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The Official Practice Question Set: AWS Certified Machine Learning - Specialty (MLS-C01) consists of 20 questions. This question set aligns with the MLS-C01 version of the exam and exam guide. Official Practice Question Sets feature 20 questions…

The Official Practice Question Set: AWS Certified Machine Learning Engineer - Associate (MLA-C01) consists of 20 questions. This question set aligns with the MLA-C01 version of the exam and exam guide. If you are looking for an assessment that is…

The Official Practice Question Set: AWS Certified Security - Specialty (SCS-C02) consists of 20 questions. This question set aligns with the SCS-C02 version of the exam and exam guide. If you are looking for an assessment that is the same length…

The Official Practice Question Set: AWS Certified Solutions Architect - Associate (SAA-C03) consists of 20 questions. This question set aligns with the SAA-C03 version of the exam and exam guide. If you are looking for an assessment that is the…

The Official Practice Question Set: AWS Certified Solutions Architect - Professional (SAP-C02) consists of 20 questions. This question set aligns with the SAP-C02 version of the exam and exam guide. If you are looking for an assessment that is the…

The Official Practice Question Set: AWS Certified SysOps Administrator - Associate (SOA-C02) consists of 20 questions. This question set aligns with the SOA-C02 version of the exam and exam guide. If you are looking for an assessment that is the…

Machine learning (ML) and Artificial Intelligence (AI) are becoming mainstream. In this course, you will spend a day in the life of a data scientist so that you can collaborate efficiently with data scientists and build applications that integrate…

In this course, you will learn how to use Amazon EKS to manage and orchestrate containers with Kubernetes. With Amazon EKS you can run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane. You will…

This credential earner has foundational knowledge in hybrid cloud computing, artificial intelligence (AI) ethics, and open source technologies. This earner know the differences between private and public clouds, the attributes of hybrid cloud, the role of data containers; the types of human ethical behavior, how they relate to AI ethics, how AI ethics can fail, and ways to reduce the resulting harm; open source history, roles, responsibilities; and the role of these technologies in jobs.

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

Optimizing Costs for Microsoft Workloads on AWS teaches Developers, Solutions Architects, IT managers, and DevOps Engineers how to determine the right cost optimization techniques and tools to achieve lower costs and better performance for…