Answer: SageMaker Canvas

## Explanation **SageMaker Canvas** is the correct answer because it provides a visual, no-code interface specifically designed for business analysts and domain experts who don't have coding experience. ### Why SageMaker Canvas is correct: 1. **No-code interface**: SageMaker Canvas offers a visual, drag-and-drop interface that allows users to build, train, and deploy machine learning models without writing any code. 2. **Business analyst focused**: It's specifically designed for business users, data analysts, and domain experts who understand business problems but lack programming skills. 3. **End-to-end workflow**: Users can prepare data, build models, evaluate performance, and generate predictions through a simple UI. 4. **Integration with SageMaker**: While being no-code, it leverages Amazon SageMaker's underlying infrastructure for model training and deployment. ### Why other options are incorrect: - **A) SageMaker Ground Truth**: This is for data labeling and annotation, not for building and deploying predictive models. - **B) SageMaker Studio**: This is an integrated development environment (IDE) for data scientists and developers who write code. It requires programming knowledge. - **D) SageMaker Pipelines**: This is for building machine learning workflows using code, typically used by data scientists and ML engineers. ### Key Takeaway: SageMaker Canvas democratizes machine learning by enabling business users to leverage ML capabilities without requiring technical expertise in programming or data science.

Author: Ritesh Yadav