Updates of Azure at 2026-01-02
ai-foundry
azure-resource-manager
cyclecloud
data-factory
defender-for-cloud
firewall
- deploy-template.md (history)
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machine-learning
- apache-spark-azure-ml-concepts.md (history)
- apache-spark-environment-configuration.md (history)
- concept-automl-forecasting-calendar-features.md (history)
- concept-automl-forecasting-lags.md (history)
- concept-automl-forecasting-sweeping.md (history)
- concept-compute-instance.md (history)
- concept-compute-target.md (history)
- concept-customer-managed-keys.md (history)
- concept-data-collection.md (history)
- concept-data-encryption.md (history)
- concept-data.md (history)
- concept-deep-learning-vs-machine-learning.md (history)
- concept-endpoint-serverless-availability.md (history)
- concept-endpoints-batch.md (history)
- concept-endpoints-online-auth.md (history)
- concept-endpoints-online.md (history)
- concept-endpoints.md (history)
- concept-enterprise-security.md (history)
- concept-machine-learning-registries-mlops.md (history)
- concept-manage-ml-pitfalls.md (history)
- concept-ml-pipelines.md (history)
- concept-mlflow-models.md (history)
- concept-mlflow.md (history)
- concept-model-management-and-deployment.md (history)
- concept-model-monitoring.md (history)
- concept-models-featured.md (history)
- concept-online-deployment-model-specification.md (history)
- concept-plan-manage-cost.md (history)
- concept-prebuilt-docker-images-inference.md (history)
- concept-secure-code-best-practice.md (history)
- concept-secure-network-traffic-flow.md (history)
- concept-secure-online-endpoint.md (history)
- concept-train-machine-learning-model.md (history)
- concept-train-model-git-integration.md (history)
- concept-vulnerability-management.md (history)
- concept-what-is-managed-feature-store.md (history)
- create-datastore-with-user-interface.md (history)
- feature-retrieval-concepts.md (history)
- feature-set-materialization-concepts.md (history)
- feature-set-specification-transformation-concepts.md (history)
- foundry-models-overview.md (history)
- how-to-access-azureml-behind-firewall.md (history)
- how-to-access-data-batch-endpoints-jobs.md (history)
- how-to-access-resources-from-endpoints-managed-identities.md (history)
- how-to-access-terminal.md (history)
- how-to-add-users.md (history)
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- how-to-assign-roles.md (history)
- how-to-authenticate-batch-endpoint.md (history)
- how-to-authenticate-online-endpoint.md (history)
- how-to-auto-train-forecast.md (history)
- how-to-auto-train-image-models.md (history)
- how-to-auto-train-nlp-models.md (history)
- how-to-automl-forecasting-faq.md (history)
- how-to-autoscale-endpoints.md (history)
- how-to-change-storage-access-key.md (history)
- how-to-collect-production-data.md (history)
- how-to-configure-auto-train.md (history)
- how-to-configure-cli.md (history)
- how-to-configure-network-isolation-with-v2.md (history)
- how-to-configure-private-link.md (history)
- how-to-connect-models-serverless.md (history)
- how-to-connection.md (history)
- how-to-convert-custom-model-to-mlflow.md (history)
- how-to-create-attach-compute-cluster.md (history)
- how-to-create-attach-compute-studio.md (history)
- how-to-create-component-pipeline-python.md (history)
- how-to-create-data-assets.md (history)
- how-to-create-text-labeling-projects.md (history)
- how-to-custom-dns.md (history)
- how-to-customize-compute-instance.md (history)
- how-to-datastore.md (history)
- how-to-debug-managed-online-endpoints-visual-studio-code.md (history)
- how-to-deploy-automl-endpoint.md (history)
- how-to-deploy-custom-container.md (history)
- how-to-deploy-mlflow-models-online-endpoints.md (history)
- how-to-deploy-mlflow-models.md (history)
- how-to-deploy-model-custom-output.md (history)
- how-to-deploy-models-from-huggingface.md (history)
- how-to-deploy-models-serverless.md (history)
- how-to-deploy-models-timegen-1.md (history)
- how-to-deploy-online-endpoint-with-secret-injection.md (history)
- how-to-deploy-online-endpoints.md (history)
- how-to-deploy-with-rest.md (history)
- how-to-deploy-with-triton.md (history)
- how-to-devops-machine-learning.md (history)
- how-to-enable-studio-virtual-network.md (history)
- how-to-export-delete-data.md (history)
- how-to-github-actions-machine-learning.md (history)
- how-to-high-availability-machine-learning.md (history)
- how-to-identity-based-service-authentication.md (history)
- how-to-image-processing-batch.md (history)
- how-to-import-data-assets.md (history)
- how-to-inference-onnx-automl-image-models.md (history)
- how-to-inference-server-http.md (history)
- how-to-integrate-azure-policy.md (history)
- how-to-interactive-jobs.md (history)
- how-to-log-mlflow-models.md (history)
- how-to-log-search.md (history)
- how-to-log-view-metrics.md (history)
- how-to-machine-learning-interpretability.md (history)
- how-to-manage-compute-instance.md (history)
- how-to-manage-compute-sessions.md (history)
- how-to-manage-hub-workspace-portal.md (history)
- how-to-manage-hub-workspace-template.md (history)
- how-to-manage-imported-data-assets.md (history)
- how-to-manage-labeling-projects.md (history)
- how-to-manage-quotas.md (history)
- how-to-manage-registries.md (history)
- how-to-manage-rest.md (history)
- how-to-manage-synapse-spark-pool.md (history)
- how-to-manage-workspace-terraform.md (history)
- how-to-managed-network-compute.md (history)
- how-to-managed-network.md (history)
- how-to-mlflow-batch.md (history)
- how-to-mltable.md (history)
- how-to-monitor-kubernetes-online-enpoint-inference-server-log.md (history)
- how-to-monitor-model-performance.md (history)
- how-to-move-workspace.md (history)
- how-to-network-isolation-model-catalog.md (history)
- how-to-network-security-overview.md (history)
- how-to-nlp-processing-batch.md (history)
- how-to-outsource-data-labeling.md (history)
- how-to-prepare-datasets-for-automl-images.md (history)
- how-to-prevent-data-loss-exfiltration.md (history)
- how-to-private-endpoint-integration-synapse.md (history)
- how-to-read-write-data-v2.md (history)
- how-to-registry-network-isolation.md (history)
- how-to-responsible-ai-insights-sdk-cli.md (history)
- how-to-safely-rollout-online-endpoints.md (history)
- how-to-schedule-data-import.md (history)
- how-to-schedule-pipeline-job.md (history)
- how-to-secure-inferencing-vnet.md (history)
- how-to-secure-kubernetes-online-endpoint.md (history)
- how-to-secure-online-endpoint.md (history)
- how-to-secure-training-vnet.md (history)
- how-to-secure-workspace-vnet.md (history)
- how-to-securely-attach-databricks.md (history)
- how-to-setup-access-control-feature-store.md (history)
- how-to-setup-authentication.md (history)
- how-to-setup-customer-managed-keys.md (history)
- how-to-setup-mlops-azureml.md (history)
- how-to-setup-mlops-github-azure-ml.md (history)
- how-to-share-data-across-workspaces-with-registries.md (history)
- how-to-share-models-pipelines-across-workspaces-with-registries.md (history)
- how-to-submit-spark-jobs.md (history)
- how-to-track-monitor-analyze-runs.md (history)
- how-to-track-monitor-organize-jobs.md (history)
- how-to-train-keras.md (history)
- how-to-train-model.md (history)
- how-to-train-pytorch.md (history)
- how-to-train-scikit-learn.md (history)
- how-to-train-tensorflow.md (history)
- how-to-train-with-ui.md (history)
- how-to-troubleshoot-auto-ml.md (history)
- how-to-troubleshoot-batch-endpoints.md (history)
- how-to-troubleshoot-data-access.md (history)
- how-to-troubleshoot-data-labeling.md (history)
- how-to-troubleshoot-environments.md (history)
- how-to-troubleshoot-managed-network.md (history)
- how-to-troubleshoot-online-endpoints.md (history)
- how-to-troubleshoot-secure-connection-workspace.md (history)
- how-to-tune-hyperparameters.md (history)
- how-to-understand-automated-ml.md (history)
- how-to-use-automated-ml-for-ml-models.md (history)
- how-to-use-automl-onnx-model-dotnet.md (history)
- how-to-use-automl-small-object-detect.md (history)
- how-to-use-batch-azure-data-factory.md (history)
- how-to-use-batch-fabric.md (history)
- how-to-use-batch-model-deployments.md (history)
- how-to-use-batch-model-openai-embeddings.md (history)
- how-to-use-batch-pipeline-deployments.md (history)
- how-to-use-batch-pipeline-from-job.md (history)
- how-to-use-batch-scoring-pipeline.md (history)
- how-to-use-batch-training-pipeline.md (history)
- how-to-use-event-grid.md (history)
- how-to-use-foundation-models.md (history)
- how-to-use-low-priority-batch.md (history)
- how-to-use-mlflow-cli-runs.md (history)
- how-to-use-mlflow-configure-tracking.md (history)
- how-to-use-parallel-job-in-pipeline.md (history)
- how-to-use-pipeline-component.md (history)
- how-to-use-secrets-in-runs.md (history)
- how-to-use-sweep-in-pipeline.md (history)
- how-to-visualize-jobs.md (history)
- how-to-workspace-diagnostic-api.md (history)
- interactive-data-wrangling-with-apache-spark-azure-ml.md (history)
- azure-machine-learning-known-issues.md (history)
- migrate-to-v2-assets-data.md (history)
- migrate-to-v2-resource-compute.md (history)
- monitor-azure-machine-learning-reference.md (history)
- monitor-azure-machine-learning.md (history)
- offline-retrieval-point-in-time-join-concepts.md (history)
- policy-reference.md (history)
- community-ecosystem.md (history)
- concept-llmops-maturity.md (history)
- concept-model-monitoring-generative-ai-evaluation-metrics.md (history)
- how-to-bulk-test-evaluate-flow.md (history)
- how-to-custom-tool-package-creation-and-usage.md (history)
- how-to-customize-session-base-image.md (history)
- how-to-deploy-for-real-time-inference.md (history)
- how-to-deploy-to-code.md (history)
- how-to-develop-an-evaluation-flow.md (history)
- how-to-develop-flow.md (history)
- how-to-enable-streaming-mode.md (history)
- how-to-enable-trace-feedback-for-deployment.md (history)
- how-to-end-to-end-azure-devops-with-prompt-flow.md (history)
- how-to-evaluate-semantic-kernel.md (history)
- how-to-integrate-with-langchain.md (history)
- how-to-integrate-with-llm-app-devops.md (history)
- how-to-manage-compute-session.md (history)
- how-to-monitor-generative-ai-applications.md (history)
- how-to-process-image.md (history)
- how-to-tune-prompts-using-variants.md (history)
- transparency-note.md (history)
- troubleshoot-guidance.md (history)
- quickstart-spark-jobs.md (history)
- reference-automl-images-hyperparameters.md (history)
- reference-automl-images-schema.md (history)
- reference-yaml-data.md (history)
- reference-yaml-datastore-blob.md (history)
- reference-yaml-datastore-data-lake-gen1.md (history)
- reference-yaml-datastore-data-lake-gen2.md (history)
- reference-yaml-datastore-files.md (history)
- reference-yaml-deployment-kubernetes-online.md (history)
- reference-yaml-deployment-managed-online.md (history)
- reference-yaml-endpoint-online.md (history)
- reference-yaml-feature-entity.md (history)
- reference-yaml-feature-retrieval-spec.md (history)
- reference-yaml-feature-set.md (history)
- reference-yaml-feature-store.md (history)
- reference-yaml-featureset-spec.md (history)
- reference-yaml-mltable.md (history)
- reference-yaml-monitor.md (history)
- security-controls-policy.md (history)
- troubleshooting-managed-feature-store.md (history)
- tutorial-auto-train-image-models.md (history)
- tutorial-automated-ml-forecast.md (history)
- tutorial-create-secure-workspace-vnet.md (history)
- tutorial-create-secure-workspace.md (history)
- tutorial-deploy-model.md (history)
- tutorial-first-experiment-automated-ml.md (history)
- algorithm-cheat-sheet.md (history)
- concept-automated-ml.md (history)
- concept-data.md (history)
- concept-network-data-access.md (history)
- how-to-access-data.md (history)
- how-to-authenticate-web-service.md (history)
- how-to-auto-train-forecast.md (history)
- how-to-auto-train-image-models.md (history)
- how-to-auto-train-models-v1.md (history)
- how-to-auto-train-nlp-models.md (history)
- how-to-configure-auto-features.md (history)
- how-to-configure-auto-train.md (history)
- how-to-configure-cross-validation-data-splits.md (history)
- how-to-configure-databricks-automl-environment.md (history)
- how-to-configure-private-link.md (history)
- how-to-connect-data-ui.md (history)
- how-to-consume-web-service.md (history)
- how-to-convert-ml-experiment-to-production.md (history)
- how-to-create-attach-compute-cluster.md (history)
- how-to-create-machine-learning-pipelines.md (history)
- how-to-create-manage-compute-instance.md (history)
- how-to-create-register-datasets.md (history)
- how-to-data-ingest-adf.md (history)
- how-to-data-prep-synapse-spark-pool.md (history)
- how-to-debug-parallel-run-step.md (history)
- how-to-debug-pipelines.md (history)
- how-to-debug-visual-studio-code.md (history)
- how-to-deploy-advanced-entry-script.md (history)
- how-to-deploy-and-where.md (history)
- how-to-deploy-azure-container-instance.md (history)
- how-to-deploy-azure-kubernetes-service.md (history)
- how-to-deploy-inferencing-gpus.md (history)
- how-to-deploy-pipelines.md (history)
- how-to-deploy-profile-model.md (history)
- how-to-deploy-update-web-service.md (history)
- how-to-designer-import-data.md (history)
- how-to-designer-transform-data.md (history)
- how-to-enable-app-insights.md (history)
- how-to-enable-data-collection.md (history)
- how-to-extend-prebuilt-docker-image-inference.md (history)
- how-to-generate-automl-training-code.md (history)
- how-to-high-availability-machine-learning.md (history)
- how-to-identity-based-data-access.md (history)
- how-to-inference-onnx-automl-image-models.md (history)
- how-to-link-synapse-ml-workspaces.md (history)
- how-to-monitor-datasets.md (history)
- how-to-monitor-tensorboard.md (history)
- how-to-move-data-in-out-of-pipelines.md (history)
- how-to-prebuilt-docker-images-inference-python-extensibility.md (history)
- how-to-prepare-datasets-for-automl-images.md (history)
- how-to-retrain-designer.md (history)
- how-to-run-batch-predictions-designer.md (history)
- how-to-save-write-experiment-files.md (history)
- how-to-secure-inferencing-vnet.md (history)
- how-to-secure-training-vnet.md (history)
- how-to-secure-web-service.md (history)
- how-to-secure-workspace-vnet.md (history)
- how-to-select-algorithms.md (history)
- how-to-set-up-training-targets.md (history)
- how-to-setup-authentication.md (history)
- how-to-track-monitor-analyze-runs.md (history)
- how-to-train-keras.md (history)
- how-to-train-pytorch.md (history)
- how-to-train-scikit-learn.md (history)
- how-to-train-tensorflow.md (history)
- how-to-train-with-datasets.md (history)
- how-to-trigger-published-pipeline.md (history)
- how-to-troubleshoot-auto-ml.md (history)
- how-to-troubleshoot-deployment-local.md (history)
- how-to-troubleshoot-deployment.md (history)
- how-to-troubleshoot-prebuilt-docker-image-inference.md (history)
- how-to-use-automl-small-object-detect.md (history)
- how-to-use-automlstep-in-pipelines.md (history)
- how-to-use-labeled-dataset.md (history)
- how-to-use-managed-identities.md (history)
- how-to-use-mlflow.md (history)
- how-to-use-pipeline-parameter.md (history)
- how-to-use-private-python-packages.md (history)
- how-to-use-secrets-in-runs.md (history)
- how-to-use-synapsesparkstep.md (history)
- how-to-version-track-datasets.md (history)
- reference-automl-images-hyperparameters.md (history)
- reference-automl-images-schema.md (history)
- samples-designer.md (history)
- tutorial-1st-experiment-sdk-train.md (history)
- tutorial-auto-train-image-models.md (history)
- tutorial-pipeline-python-sdk.md (history)