A new team in an account that has never used it plans to run SageMaker Clarify processing jobs for pre-training bias metrics and SHAP explanations on a tabular credit model. They discover they cannot start. What is the documented position, and what replacement does AWS describe for a predictive tabular workload?
- A.
Clarify is closed to new customers; AWS describes computing the standardised bias metrics directly with pandas and scikit-learn and using the SHAP library that Clarify itself is built on, operationalised in a pipeline with SageMaker AI MLflow, CloudWatch and QuickSight.
- B.
Clarify remains available but processing jobs have been replaced by a real-time API, so the team should call the bias and explainability endpoints directly instead of submitting jobs.
- C.
Clarify is closed to new customers and Amazon Bedrock Evaluations is the designated replacement for all of its capabilities, including pre-training bias metrics and SHAP attributions on tabular models. Bedrock Evaluations accepts tabular datasets directly and produces the same pre-training bias report that Clarify processing jobs used to emit.
- D.
Clarify is closed to new customers and the documented replacement is to enable SageMaker Model Monitor bias drift monitoring, which computes the same pre-training metrics without a Clarify job.
Show answer
Answer: A
Clarify is closed to new customers; the documented replacement computes the standardised metrics and SHAP directly inside your own pipeline.
- A. Matches the documented replacement guidance for predictive tabular bias detection and explainability.
- B. Clarify is closed to new customers; processing jobs were not replaced by a real-time API.
- C. The documentation states Bedrock Evaluations applies to foundation models only and is not a replacement for predictive bias or explainability.
- D. Model Monitor is itself among the SageMaker AI features closed to new customers, and its bias drift baselines were produced by Clarify.