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AI and Machine Learning premium Named entity recognition Named entity recognition means an Azure AI Language capability that detects people, organizations, locations, dates, quantities, and other named items in text. You see it when teams extract structured signals from support tickets, clinical notes, contracts, emails, search content, or compliance documents. Think of it as a text analysis helper that suggests entities with confidence, not an automatic business decision engine. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path. Azure AI Language fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Analyze Analyze is the Azure AI Search operation that shows how a selected analyzer breaks supplied text into tokens for an index. Text analysis intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Analyzer An analyzer in Azure AI Search processes text during indexing and querying by applying character filters, tokenizers, and token filters. Text analysis intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Language service Azure Language is a cloud-based Azure AI service for natural language processing. It provides core text analysis capabilities such as language detection, PII detection, named entity recognition, text analytics for health, and other features through Microsoft Foundry, REST APIs, client libraries, containers, and agent tools. Azure AI services fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Sentiment analysis Sentiment analysis in Azure AI Language evaluates text and returns sentiment labels such as positive, neutral, negative, or mixed, with confidence scores at document and sentence level. Microsoft has announced retirement of this Azure Language feature after the support window, so production planning should include migration options. Azure AI Language fundamentals 5 commands Aliases: Azure sentiment analysis, text sentiment analysis, sentiment and opinion mining, Azure AI Language sentiment 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 learning-path-anchor Text to speech Text to speech in Azure AI Speech converts written text or SSML into synthesized audio using neural voices, custom voice options, language support, and APIs. Teams use it to add spoken responses to apps, contact centers, accessibility tools, devices, and media workflows while governing region, keys, networking, and quota. Azure AI services fundamentals 4 commands Aliases: Text to speech, text to speech, Azure Text to speech, Microsoft Learn Text to speech, TTS, speech synthesis, Azure AI Speech synthesis, neural voices, SSML speech Quick peek Open full term page

Databases premium Cosmos DB full-text search Cosmos DB full-text search means searching natural-language text stored in Cosmos DB for NoSQL items. It is the practical label operators use when they decide how application data should be modeled, queried, protected, and monitored in Azure Cosmos DB. In plain English, it explains where developers, platform engineers, and support teams meet: the application wants fast data access, while the platform controls scale, cost, security, and recovery. A good glossary entry helps the team know which setting to inspect, which owner to involve, and which symptoms prove the design works. Azure Cosmos DB intermediate 5 commands Aliases: Azure Cosmos DB full-text search, cosmos db full-text search 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

Monitoring and Observability premium Change Analysis Change Analysis helps identify changes that may have affected application or resource behavior. Operational hygiene fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Full-text search in Cosmos DB Full-text search in Cosmos DB is the Azure Cosmos DB for NoSQL capability that lets selected text fields be indexed and queried by meaningfully matching words instead of only exact values. Teams use it to build search features inside a Cosmos DB application when text relevance, hybrid retrieval, or document search must stay close to transactional data. In daily Azure work, it shows up when engineers design product search, rank support articles, combine text and vector retrieval, tune index policy, or investigate why a query misses expected documents. Azure Cosmos DB advanced 4 commands Aliases: Cosmos DB full-text search, full text search for NoSQL, Cosmos DB text search Quick peek Open full term page

Databases premium Cosmos DB full text index A Cosmos DB full-text index is a specialized NoSQL indexing policy path used with full-text search and scoring over text fields. Cosmos DB intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning complete Speech to text Microsoft Learn describes Azure Speech to text as a capability that converts audio streams or files into text. It supports real-time transcription, fast transcription, batch transcription, and custom speech for domain-specific recognition, using SDKs, REST APIs, and related tools. workflows. Azure AI services fundamentals 5 commands Aliases: speech recognition, audio transcription, voice transcription, Azure Speech to text Quick peek Open full term page

Management and Governance complete Cost Analysis Cost Analysis is an Azure glossary term for the Cost Management workspace for exploring Azure spending by scope, service, resource, tag, time period, meter, and trend. In practice, it helps teams reason about understanding where money is going, why it changed, and which owner should respond before budgets or forecasts are missed using live Azure evidence, documented ownership, and Microsoft Learn guidance. It should be reviewed through security, reliability, operations, cost, and performance lenses before production changes. Cost Management beginner 3 commands Aliases: Azure Cost Analysis, Cost Management Cost Analysis Quick peek Open full term page

AI and Machine Learning premium Search analyzer A search analyzer is the Azure AI Search text-processing component that breaks strings into searchable tokens during indexing and query execution. Built-in, language, or custom analyzers control tokenization, normalization, stemming, stop words, and other lexical behavior for searchable string fields. Azure AI Search fundamentals 8 commands Aliases: Azure AI Search analyzer, text analyzer, search text analyzer, custom analyzer, language analyzer 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 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 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 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 Key phrase extraction Key phrase extraction controls how text-mining workloads turn comments, claims, documents, and support tickets into searchable phrases for search, analytics, routing, and review. Teams see it in azure ai language resources, azure ai search skillsets. It is not keyword search, entity recognition, sentiment analysis, embeddings, semantic ranking, or manually authored metadata tags; confusing them can create missing important topics, noisy tags. 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. Language and search enrichment Intermediate 5 commands Aliases: Azure Language key phrase extraction, key phrase skill, KeyPhraseExtractionSkill, key phrases Quick peek Open full term page

AI and Machine Learning premium Agent tool Agent tool is a capability an agent can invoke to search, run code, query data, call APIs, or perform a configured action. In everyday Azure work, teams use it to let an agent go beyond text generation by grounding answers or carrying out controlled work. The useful evidence is tool type, configuration, authentication method, allowed Microsoft Foundry intermediate 4 commands Aliases: Foundry agent tool, AI agent tool, agent built-in tool, agent custom tool Quick peek Open full term page

AI and Machine Learning premium Azure AI Language Azure AI Language is the Azure natural-language processing service for analyzing and understanding text with prebuilt and customizable language capabilities. AI services intermediate 4 commands Aliases: Azure Language, Azure Language in Foundry Tools, Azure Language service, Language in Foundry Tools, Language service Quick peek Open full term page

AI and Machine Learning premium Azure AI Vision The Azure vision service that analyzes images and visual content for tasks such as OCR, object information, captions, tags, and image understanding. AI services intermediate 4 commands Aliases: Azure Vision, Computer Vision, Image Analysis, Vision in Foundry Tools Quick peek Open full term page

AI and Machine Learning premium Image generation model Image generation model is an Azure OpenAI or Foundry model deployment that creates images from prompts, commonly using the current gpt-image model family. Azure OpenAI intermediate 4 commands Aliases: Azure OpenAI image model, gpt-image model, image generation model, Image generation model, text-to-image model 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

Management and Governance learning-path-anchor Tag value A tag value is the answer attached to a tag name. If the tag name is Environment, the value might be Production, Test, or Sandbox. If the name is CostCenter, the value might be a finance code. Values are where governance becomes meaningful, because they separate one owner, workload, data class, or lifecycle state from another. A good value is standardized, approved, and easy to query. A bad value is free-text chaos: prod, production, PROD, live, and critical all trying to mean the same thing. Tags and naming fundamentals 5 commands Aliases: tag values, Azure tag value, resource tag value, tag metadata value Quick peek Open full term page

AI and Machine Learning premium AI token An AI token is a unit of text processed by a language model. Azure AI and Foundry model quotas, cost, and rate limits commonly use tokens to measure prompt input, generated output, and throughput such as tokens per minute. Azure OpenAI and Foundry Models fundamentals 3 commands Aliases: model token, LLM token, input token, output token, TPM 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

Analytics learning-path-anchor Databricks SQL warehouse A Databricks SQL compute resource for interactive queries, dashboards, BI tools, and governed analytics workloads. Databricks intermediate 4 commands Aliases: SQL warehouse, Databricks SQL compute, serverless SQL warehouse Quick peek Open full term page

AI and Machine Learning field-manual-complete Language detection Language detection is a prebuilt Azure Language capability that identifies the predominant language of submitted text. It returns a language name, code, confidence score, script name, and script code, supports more than 100 languages in primary scripts, and can use country hints for ambiguous input. Azure AI services intermediate 8 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 field-manual-complete Vision service Azure AI Vision is a cloud service for analyzing images and visual content. It returns information such as captions, detected objects, extracted text, tags, spatial signals, and face-related attributes so applications can automate image understanding, search, review, and workflow decisions. Azure AI Vision intermediate 5 commands Aliases: Azure AI Vision, Computer Vision, Vision API, Azure Vision 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 Computer Vision the Azure AI capability that helps applications understand images, read text, detect visual features, and return structured insights from pictures or screenshots Azure AI services fundamentals 12 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

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

Developer Tools premium Azure CLI A cross-platform command-line tool for connecting to Azure and executing administrative commands on Azure resources. Command line fundamentals 6 commands Aliases: az, Azure command-line interface Quick peek Open full term page

Databases premium DTU model The DTU model is an Azure SQL Database purchasing model that bundles compute, memory, and I/O into service tiers and service objectives such as Basic, Standard, and Premium. Azure SQL fundamentals 6 commands Aliases: DTU purchasing model, Azure SQL DTU model Quick peek Open full term page

AI and Machine Learning premium Exhaustive KNN Exhaustive KNN is a vector search algorithm that calculates distances across all candidate vectors to return the exact nearest neighbors for a query. Teams use it to test vector relevance, produce exact nearest-neighbor baselines, or serve smaller vector workloads where accuracy matters more than approximate search speed. It is not HNSW approximate search, semantic ranking, a text analyzer, an embedding model, or a fix for poor chunking and low-quality vectors. In production, confirm index schema, vector dimensions, algorithm configuration, vector profile, query k value, exhaustive flag, latency, throttling, relevance test set, and comparison with HNSW results before treating the design. Azure AI Search advanced 6 commands Aliases: exhaustive k-nearest neighbors, brute-force vector search, exhaustive vector search Quick peek Open full term page

Analytics premium External file format An External file format is a database object that describes the file type, delimiter, compression, and parsing options used to read or write external data. Teams use it to tell SQL engines how to interpret external files such as delimited text, Parquet, ORC, or compressed data before external tables and CETAS jobs use them. It is not the data source location, the external table schema, the actual lake file, or a guarantee that every file in a folder has the same structure. Synapse SQL and data virtualization intermediate 6 commands Aliases: CREATE EXTERNAL FILE FORMAT, PolyBase file format, Synapse external file format Quick peek Open full term page

Analytics premium Fabric capacity A Fabric capacity is a dedicated pool of compute resources that powers Microsoft Fabric workloads assigned to workspaces. Teams use it to provide shared compute for Fabric workspaces, reports, lakehouses, warehouses, notebooks, pipelines, and real-time workloads under an assigned capacity SKU. It is not a single workspace, a Power BI report, a storage account, a Databricks cluster, or a guarantee that every tenant workload has unlimited performance. In production, confirm capacity name, SKU, region, admin list, assigned workspaces, workload settings, metrics app evidence, throttling, refresh history, pause state, billing owner, and reservation or scaling plan before treating the design as. Microsoft Fabric intermediate 6 commands Aliases: Microsoft Fabric capacity, Fabric F SKU, Fabric compute capacity 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 Facetable field A Facetable field is an Azure AI Search index field marked so the service can return facet buckets, counts, or filter choices for query results. Teams use it to let search applications show refiners such as category, brand, location, date range, status, or price band without scanning and counting results in application code. It is not a full-text analyzer, vector field setting, ranking rule, security trim, or proof that every facet value is clean, useful, or safe to expose to users. Azure AI Search intermediate 6 commands Aliases: Azure AI Search facetable field, facetable index field, facet-enabled field, facetable attribute Quick peek Open full term page

Databases premium PostgreSQL connection string Application configuration that identifies the PostgreSQL server, database, port, authentication method, and TLS path used by a workload. Data platform intermediate 6 commands Aliases: PostgreSQL connection string, postgresql connection string, connection string, Azure Database for PostgreSQL connection string, FQDN, port 5432, port 6432 Quick peek Open full term page

AI and Machine Learning premium Azure AI Search index An Azure AI Search index is the place where your application searches. It is not just a pointer to a database or blob container. It is a separate searchable structure with documents, fields, and rules for how text, filters, facets, semantic ranking, and vectors behave. If the index schema is wrong, the search experience feels wrong even when the source data is good. Developers and operators use indexes to make. AI platform and search intermediate 5 commands Aliases: Azure AI Search index, search index, AI Search index, azure-ai-search-index Quick peek Open full term page

Analytics premium Azure Data Explorer A fully managed, high-performance analytics service for near-real-time analysis of large telemetry, log, event, and time-series datasets. Real-time analytics intermediate 5 commands Aliases: ADX, Kusto Quick peek Open full term page

Migration premium Azure Migrate Azure Migrate helps organizations discover, assess, plan, and migrate servers, databases, web apps, virtual desktops, and other workloads to Azure with reduced risk. Migration planning intermediate 5 commands Aliases: Migrate, Azure Migrate hub, migration assessment Quick peek Open full term page