MLOps & responsible AI
Amazon SageMaker Clarify vs Responsible AI dashboard (Azure ML)
SageMaker Clarify (in maintenance, no new customers) maps to the Azure Machine Learning Responsible AI dashboard.
On AWS, new customers are directed to SHAP, MLflow, and Bedrock Evaluations instead.
Side-by-side comparison
| Aspect | Amazon Web Services | Microsoft Azure |
|---|---|---|
| Service | Amazon SageMaker Clarify Maintenance | Responsible AI dashboard (Azure ML) |
| Lifecycle | No longer open to new customers (lifecycle announcement June 30, 2026). AWS recommends published monitoring solutions, SHAP, MLflow, and Bedrock Evaluations. | Generally available |
| What it is | Bias detection and explainability (SHAP) for ML models. | Error analysis, fairness assessment, model interpretability, counterfactuals, and causal analysis in a single dashboard. |
| Pricing model | Clarify processing jobs are billed per instance time. | Billed for the compute that generates the dashboard. |
| Docs | Amazon SageMaker Clarify docs | Responsible AI dashboard (Azure ML) docs |
| Pricing page | Amazon SageMaker Clarify pricing | Responsible AI dashboard (Azure ML) pricing |
| Exams | MLA-C01 Retiring AIF-C01 | AI-300 AI-901 |
Key differences
- The Azure Responsible AI dashboard (error analysis, fairness, interpretability, counterfactuals, causal analysis) is active, while Clarify accepts no new customers.
- Clarify's replacement guidance on AWS is a set of components (reference monitoring solutions, standardized bias formulas, SHAP, MLflow, QuickSight, Bedrock Evaluations), not one managed service.
Pricing summary
Pricing models only. No prices are quoted because they change by region and over time.
- AWS
- Clarify processing jobs are billed per instance time. Amazon SageMaker Clarify pricing →
- Azure
- Billed for the compute that generates the dashboard. Responsible AI dashboard (Azure ML) pricing →
Certification exam mapping
| Exam | Provider | Level | Status |
|---|---|---|---|
| AWS Certified Machine Learning Engineer – Associate MLA-C01 | AWS | Associate | retiring Being updated to MLA-C02 (beta registration opened Sep 1, 2026). Last day for MLA-C01 in English was Sep 28, 2026; Korean, Japanese, and Simplified Chinese remain until MLA-C02 GA. |
| AWS Certified AI Practitioner AIF-C01 | AWS | Foundational | current Italian and German versions retire after Oct 15, 2026 (per AWS cert page). |
| Microsoft Certified – Machine Learning Operations Engineer Associate AI-300 | Azure | Associate | current MLOps and GenAIOps infrastructure on Azure (IaC with Bicep/CLI, GitHub Actions). Closest successor in scope to the retired DP-100. |
| Microsoft Certified – Azure AI Fundamentals AI-901 | Azure | Fundamentals | current AI-901 replaces AI-900 for this certification (English version updated Apr 15, 2026). Covers Microsoft Foundry. |
Relevance is based on each exam's published scope, not a line-by-line objective match. Check the official study guide.
FAQ
What is the Azure equivalent of Amazon SageMaker Clarify?
SageMaker Clarify (in maintenance, no new customers) maps to the Azure Machine Learning Responsible AI dashboard. On AWS, new customers are directed to SHAP, MLflow, and Bedrock Evaluations instead.
How does pricing compare between Amazon SageMaker Clarify and Responsible AI dashboard (Azure ML)?
AWS: Clarify processing jobs are billed per instance time. Azure: Billed for the compute that generates the dashboard. Check the official pricing pages for current rates.
Which certification exams cover this topic?
AWS Certified Machine Learning Engineer – Associate (MLA-C01) [retiring]; AWS Certified AI Practitioner (AIF-C01); Microsoft Certified – Machine Learning Operations Engineer Associate (AI-300); Microsoft Certified – Azure AI Fundamentals (AI-901).