
AWS Certified Machine Learning (MLS-C01): Practice Exams
Included in This Course
- AWS Certified Machine Learning (MLS-C01) Specialty 2020: Mini Practice Test15 questions
- AWS Certified Machine Learning (MLS-C01) Specialty 2020: Full Practice Test70 questions
Description
Are you ready to pass the AWS Certified Machine Learning exam? Our Practice Test provide an entire exam’s worth of questions, enabling you to confirm your mastery of the topics and providing you with the confidence you’ll need to take the exam.
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems.
Abilities Validated by the Certification
Select and justify the appropriate ML approach for a given business problem
Identify appropriate AWS services to implement ML solutions
Design and implement scalable, cost-optimized, reliable, and secure ML solutions
Recommended Knowledge and Experience
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
Experience performing basic hyperparameter optimization
Experience with ML and deep learning frameworks
The ability to follow model-training best practices
The ability to follow deployment and operational best practices
Who this course is for:
- Machine learning professionals testing their readiness for the AWS Certified Machine Learning Specialty exam.
Instructor
Atharv | AWS Certified Solutions Architect & Developer
I've been working in IT for over 14 years in a variety of roles ranging from support to architecture. I have 10+ years of experience in various top IT companies as a Solutions Architect. I have experience in AWS, OpenStack, Azure and Google Cloud.
"Knowledge alone is capable of transforming the world, while at the same time leaving it exactly as it is."