Question
A company uses Amazon Athena to query a dataset in Amazon S3. The dataset has a target variable that the company wants to predict.
The company needs to use the dataset in a solution to determine if a model can predict the target variable.
Which solution will provide this information with the LEAST development effort?
- A. Create a new model by using Amazon SageMaker Autopilot. Report the model's achieved performance. Correct
- B. Implement custom scripts to perform data pre-processing, multiple linear regression, and performance evaluation. Run the scripts on Amazon EC2 instances.
- C. Configure Amazon Macie to analyze the dataset and to create a model. Report the model's achieved performance.
- D. Select a model from Amazon Bedrock. Tune the model with the data. Report the model's achieved performance.
Explanation
Amazon SageMaker Autopilot automates the model creation process, including data preprocessing and model tuning, which minimizes development effort compared to manually implementing scripts or using services not designed for automated machine learning model creation.
