1---2name: azure-machine-learning3description: Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running AutoML jobs, Prompt Flow/RAG, online endpoints, feature stores, or Azure ML CLI/YAML, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm).4---5# Azure Machine Learning Skill
6
7This skill provides expert guidance for Azure Machine Learning. Covers troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. It combines local quick-reference content with remote documentation fetching capabilities.
8
9## How to Use This Skill
10
11> **IMPORTANT for Agent**: Use the **Category Index** below to locate relevant sections. For categories with line ranges (e.g., `L35-L120`), use `read_file` with the specified lines. For categories with file links (e.g., `[security.md](security.md)`), use `read_file` on the linked reference file
12
13> **IMPORTANT for Agent**: If `metadata.generated_at` is more than 3 months old, suggest the user pull the latest version from the repository. If `mcp_microsoftdocs` tools are not available, suggest the user install it: [Installation Guide](https://github.com/MicrosoftDocs/mcp/blob/main/README.md)
14
15This skill requires **network access** to fetch documentation content:
16- **Preferred**: Use `mcp_microsoftdocs:microsoft_docs_fetch` with query string `from=learn-agent-skill`. Returns Markdown.
17- **Fallback**: Use `fetch_webpage` with query string `from=learn-agent-skill&accept=text/markdown`. Returns Markdown.
18
19## Category Index
20
21| Category | Lines | Description |
22|----------|-------|-------------|
23| Troubleshooting | L37-L65 | Diagnosing and fixing Azure ML errors in pipelines, endpoints, environments, networking, Kubernetes, AutoML, prompt flow, feature store, and known platform issues. |
24| Best Practices | L66-L81 | Guidance on optimizing AutoML and training, handling imbalance/overfitting, preparing data, batch/inference performance, monitoring models, and reducing Azure ML compute and cost. |
25| Decision Making | L82-L108 | Guides for planning Azure ML architecture and migrations: v1→v2 upgrades, workspace/compute/data moves, network isolation, disaster recovery, and generative AI/Prompt Flow to Agent Framework. |
26| Architecture & Design Patterns | L109-L114 | Designing real-time inference architectures with online endpoints and building RAG solutions using Azure ML vector stores, including deployment, scaling, and integration patterns. |
27| Limits & Quotas | L115-L124 | Limits, quotas, and availability for Azure ML: regional/sovereign support, VM SKUs, workspace soft delete, and capacity planning for managed online endpoints. |
28| Security | L125-L174 | Securing Azure ML: encryption, keys, identity/RBAC, policies, network isolation/VNets, private endpoints, DNS, data exfil prevention, and secure access to endpoints, storage, Key Vault, and prompt flows. |
29| Configuration | L175-L409 | Configuring Azure ML: AutoML jobs, designer components, compute, networking, storage, deployments, monitoring, Prompt Flow, and full CLI/YAML schemas for jobs, data, models, and feature stores. |
30| Integrations & Coding Patterns | L410-L454 | Integrating Azure ML with data platforms, REST/MLflow APIs, Spark, Databricks/Synapse/Fabric, and building/debugging prompt flow/RAG tools and deployments. |
31| Deployment | L455-L484 | Deploying and operationalizing models and pipelines on Azure ML (online/batch endpoints, CI/CD, MLOps, prompt flow, RAG, HF/MLflow/ONNX), including rollout strategies and cross-workspace/registry use. |
32
33### Troubleshooting
34| Topic | URL |
35|-------|-----|
36| Troubleshoot Azure ML designer component error codes | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/designer-error-codes?view=azureml-api-2 |
37| Resolve common Azure AutoML forecasting issues | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-automl-forecasting-faq?view=azureml-api-2 |
38| Debug Azure ML online endpoints locally with VS Code | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-debug-managed-online-endpoints-visual-studio-code?view=azureml-api-2 |
39| Diagnose and fix Azure ML pipeline failures in studio | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipeline-failure?view=azureml-api-2 |
40| Troubleshoot Azure ML pipeline performance with profiling | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipeline-performance?view=azureml-api-2 |
41| Diagnose and fix Azure ML pipeline reuse issues | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipeline-reuse-issues?view=azureml-api-2 |
42| Troubleshoot Azure automated ML experiment failures | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-auto-ml?view=azureml-api-2 |
43| Troubleshoot Azure ML batch endpoints and jobs | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-batch-endpoints?view=azureml-api-2 |
44| Troubleshoot data access issues in Azure ML SDK v2 | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-data-access?view=azureml-api-2 |
45| Troubleshoot Azure ML data labeling project creation | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-data-labeling?view=azureml-api-2 |
46| Troubleshoot Azure ML environment image build failures | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-environments?view=azureml-api-2 |
47| Troubleshoot Azure ML Kubernetes compute workloads | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-kubernetes-compute?view=azureml-api-2 |
48| Troubleshoot Azure ML Kubernetes extension deployment | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-kubernetes-extension?view=azureml-api-2 |
49| Diagnose Azure ML managed virtual network issues | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-managed-network?view=azureml-api-2 |
50| Troubleshoot Azure ML online endpoint deployment and scoring errors | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-online-endpoints?view=azureml-api-2 |
51| Resolve 'descriptors cannot be created directly' in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-protobuf-descriptor-error?view=azureml-api-2 |
52| Troubleshoot Azure ML private endpoint connectivity | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-secure-connection-workspace?view=azureml-api-2 |
53| Fix 'Validation for schema failed' errors in Azure ML CLI v2 | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-troubleshoot-validation-for-schema-failed-error?view=azureml-api-2 |
54| Diagnose and fix Azure ML workspace issues | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-workspace-diagnostic-api?view=azureml-api-2 |
55| Review Azure Machine Learning current known issues | https://learn.microsoft.com/en-us/azure/machine-learning/known-issues/azure-machine-learning-known-issues?view=azureml-api-2 |
56| Known issue: Invalid certificate during AKS deployment | https://learn.microsoft.com/en-us/azure/machine-learning/known-issues/inferencing-invalid-certificate?view=azureml-api-2 |
57| Known issue: Updating Azure ML Kubernetes compute fails | https://learn.microsoft.com/en-us/azure/machine-learning/known-issues/inferencing-updating-kubernetes-compute-appears-to-succeed?view=azureml-api-2 |
58| Troubleshoot common prompt flow issues in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/troubleshoot-guidance?view=azureml-api-2 |
59| Troubleshoot common prompt flow issues in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/troubleshoot-guidance?view=azureml-api-2 |
60| Troubleshoot Azure ML managed feature store errors | https://learn.microsoft.com/en-us/azure/machine-learning/troubleshooting-managed-feature-store?view=azureml-api-2 |
61
62### Best Practices
63| Topic | URL |
64|-------|-----|
65| Mitigate overfitting and imbalance in Azure AutoML | https://learn.microsoft.com/en-us/azure/machine-learning/concept-manage-ml-pitfalls?view=azureml-api-2 |
66| Understand Azure ML model monitoring concepts and practices | https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-monitoring?view=azureml-api-2 |
67| Optimize and manage Azure Machine Learning costs | https://learn.microsoft.com/en-us/azure/machine-learning/concept-plan-manage-cost?view=azureml-api-2 |
68| Design feature set transformations in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/feature-set-specification-transformation-concepts?view=azureml-api-2 |
69| Author batch scoring scripts for AML batch deployments | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-batch-scoring-script?view=azureml-api-2 |
70| Tune Azure ML Kubernetes inference router performance | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-kubernetes-inference-routing-azureml-fe?view=azureml-api-2 |
71| Optimize Azure Machine Learning compute costs | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-optimize-cost?view=azureml-api-2 |
72| Prepare image datasets for Azure AutoML vision | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-prepare-datasets-for-automl-images?view=azureml-api-2 |
73| Apply distributed GPU training patterns in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-train-distributed-gpu?view=azureml-api-2 |
74| Evaluate and compare Azure AutoML experiment results | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml?view=azureml-api-2 |
75| Optimize AutoML for small object detection in images | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-automl-small-object-detect?view=azureml-api-2 |
76| Optimize checkpoint performance for large Azure ML models with Nebula | https://learn.microsoft.com/en-us/azure/machine-learning/reference-checkpoint-performance-for-large-models?view=azureml-api-2 |
77
78### Decision Making
79| Topic | URL |
80|-------|-----|
81| Choose between managed and custom network isolation in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/concept-network-isolation-configurations?view=azureml-api-2 |
82| Choose migration paths from Azure ML Data Import to Fabric | https://learn.microsoft.com/en-us/azure/machine-learning/data-import-migration-guide?view=azureml-api-2 |
83| Plan failover and disaster recovery for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-high-availability-machine-learning?view=azureml-api-2 |
84| Manage and migrate imported data assets in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-imported-data-assets?view=azureml-api-2 |
85| Decide and plan migration from Azure ML v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-migrate-from-v1?view=azureml-api-2 |
86| Move Azure ML workspaces between subscriptions | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-move-workspace?view=azureml-api-2 |
87| Plan Azure ML network isolation architecture | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-network-isolation-planning?view=azureml-api-2 |
88| Map Azure ML v1 datasets to v2 data assets | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-assets-data?view=azureml-api-2 |
89| Migrate Azure ML model management from SDK v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-assets-model?view=azureml-api-2 |
90| Upgrade Azure ML script runs to v2 command jobs | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-command-job?view=azureml-api-2 |
91| Migrate Azure ML deployment endpoints from SDK v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-deploy-endpoints?view=azureml-api-2 |
92| Upgrade Azure ML pipeline endpoints from v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-deploy-pipelines?view=azureml-api-2 |
93| Upgrade Azure ML AutoML workflows from SDK v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-execution-automl?view=azureml-api-2 |
94| Migrate Azure ML hyperparameter tuning to v2 sweep jobs | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-execution-hyperdrive?view=azureml-api-2 |
95| Migrate Azure ML parallel run step to SDK v2 parallel job | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-execution-parallel-run-step?view=azureml-api-2 |
96| Upgrade Azure ML pipelines from SDK v1 to v2 jobs | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-execution-pipeline?view=azureml-api-2 |
97| Migrate Azure ML local runs from SDK v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-local-runs?view=azureml-api-2 |
98| Upgrade ACI web services to Azure ML managed online endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-managed-online-endpoints?view=azureml-api-2 |
99| Compare and migrate Azure ML compute management v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-resource-compute?view=azureml-api-2 |
100| Migrate datastore management from AML v1 to v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-resource-datastore?view=azureml-api-2 |
101| Decide how to upgrade Azure ML workspaces to SDK v2 | https://learn.microsoft.com/en-us/azure/machine-learning/migrate-to-v2-resource-workspace?view=azureml-api-2 |
102| Select and interpret Azure ML generative AI monitoring metrics | https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/concept-model-monitoring-generative-ai-evaluation-metrics?view=azureml-api-2 |
103| Plan migration from Prompt Flow to Agent Framework | https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/migrate-prompt-flow-to-agent-framework?view=azureml-api-2 |
104
105### Architecture & Design Patterns
106| Topic | URL |
107|-------|-----|
108| Plan real-time inference with Azure ML online endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/concept-endpoints-online?view=azureml-api-2 |
109| Use Azure ML vector stores for RAG architectures | https://learn.microsoft.com/en-us/azure/machine-learning/concept-vector-stores?view=azureml-api-2 |
110
111### Limits & Quotas
112| Topic | URL |
113|-------|-----|
114| Check regional availability for standard model deployments | https://learn.microsoft.com/en-us/azure/machine-learning/concept-endpoint-serverless-availability?view=azureml-api-2 |
115| Understand soft delete retention for ML workspaces | https://learn.microsoft.com/en-us/azure/machine-learning/concept-soft-delete?view=azureml-api-2 |
116| Manage Azure ML resource quotas and limits | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-manage-quotas?view=azureml-api-2 |
117| Check Azure ML feature availability by sovereign cloud | https://learn.microsoft.com/en-us/azure/machine-learning/reference-machine-learning-cloud-parity?view=azureml-api-2 |
118| Supported VM SKUs for Azure ML managed online endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/reference-managed-online-endpoints-vm-sku-list?view=azureml-api-2 |
119| Plan capacity with Azure Machine Learning service limits | https://learn.microsoft.com/en-us/azure/machine-learning/resource-limits-capacity?view=azureml-api-2 |
120
121### Security
122| Topic | URL |
123|-------|-----|
124| Configure customer-managed keys for Azure Machine Learning | https://learn.microsoft.com/en-us/azure/machine-learning/concept-customer-managed-keys?view=azureml-api-2 |
125| Understand data encryption for Azure ML compute and storage | https://learn.microsoft.com/en-us/azure/machine-learning/concept-data-encryption?view=azureml-api-2 |
126| Understand data handling and privacy for Azure ML Model Catalog | https://learn.microsoft.com/en-us/azure/machine-learning/concept-data-privacy?view=azureml-api-2 |
127| Understand auth and RBAC for AML online endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/concept-endpoints-online-auth?view=azureml-api-2 |
128| Plan enterprise security and governance for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/concept-enterprise-security?view=azureml-api-2 |
129| Secret injection concepts for AML online endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/concept-secret-injection?view=azureml-api-2 |
130| Understand secure network traffic flow for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/concept-secure-network-traffic-flow?view=azureml-api-2 |
131| Network isolation concepts for AML managed endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/concept-secure-online-endpoint?view=azureml-api-2 |
132| Manage vulnerabilities in Azure Machine Learning images | https://learn.microsoft.com/en-us/azure/machine-learning/concept-vulnerability-management?view=azureml-api-2 |
133| Configure inbound and outbound traffic for secure Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-azureml-behind-firewall?view=azureml-api-2 |
134| Securely connect Azure ML managed VNet to on-premises | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-on-premises-resources?view=azureml-api-2 |
135| Access Azure resources from AML endpoints via managed identity | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-access-resources-from-endpoints-managed-identities?view=azureml-api-2 |
136| Grant limited access to Azure ML labeling projects | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-add-users?view=azureml-api-2 |
137| Administer data access and authentication for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-administrate-data-authentication?view=azureml-api-2 |
138| Manage Azure ML workspace access with RBAC roles | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-assign-roles?view=azureml-api-2 |
139| Authorize access to Azure ML batch endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-authenticate-batch-endpoint?view=azureml-api-2 |
140| Configure authentication for Azure ML online endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-authenticate-online-endpoint?view=azureml-api-2 |
141| Use built-in Azure Policy to govern AI model deployments | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-built-in-policy-model-deployment?view=azureml-api-2 |
142| Rotate Azure ML workspace storage access keys securely | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-change-storage-access-key?view=azureml-api-2 |
143| Configure custom DNS for private Azure ML endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-custom-dns?view=azureml-api-2 |
144| Create custom Azure Policies to restrict AI model deployments | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-custom-policy-model-deployment?view=azureml-api-2 |
145| Use secret injection to access secrets in AML deployments | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-deploy-online-endpoint-with-secret-injection?view=azureml-api-2 |
146| Disable shared key access for Azure ML workspace storage | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-disable-local-auth-storage?view=azureml-api-2 |
147| Configure identity-based service authentication for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-identity-based-service-authentication?view=azureml-api-2 |
148| Enforce Azure ML workspace compliance with Azure Policy | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-integrate-azure-policy?view=azureml-api-2 |
149| Configure managed virtual network isolation for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-managed-network?view=azureml-api-2 |
150| Configure Model Catalog access with workspace managed virtual networks | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-network-isolation-model-catalog?view=azureml-api-2 |
151| Secure Azure ML workspaces with VNets and isolation | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-network-security-overview?view=azureml-api-2 |
152| Configure data exfiltration prevention for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-prevent-data-loss-exfiltration?view=azureml-api-2 |
153| Secure Azure ML batch endpoints with private networks | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-batch-endpoint?view=azureml-api-2 |
154| Secure Azure ML online inferencing with VNets | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-inferencing-vnet?view=azureml-api-2 |
155| Secure AKS inferencing environments for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-kubernetes-inferencing-environment?view=azureml-api-2 |
156| Configure TLS/SSL for Azure ML Kubernetes endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-kubernetes-online-endpoint?view=azureml-api-2 |
157| Secure Azure ML managed online endpoints with network isolation | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-online-endpoint?view=azureml-api-2 |
158| Secure Azure ML RAG workflows with network isolation | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-rag-workflows?view=azureml-api-2 |
159| Secure Azure ML training with virtual networks | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-training-vnet?view=azureml-api-2 |
160| Secure Azure ML workspace using virtual networks | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-secure-workspace-vnet?view=azureml-api-2 |
161| Configure RBAC access to Azure ML feature store | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-access-control-feature-store?view=azureml-api-2 |
162| Set up authentication to Azure ML workspaces | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-authentication?view=azureml-api-2 |
163| Configure customer-managed keys for Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-customer-managed-keys?view=azureml-api-2 |
164| Securely use Key Vault secrets in Azure ML runs | https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-secrets-in-runs?view=azureml-api-2 |
165| Apply built-in Azure Policy definitions for AML | https://learn.microsoft.com/en-us/azure/machine-learning/policy-reference?view=azureml-api-2 |
166| Manage credentials with connections in Azure ML prompt flow | https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/concept-connections?view=azureml-api-2 |
167| Configure network isolation for Prompt flow in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/prompt-flow/how-to-secure-prompt-flow?view=azureml-api-2 |
168| Apply Azure Policy regulatory controls to Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/security-controls-policy?view=azureml-api-2 |
169| Create secure Azure ML workspace with managed VNet | https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-create-secure-workspace?view=azureml-api-2 |
170
171### Configuration
172| Topic | URL |
173|-------|-----|
174| Configure AutoML Classification component with ML Tables | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/classification?view=azureml-api-2 |
175| Configure AutoML Forecasting component in designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/forecasting?view=azureml-api-2 |
176| Configure AutoML Image Multi-label Classification | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/image-classification-multilabel?view=azureml-api-2 |
177| Configure AutoML Image Classification component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/image-classification?view=azureml-api-2 |
178| Configure AutoML Image Instance Segmentation component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/image-instance-segmentation?view=azureml-api-2 |
179| Configure AutoML Image Object Detection component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/image-object-detection?view=azureml-api-2 |
180| Configure AutoML Regression component with ML Tables | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/regression?view=azureml-api-2 |
181| Configure AutoML Text Multi-label Classification component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/text-classification-multilabel?view=azureml-api-2 |
182| Configure AutoML Text Classification component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/text-classification?view=azureml-api-2 |
183| Configure AutoML Text NER component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference-v2/text-ner?view=azureml-api-2 |
184| Configure Add Columns component to concatenate datasets | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/add-columns?view=azureml-api-2 |
185| Configure Add Rows component to append dataset records | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/add-rows?view=azureml-api-2 |
186| Configure Apply Image Transformation in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/apply-image-transformation?view=azureml-api-2 |
187| Configure Apply Math Operation component for column calculations | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/apply-math-operation?view=azureml-api-2 |
188| Configure Apply SQL Transformation component using SQLite | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/apply-sql-transformation?view=azureml-api-2 |
189| Configure Apply Transformation component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/apply-transformation?view=azureml-api-2 |
190| Configure Assign Data to Clusters in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/assign-data-to-clusters?view=azureml-api-2 |
191| Configure Boosted Decision Tree Regression component (LightGBM) | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/boosted-decision-tree-regression?view=azureml-api-2 |
192| Configure Clean Missing Data component for handling nulls | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/clean-missing-data?view=azureml-api-2 |
193| Configure Clip Values component to handle outliers | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/clip-values?view=azureml-api-2 |
194| Configure and use Azure ML designer algorithm components | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/component-reference?view=azureml-api-2 |
195| Configure Convert to CSV component for dataset export | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/convert-to-csv?view=azureml-api-2 |
196| Configure Convert to Dataset component for internal format | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/convert-to-dataset?view=azureml-api-2 |
197| Configure Convert to Image Directory in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/convert-to-image-directory?view=azureml-api-2 |
198| Configure Convert to Indicator Values for categorical encoding | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/convert-to-indicator-values?view=azureml-api-2 |
199| Configure Convert Word to Vector component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/convert-word-to-vector?view=azureml-api-2 |
200| Configure Create Python Model component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/create-python-model?view=azureml-api-2 |
201| Configure Cross Validate Model component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/cross-validate-model?view=azureml-api-2 |
202| Configure Decision Forest Regression in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/decision-forest-regression?view=azureml-api-2 |
203| Configure DenseNet image classification component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/densenet?view=azureml-api-2 |
204| Configure Edit Metadata component to adjust column roles | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/edit-metadata?view=azureml-api-2 |
205| Set up Enter Data Manually component for small datasets | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/enter-data-manually?view=azureml-api-2 |
206| Configure Evaluate Model component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/evaluate-model?view=azureml-api-2 |
207| Configure Evaluate Recommender component for model accuracy | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/evaluate-recommender?view=azureml-api-2 |
208| Configure Execute Python Script in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/execute-python-script?view=azureml-api-2 |
209| Configure Execute R Script component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/execute-r-script?view=azureml-api-2 |
210| Configure Export Data component to save pipeline outputs | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/export-data?view=azureml-api-2 |
211| Configure Extract N-Gram Features from Text in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/extract-n-gram-features-from-text?view=azureml-api-2 |
212| Configure Fast Forest Quantile Regression in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/fast-forest-quantile-regression?view=azureml-api-2 |
213| Configure Feature Hashing text component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/feature-hashing?view=azureml-api-2 |
214| Configure Filter Based Feature Selection for predictive columns | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/filter-based-feature-selection?view=azureml-api-2 |
215| Use graph search query syntax in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/graph-search-syntax?view=azureml-api-2 |
216| Configure Group Data into Bins component for discretization | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/group-data-into-bins?view=azureml-api-2 |
217| Configure Import Data component for Azure ML designer pipelines | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/import-data?view=azureml-api-2 |
218| Configure Init Image Transformation in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/init-image-transformation?view=azureml-api-2 |
219| Configure Join Data component to merge datasets | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/join-data?view=azureml-api-2 |
220| Configure K-Means Clustering component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/k-means-clustering?view=azureml-api-2 |
221| Configure Latent Dirichlet Allocation component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/latent-dirichlet-allocation?view=azureml-api-2 |
222| Configure Linear Regression component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/linear-regression?view=azureml-api-2 |
223| Configure Multiclass Boosted Decision Tree in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/multiclass-boosted-decision-tree?view=azureml-api-2 |
224| Configure Multiclass Decision Forest in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/multiclass-decision-forest?view=azureml-api-2 |
225| Configure Multiclass Logistic Regression in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/multiclass-logistic-regression?view=azureml-api-2 |
226| Configure Multiclass Neural Network in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/multiclass-neural-network?view=azureml-api-2 |
227| Set up Neural Network Regression in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/neural-network-regression?view=azureml-api-2 |
228| Configure Normalize Data component for feature scaling | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/normalize-data?view=azureml-api-2 |
229| Configure One-vs-All Multiclass component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/one-vs-all-multiclass?view=azureml-api-2 |
230| Configure One-vs-One Multiclass component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/one-vs-one-multiclass?view=azureml-api-2 |
231| Configure Partition and Sample component for dataset splitting | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/partition-and-sample?view=azureml-api-2 |
232| Configure deprecated PCA-Based Anomaly Detection component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/pca-based-anomaly-detection?view=azureml-api-2 |
233| Configure Permutation Feature Importance component for model insights | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/permutation-feature-importance?view=azureml-api-2 |
234| Use Poisson Regression component in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/poisson-regression?view=azureml-api-2 |
235| Configure Preprocess Text component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/preprocess-text?view=azureml-api-2 |
236| Configure Remove Duplicate Rows component for deduplication | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/remove-duplicate-rows?view=azureml-api-2 |
237| Configure ResNet image classification in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/resnet?view=azureml-api-2 |
238| Configure Score Image Model component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/score-image-model?view=azureml-api-2 |
239| Configure Score Model component in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/score-model?view=azureml-api-2 |
240| Configure Score SVD Recommender for predictions | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/score-svd-recommender?view=azureml-api-2 |
241| Configure Score Vowpal Wabbit Model in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/score-vowpal-wabbit-model?view=azureml-api-2 |
242| Configure Score Wide & Deep Recommender component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/score-wide-and-deep-recommender?view=azureml-api-2 |
243| Configure Select Columns in Dataset to subset features | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/select-columns-in-dataset?view=azureml-api-2 |
244| Configure Select Columns Transform for stable feature sets | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/select-columns-transform?view=azureml-api-2 |
245| Configure SMOTE component to oversample minority classes | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/smote?view=azureml-api-2 |
246| Configure Split Data component for train-test partitioning | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/split-data?view=azureml-api-2 |
247| Configure Split Image Directory component for datasets | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/split-image-directory?view=azureml-api-2 |
248| Configure Summarize Data component for descriptive statistics | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/summarize-data?view=azureml-api-2 |
249| Configure Train Anomaly Detection Model component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-anomaly-detection-model?view=azureml-api-2 |
250| Configure Train Clustering Model component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-clustering-model?view=azureml-api-2 |
251| Configure Train PyTorch Model component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-pytorch-model?view=azureml-api-2 |
252| Configure Train SVD Recommender in Azure ML designer | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-svd-recommender?view=azureml-api-2 |
253| Configure Train Vowpal Wabbit Model in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-vowpal-wabbit-model?view=azureml-api-2 |
254| Configure Train Wide & Deep Recommender component | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-wide-and-deep-recommender?view=azureml-api-2 |
255| Configure Tune Model Hyperparameters in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/tune-model-hyperparameters?view=azureml-api-2 |
256| Configure Two-Class Averaged Perceptron in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-averaged-perceptron?view=azureml-api-2 |
257| Configure Two-Class Boosted Decision Tree in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-boosted-decision-tree?view=azureml-api-2 |
258| Configure Two-Class Decision Forest in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-decision-forest?view=azureml-api-2 |
259| Configure Two-Class Logistic Regression in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-logistic-regression?view=azureml-api-2 |
260| Configure Two-Class Neural Network in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-neural-network?view=azureml-api-2 |
261| Configure Two-Class SVM component in Azure ML | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/two-class-support-vector-machine?view=azureml-api-2 |
262| Configure Web Service Input and Output components | https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/web-service-input-output?view=azureml-api-2 |
263| Configure inference data collection for Azure ML endpoints | https://learn.microsoft.com/en-us/azure/machine-learning/concept-data-collection?view=azureml-api-2 |
264| Use expressions in Azure ML SDK and CLI v2 jobs | https://learn.microsoft.com/en-us/azure/machine-learning/concept-expressions?view=azureml-api-2 |
265| Specify models for Azure ML online deployments | https://learn.microsoft.com/en-us/azure/machine-learning/concept-online-deployment-model-specification?view=azureml-api-2 |
266| Use Azure ML prebuilt Docker images for inference | https://learn.microsoft.com/en-us/azure/machine-learning/concept-prebuilt-docker-images-inference?view=azureml-api-2 |
267| Configure and use Azure ML Responsible AI dashboard | https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai-dashboard?view=azureml-api-2 |
268| Configure feature retrieval specs for training and inference | https://learn.microsoft.com/en-us/azure/machine-learning/feature-retrieval-concepts?view=azureml-api-2 |
269| Configure feature set materialization in Azure ML | https://le
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