Guide%20(1).pdf

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AWS Certified Solutions Architect - Associate

Who should take the Amazon MLS exam

Candidates who have the following should take this exam:

• Design and implement scalable, cost-optimized, reliable, and secure ML solutions
• Identify appropriate AWS services to implement ML solutions
• Select and justify the appropriate ML approach for a given business problem

If a candidate wants significant improvement in career growth needs enhanced knowledge, skills, and talents. TThe AWS Certified Solutions Architect - Associate examination is intended for individuals who perform a solutions architect role and have one or more years of hands-on experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS.

It asks for following experience:

• The ability to follow model-training best practices
• Experience with ML and deep learning frameworks
• Experience performing basic hyperparameter optimization
• 1-2 years of experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud
• The ability to express the intuition behind basic ML algorithms
• The ability to follow deployment and operational best practices