AWS Certified Machine Learning Engineer – Associate (MLA-C01) — Question 25

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?

Answer options

• A. Create a new model by using Amazon SageMaker Autopilot. Report the model's achieved performance.
• 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.

Correct answer: A

Explanation

The correct answer is A because Amazon SageMaker Autopilot automates the model building process, requiring minimal manual effort. Options B and C involve more complex and time-consuming development processes, making them less efficient. Option D, while viable, also necessitates more tuning and effort compared to the automation provided by SageMaker Autopilot.