AWS Certified AI Practitioner AIF-C01

An ML research team develops custom ML models. The model artifacts are shared with other teams for integration into products and services. The ML team retains the model training code and data. The ML team wants to build a mechanism that the ML team can use to audit models.

Which solution should the ML team use when publishing the custom ML models?

A company has deployed an AI application to production on AWS, and the application's responses have grown less accurate over time.

The company requires a solution that sends alerts when application performance drifts.

Which AWS service or feature meets this requirement?

A company uses Amazon SageMaker to deploy a model that determines whether social media posts contain specific topics. The company must demonstrate how different input features affect the model's behavior.

Which SageMaker feature satisfies these requirements?

Which option describes a characteristic of transformer-based language models?

A company wants to build an ML application.

Select and order the correct steps from the following list to develop a well-architected ML workload. Select each step one time.