SageMaker

Question 1

What fully managed AWS service provides a complete, unified set of tools for high-performance, low-cost Machine Learning development and deployment for any use case?

Answer 1

Amazon SageMaker

Question 2

What key stages of the Machine Learning lifecycle supported by the comprehensive features of Amazon SageMaker?

Answer 2

• Data Preparation: Fetching, cleaning, and transforming data
• Model Building & Training: Training, tuning, and debugging models
• Model Deployment & Monitoring: Hosting models as low-latency endpoints and continuously monitoring their performance in production

Question 3

What is the billing model of Amazon SageMaker?

Answer 3

The service itself has no upfront cost, you are billed only for the underlying AWS resources consumed, such as compute instances (EC2) used for training/hosting, storage (S3/EBS), and data transfer

Question 4

What Amazon SageMaker component serves as the unified, web-based Integrated Development Environment (IDE) for the entire ML model lifecycle?

Answer 4

SageMaker Studio

Question 5

Which SageMaker organizational entity provides a central setting for managing users, projects, security, and shared ML assets?

Answer 5

SageMaker Domain