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AI and Machine Learning premium Document Intelligence Azure AI Document Intelligence is a cloud service that uses OCR and machine learning to extract text, layout, tables, key-value pairs, and fields from documents. Document Intelligence fundamentals 5 commands Aliases: Azure AI Document Intelligence, Azure Document Intelligence, Form Recognizer, intelligent document processing Quick peek Open full term page

AI and Machine Learning premium Document Intelligence custom model A Document Intelligence custom model is a trained model built from representative labeled documents to extract fields from organization-specific document types. Document Intelligence intermediate 5 commands Aliases: custom extraction model, custom neural model, custom template model, trained custom document model Quick peek Open full term page

AI and Machine Learning premium Document Intelligence layout model The Document Intelligence layout model is a prebuilt model that extracts document text, tables, selection marks, structure, and layout information without custom training. Document Intelligence fundamentals 5 commands Aliases: layout model, prebuilt layout model, document layout analysis, layout analysis model Quick peek Open full term page

AI and Machine Learning premium Document Intelligence model A Document Intelligence model is a prebuilt, custom, composed, or classifier model used to analyze documents and return structured extraction or classification results. Document Intelligence fundamentals 5 commands Aliases: document model, prebuilt model, custom model, model ID Quick peek Open full term page

AI and Machine Learning premium Document Intelligence resource A Document Intelligence resource is the Azure AI service resource that provides the endpoint, keys, region, pricing tier, network configuration, and monitoring for Document Intelligence APIs. Document Intelligence fundamentals 5 commands Aliases: Azure Document Intelligence resource, Document Intelligence account, AI service resource, Form Recognizer resource Quick peek Open full term page

AI and Machine Learning premium Document analysis operation A document analysis operation is an asynchronous Document Intelligence request that analyzes a document with a model and returns extracted content, layout, and fields when polling completes. Document Intelligence intermediate 5 commands Aliases: Analyze operation, analyze document operation, Document Intelligence analysis request, async analysis operation Quick peek Open full term page

AI and Machine Learning premium Document classifier A document classifier is a Document Intelligence custom classification model that identifies document types or pages before extraction and routing. Document Intelligence intermediate 5 commands Aliases: custom classifier, Document Intelligence classifier, classification model, page classifier Quick peek Open full term page

AI and Machine Learning premium Document field A document field is a structured value extracted by Document Intelligence, usually with field type, content, confidence, and location metadata in the analyze result. Document Intelligence fundamentals 5 commands Aliases: extracted field, field value, query field, document result field Quick peek Open full term page

AI and Machine Learning premium Custom document model an Azure AI Document Intelligence model trained or built for a team’s specific document layout, fields, and extraction needs. Document Intelligence fundamentals 4 commands Aliases: Document Intelligence custom model, custom extraction model, custom neural document model Quick peek Open full term page

AI and Machine Learning premium ID document model ID document model is a prebuilt Azure AI Document Intelligence model that extracts fields from identity documents such as passports and driver licenses. Document Intelligence intermediate 4 commands Aliases: id document model, ID document model, Identity document model, Prebuilt ID document model, prebuilt-idDocument Quick peek Open full term page

AI and Machine Learning premium Composed document model an Azure AI Document Intelligence model that combines several custom document models behind one model identifier so different document types can be analyzed together Document Intelligence Intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Prebuilt document model A prebuilt document model is a ready-made Document Intelligence model for a common document type such as an invoice, receipt, ID document, contract, bank statement, pay stub, or tax form. Instead of collecting labeled examples and training a custom model, a developer calls the prebuilt model and receives extracted fields, text, tables, confidence scores, and layout information. It is useful when the document matches a known pattern well enough. It is not magic; teams still need validation, exception handling, data protection, and downstream business rules. Document Intelligence fundamentals 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Face API The Face API is an Azure AI service API that provides face detection, recognition, verification, identification, grouping, and related face analysis capabilities. Teams use it to build applications that detect faces in images, compare faces, verify identity scenarios, support liveness workflows, or organize face-related image data under approved responsible AI controls. It is not a general computer vision labeler, proof of identity by itself, a surveillance policy, or permission to use biometric capabilities without legal, privacy, and access review. Azure AI services intermediate 6 commands Aliases: Azure AI Face, Azure Face API, Face service Quick peek Open full term page

AI and Machine Learning premium Face service Face service is an Azure AI service that provides APIs for face detection, face analysis, verification, identification, grouping, and liveness-related workflows under approved access controls. Teams use it to build applications that detect faces in images, compare face evidence, verify approved identity scenarios, support liveness checks, or manage face lists within privacy and responsible AI controls. It is not a general image classification service, legal approval to process biometric data, a replacement for human identity review, or a guarantee that every face decision is correct. Azure AI services intermediate 6 commands Aliases: Azure AI Face, Azure AI Face service, Azure Face service, Face API, Azure AI services Face Quick peek Open full term page

AI and Machine Learning premium Form Recognizer Form Recognizer is the former name for Azure AI Document Intelligence, an Azure AI service that analyzes documents and extracts text, tables, layout, and structured fields. Teams use it to turn invoices, receipts, IDs, contracts, forms, and scanned documents into structured data for applications, workflow automation, search indexing, review queues, and compliance processing. It is not a human legal review, a guarantee that every extracted field is correct, a storage system for regulated documents, or a reason to skip confidence thresholds and validation logic. Azure AI Document Intelligence intermediate 6 commands Aliases: Azure Form Recognizer, Azure AI Document Intelligence, Document Intelligence, Azure AI Form Recognizer Quick peek Open full term page

AI and Machine Learning premium Confidence score a model-provided certainty value that helps teams judge whether extracted fields, text, tables, or classifications should be accepted automatically or reviewed by a person Document Intelligence fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

Integration premium Event Hubs schema registry Event Hubs schema registry is a central repository in Event Hubs for schemas used by event-driven and messaging applications. Teams use it to let producers and consumers share versioned event schemas so payloads stay consistent as applications evolve. It is not an event hub partition, a data catalog for every dataset, an automatic validator for all messages, or a substitute for application-side schema handling. In production, confirm the namespace, event hub, partitions, identity, network path, consumer groups, checkpoints, metrics, owner, and rollback plan before treating the stream design as healthy. Event Hubs intermediate 5 commands Aliases: Azure Schema Registry, schema group, Event Hubs Schema Registry Quick peek Open full term page

AI and Machine Learning premium Immersive Reader Immersive Reader is an Azure AI service that adds reading-comprehension features such as focused text display, read-aloud, translation, and grammar aids to applications. Azure AI services fundamentals 5 commands Aliases: Immersive Reader, immersive reader, immersive-reader Quick peek Open full term page

AI and Machine Learning premium Invoice model Invoice model controls how teams automate invoice data extraction before routing results into approvals, ERP systems, payment workflows, audits, or exception handling queues. Teams see it in document intelligence studio, prebuilt invoice api calls. It is not a custom document model, a receipt model, an invoice section in billing, an accounting system, or a generative model that summarizes documents; confusing them can create incorrect payment amounts, missed line items. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior. Document Intelligence Intermediate 5 commands Aliases: prebuilt invoice model, Document Intelligence invoice model, invoice extraction model, invoice processing model Quick peek Open full term page

AI and Machine Learning premium Health Insights Health Insights is Azure AI capabilities that help healthcare applications extract, reason over, or summarize clinical information for approved medical workflows. Azure AI Health Insights intermediate 4 commands Aliases: Azure AI Health Insights, Azure Health Insights, Health Insights, health-insights Quick peek Open full term page

AI and Machine Learning premium Image Analysis Image Analysis is an Azure AI Vision capability that uses pretrained models to extract visual features, text, people, objects, tags, and captions from images. Azure AI Vision intermediate 4 commands Aliases: Analyze Image, Azure AI Vision Image Analysis, Computer Vision Image Analysis, image analysis, Image Analysis Quick peek Open full term page

AI and Machine Learning premium Bounding region A bounding region is Document Intelligence output that identifies an element location by page number and polygon coordinates on the page. Document Intelligence fundamentals 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Layout model A layout model in Azure AI Document Intelligence analyzes a document structure and returns extracted text, tables, selection marks, paragraphs, roles, and layout information. Microsoft Learn describes layout capabilities for prebuilt extraction, Markdown or text output, and search enrichment scenarios that need structured document content. Document Intelligence fundamentals 12 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning verified Optical character recognition Optical character recognition is an Azure AI capability that extracts printed or handwritten text from images and documents. In Azure Vision and Document Intelligence, Read OCR returns text lines, words, locations, confidence scores, languages, and document-aware structure for downstream search, automation, and analysis. AI platform and search intermediate 7 commands Aliases: OCR, Optical Character Recognition, Azure OCR, Azure AI Vision OCR, Document Intelligence Read, text extraction from images Quick peek Open full term page

AI and Machine Learning verified OCR OCR, or optical character recognition, is an Azure AI capability for extracting printed and handwritten text from images and documents. Azure Vision and Document Intelligence expose Read OCR models that return text lines, words, locations, and confidence scores for supported languages and deployment scenarios. Azure AI services intermediate 5 commands Aliases: Optical character recognition, Read OCR, Azure Vision OCR, text extraction from images Quick peek Open full term page

AI and Machine Learning verified Read model In Azure AI Document Intelligence, the Read model is the prebuilt OCR model that extracts printed and handwritten text, words, lines, bounding locations, and languages from documents and images. It is also the text foundation used by layout, prebuilt, and custom document models. Document Intelligence fundamentals 5 commands Aliases: Document Intelligence Read model, prebuilt-read, Read OCR, OCR read model, Azure AI Read model Quick peek Open full term page

AI and Machine Learning verified Receipt model The Document Intelligence receipt model is a prebuilt model that uses OCR and deep learning to analyze sales receipts and return structured fields such as merchant, transaction date, tax, total, and line-item details. It supports printed and handwritten receipts in varying formats and quality. Document Intelligence intermediate 5 commands Aliases: prebuilt receipt model, Document Intelligence receipt model, receipt data extraction, prebuilt-receipt Quick peek Open full term page

AI and Machine Learning field-manual-complete Translator Azure Translator in Foundry Tools is a cloud-based neural machine translation service for building multilingual applications. It translates text and documents across supported languages through REST APIs and SDKs, and it can use custom translation systems for terminology, domain language, and workflow-specific localization. AI platform and search intermediate 5 commands Aliases: Azure Translator, Azure AI Translator, Text Translation, machine translation, document translation Quick peek Open full term page

AI and Machine Learning complete Single-service AI account An Azure AI services resource dedicated to one service kind, with its own endpoint, keys, region, SKU, monitoring, and billing. AI services intermediate 5 commands Aliases: single service AI resource, single-service Azure AI resource, dedicated AI services account Quick peek Open full term page

AI and Machine Learning premium Search document A search document is a single searchable JSON record stored in an Azure AI Search index. It contains field values defined by the index schema, including a unique key, retrievable content, filters, facets, sortable values, and sometimes vector fields. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search document, search index document, indexed document, searchable document, document in search index Quick peek Open full term page

Analytics learning-path-anchor Synapse SQL script A Synapse SQL script is a saved T-SQL authoring artifact in Synapse Studio. Users create or import scripts in the Develop hub, connect them to a dedicated or serverless SQL pool, run queries, review tabular results, export output, and organize scripts into folders. Synapse Analytics fundamentals 5 commands Aliases: SQL script in Synapse, Synapse Studio SQL script, T-SQL script artifact, Synapse query script Quick peek Open full term page

AI and Machine Learning learning-path-anchor Synonym map A synonym map helps Azure AI Search understand that different words can mean the same thing for search. Users may type laptop, notebook, ultrabook, or a product nickname, while the indexed document uses only one of those terms. The synonym map teaches the search service to expand or rewrite the query so relevant documents... Azure AI Search intermediate 5 commands Aliases: AI Search synonym map, search synonyms, synonymMaps, equivalent terms map Quick peek Open full term page

Monitoring and Observability learning-path-anchor Telemetry events Telemetry events are breadcrumbs that say something meaningful happened in an application. They are different from raw logs because they usually have a clear event name and structured properties. A checkout completed, a document uploaded, a feature flag changed, or a device registered can all be telemetry events. In Azure Monitor Application Insights, these events help teams understand behavior, investigate incidents, and measure product outcomes. Good events are intentional, consistently named, and tied to the que Application data advanced 5 commands Aliases: event telemetry, custom events, Application Insights events, Azure Monitor events Quick peek Open full term page

Analytics learning-path-anchor Databricks notebook A collaborative Azure Databricks document for code, SQL, visualizations, exploration, jobs, and ML workflows attached to compute. Databricks fundamentals 4 commands Aliases: Azure Databricks notebook, Databricks workspace notebook, interactive notebook Quick peek Open full term page

AI and Machine Learning verified Responsible AI Microsoft Learn describes Responsible AI as an approach to developing, assessing, and deploying AI systems safely, ethically, and with trust. In Azure Machine Learning, it connects fairness, reliability, privacy, security, transparency, accountability, and operational tooling so teams can evaluate models before production use. Responsible AI fundamentals 8 commands Aliases: Responsible Artificial Intelligence, RAI, trustworthy AI, AI governance, responsible machine learning Quick peek Open full term page

Databases premium Change feed processor A database capability or setting in Azure Cosmos DB that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context. Azure Cosmos DB fundamentals 15 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Conflict resolution policy the container-level Cosmos DB setting that defines how write conflicts are resolved when more than one region can update the same data Cosmos DB intermediate 15 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning command-rich Data source in AI Search Data source in AI Search is documented by Microsoft as part of the Azure AI Search area in Azure. Azure AI Search intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning command-rich Search admin key A search admin key is one of the generated API keys for an Azure AI Search service that allows full read-write data-plane access. It can create, update, or delete indexes, indexers, data sources, and documents, so it must be protected, rotated, and replaced with role-based access when possible. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search admin key, search service admin key, Azure Search API admin key, primary admin key, secondary admin key Quick peek Open full term page

Databases premium Dedicated gateway Dedicated gateway is documented by Microsoft as part of the Azure Cosmos DB area in Azure. Azure Cosmos DB intermediate 11 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB trigger Cosmos DB trigger is a registered JavaScript pre-trigger or post-trigger for Cosmos DB for NoSQL operations inside a container. It runs server-side logic around an item operation when application code explicitly asks Cosmos DB to use it. You see it when teams maintain legacy NoSQL scripts, troubleshoot write behavior, or compare triggers with change feed and Azure Functions. The production check is whether the trigger is necessary, explicitly invoked, partition-scoped, tested, and safer than handling the logic in application code. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 8 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Scoring profile A scoring profile is an Azure AI Search index setting that boosts ranking for matches that meet business rules. It can weight text fields or apply functions for freshness, distance, magnitude, or tags, and a query chooses one profile to influence returned order. Azure AI Search fundamentals 8 commands Aliases: Azure AI Search scoring profile, search relevance profile, relevance scoring profile, scoringProfiles, boosting profile Quick peek Open full term page

Management and Governance premium Azure Policy Azure Policy is a governance service for creating, assigning, and managing rules that evaluate Azure resources. Azure Policy fundamentals 7 commands Aliases: Policy Quick peek Open full term page

Databases premium Cosmos DB spatial index Cosmos DB spatial index is an indexing-policy entry that helps Cosmos DB for NoSQL query valid GeoJSON points, lines, polygons, and multipolygons efficiently. It makes location-aware queries practical without scanning every item in a container. You see it when applications store coordinates, service areas, delivery zones, device positions, or map features in JSON items. The production check is whether GeoJSON shape, indexed path, query function, and partition strategy all line up. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB vector embedding policy Cosmos DB vector embedding policy is the container policy that defines vector paths, dimensions, data type, and distance function for embeddings stored in Cosmos DB for NoSQL. It tells Cosmos DB which item properties contain embeddings and how those vectors should be interpreted. You see it when teams build semantic search, recommendation, image similarity, or retrieval-augmented generation features on Cosmos DB data. The production check is whether the vector path, dimensions, data type, and distance function are correct before production data lands. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB vector index Cosmos DB vector index is an indexing-policy configuration that improves vector-search latency and RU efficiency for embeddings in Cosmos DB for NoSQL. It helps Cosmos DB find similar vectors without comparing every embedding in a container one by one. You see it when queries use VectorDistance, hybrid search combines text and vectors, or teams tune flat, quantized flat, and DiskANN-style index choices. The production check is whether the index type, vector path, dimensions, filters, and recall target fit the workload. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Compute premium Azure Functions Azure Functions is Azure serverless compute for running code from triggers such as HTTP requests, queues, timers, events, and service integrations without managing servers. Serverless compute intermediate 6 commands Aliases: Functions, Function App, serverless functions Quick peek Open full term page

Databases premium Bulk executor Bulk executor is the Azure Cosmos DB capability or library pattern for sending many create, update, patch, delete, or import operations efficiently instead of processing documents one at a time. Data platform intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB serverless Cosmos DB serverless is the Cosmos DB capacity mode that bills for request units consumed and storage used instead of pre-provisioned RU/s. It lets intermittent or unpredictable workloads use Cosmos DB without reserving throughput all day. You see it when a new account is created, a workload has bursty usage, or a team compares serverless with provisioned throughput. The production check is whether consumption billing, throughput limits, regional design, and workload shape fit the production objective. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB serverless account Cosmos DB serverless account is a Cosmos DB account created with the serverless capacity mode so databases and containers are billed by consumed request units and storage. It turns serverless billing into an account-level design choice rather than a per-container toggle. You see it when teams create accounts for prototypes, seasonal apps, low-duty-cycle workloads, or services with uncertain early demand. The production check is whether the account capacity mode supports the API, scale target, compliance need, and migration plan. Document the decision in code, templates, metrics, and runbooks. Azure Cosmos DB intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page