Which tool checks a dataset for bias before training?
Why A is the answer
SageMaker Clarify
SageMaker Clarify computes bias metrics on a dataset before any training starts.
In detail
- Clarify checks datasets for bias before training.
- AWS closed SageMaker Clarify to new customers. Existing customers can keep using it.
- Fix it in the data, before training.
Use case
An illustrative scenario, not a real incident.
A hiring team runs Clarify before training, and it finds that one group is under-represented.
See it in different ways
mindmap
root((SageMaker AI))
Data
Data Wrangler
Ground Truth
Clarify
Train
JumpStart
Automatic model tuning
Debugger
Deploy
Pipelines
Model Registry
Operate
Model Monitorflowchart LR S0["Dataset"] --> S1["Clarify"] --> S2["Bias metrics"] --> S3["Decide on changes"]
Key point: Clarify checks datasets for bias.
Why the other options are wrong
- B. SageMaker Debugger
- Debugger inspects training.
- C. SageMaker Model Monitor
- Model Monitor watches production.
- D. SageMaker Feature Store
- Feature Store holds features.