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Showing 50 of 266 matching terms. Narrow the search to reduce the list.
Developer Tools
premium
Azure PowerShell
Azure PowerShell is Microsoft’s Az module collection for managing Azure resources from PowerShell.
Command line
fundamentals
7 commands
Aliases: Az PowerShell module, Az module, Azure PowerShell, Azure PowerShell cmdlets, PowerShell for Azure
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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
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Developer Tools
premium
Azure Developer CLI
An open-source developer command-line tool that accelerates provisioning, deployment, pipeline setup, and monitoring for application resources on Azure.
Developer workflow
fundamentals
6 commands
Aliases: azd
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Storage
premium
AzCopy
AzCopy is the Microsoft command-line utility used to move data into, out of, and between Azure Storage services such as blobs and file shares. In Azure, teams encounter it when storage teams migrate data, seed analytics lakes, copy backups, or synchronize large folders without writing a custom transfer program. The useful question is what behavior
Blob Storage
fundamentals
4 commands
Aliases: AzCopy v10, Azure Storage AzCopy, azcopy copy, azcopy sync
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Storage
premium
Azure Storage Explorer
Azure Storage Explorer is a standalone app for Windows, macOS, and Linux that helps users connect to and manage Azure Storage data and resources through a graphical interface.
Storage tooling
fundamentals
4 commands
Aliases: No aliases yet
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Developer Tools
premium
Cloud Shell
Azure Cloud Shell is a browser-based, authenticated, preconfigured shell experience for managing Azure resources with tools such as Azure CLI and Azure PowerShell.
Command line
fundamentals
3 commands
Aliases: No aliases yet
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Management and Governance
premium
Data lineage
Metadata that describes how data moves and transforms across systems.
Data governance
advanced
4 commands
Aliases: No aliases yet
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Compute
verified
VM run command
VM run command is an Azure feature for running scripts inside a virtual machine through Azure management access, commonly for diagnostics or remediation. It relies on the VM agent and is useful when normal remote access is blocked, unavailable, or operationally inconvenient.
Virtual Machines
intermediate
5 commands
Aliases: VM run command, vm run command
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App platform
complete
Startup command
Microsoft Learn describes startup commands for App Service on Linux as commands or scripts the platform runs to start an application container. They tell the runtime how to launch the app process, such as a Java JAR, Node script, Python startup file, .NET DLL, or custom shell script.
App Service configuration
intermediate
5 commands
Aliases: startup-command, Startup command, App Service startup command, Linux App Service startup command, startup file, appCommandLine
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AI and Machine Learning
field-manual-ready
Model lineage
Model lineage traces how a model version was created, evaluated, approved, deployed, monitored, and changed over time.
Azure Machine Learning
fundamentals
4 commands
Aliases: No aliases yet
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Storage
command-rich
Table partition key
A Table partition key is the value that groups related entities in Azure Table Storage. Think of it as the first address line for a record. Entities with the same PartitionKey sit in the same logical partition and can be queried together more efficiently. The PartitionKey combines with RowKey to uniquely identify one entity. Choosing it well is a design decision, not just a...
Storage platform
intermediate
5 commands
Aliases: Azure Table PartitionKey, Table Storage PartitionKey, Table partition key value, PartitionKey property
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AI and Machine Learning
premium
Machine Learning job
A Machine Learning job is a submitted unit of work in Azure Machine Learning, such as command, sweep, pipeline, or AutoML execution. Jobs run code on selected compute, consume inputs, produce outputs, and record logs, metrics, lineage, and status. That context supports safer operational decisions.
Machine learning
intermediate
4 commands
Aliases: Azure ML job, ML job
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AI and Machine Learning
premium
ML component
ML component is a reusable Azure Machine Learning step definition that packages code, inputs, outputs, environment, and command behavior for pipelines. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline.
Azure Machine Learning
intermediate
4 commands
Aliases: AML component, Azure ML component, machine learning component, pipeline component
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Integration
premium
Service Bus queue
A Service Bus queue is a brokered messaging entity that stores messages until one receiver can process them. It supports decoupled point-to-point communication, delivery locks, dead-letter handling, duplicate detection, sessions when enabled, and operational settings such as size, time to live, and forwarding.
Messaging
fundamentals
4 commands
Aliases: Azure Service Bus queue, brokered queue, point-to-point Service Bus queue
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Containers
learning-path-anchor
Target port
A target port tells Azure Container Apps where to deliver traffic inside your container. Public or internal ingress may expose an endpoint, but the app still has to listen on a specific port. If the container listens on 8080 and ingress targets 80, users may see timeouts, failed probes, or gateway errors. The setting is small, but it is often the difference between the app being deployed and the app being reachable. It should match the application startup command, Dockerfile, framework port, and health probes.
Azure Container Apps
intermediate
5 commands
Aliases: container target port, Container Apps target port, ingress targetPort, container ingress port
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Management and Governance
learning-path-anchor
Template validation
Template validation checks whether an ARM or Bicep deployment is structurally and semantically acceptable before deployment.
ARM deployments
intermediate
5 commands
Aliases: Template validation, template validation, Azure Template validation, ARM Template validation, ARM validation, deployment validation, az deployment validate
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Management and Governance
learning-path-anchor
Tenant deployment
A tenant deployment is a Resource Manager deployment executed at Microsoft Entra tenant scope.
ARM deployments
intermediate
5 commands
Aliases: Tenant deployment, tenant deployment, Azure Tenant deployment, tenant scope deployment, az deployment tenant, ARM tenant deployment
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Analytics
learning-path-anchor
Databricks metastore
The top-level Unity Catalog container for catalogs, schemas, tables, volumes, models, functions, and governance permissions.
Databricks
intermediate
4 commands
Aliases: Unity Catalog metastore, Databricks Unity Catalog metastore, metastore
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Analytics
learning-path-anchor
Databricks MLflow
The managed MLflow experience in Azure Databricks for experiments, runs, metrics, artifacts, model lineage, and MLOps evidence.
Databricks
fundamentals
4 commands
Aliases: MLflow on Databricks, Databricks experiment tracking, MLflow tracking
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Analytics
learning-path-anchor
Databricks schema
A Unity Catalog namespace under a catalog that groups tables, views, volumes, models, functions, and permissions.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog schema, Databricks database schema, schema in Unity Catalog
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Analytics
learning-path-anchor
Databricks table
A governed Databricks data object, commonly managed, external, or foreign, queried through Unity Catalog and optimized for analytics.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog table, Delta table in Databricks, Databricks managed table
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Analytics
command-rich
Synapse workspace
A Synapse workspace is the main container where a team builds and operates Azure Synapse Analytics. It gives the team one named place for SQL pools, Spark pools, pipelines, notebooks, linked services, access rules, monitoring, and the connection to the default data lake. The workspace is not just a folder in the portal; it...
Analytics platform
fundamentals
9 commands
Aliases: Azure Synapse workspace, Synapse Analytics workspace, workspace in Azure Synapse, Synapse analytics boundary
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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
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Integration
command-rich
Dead-letter reason
Metadata that explains why a Service Bus message was dead-lettered.
Messaging and eventing
intermediate
6 commands
Aliases: No aliases yet
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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
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Storage
command-rich
Table row key
A Table row key is the unique name of an entity inside one Azure Table partition. PartitionKey gets you to the right group; RowKey identifies the exact record in that group. Together they form the entity primary key. RowKey design often carries an order ID, device ID, timestamp pattern, sequence number, or composite value. It matters because point reads, updates, deletes, duplicate detection, and...
Storage platform
intermediate
5 commands
Aliases: Azure Table RowKey, Table Storage RowKey, Table row key value, RowKey property
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Analytics
command-rich
Watermark column
In Azure Data Factory incremental copy patterns, a watermark column is a source column, often a last-modified timestamp or increasing key, used to identify rows created or changed since the previous run. The maximum value becomes the next stored watermark.
Data engineering and analytics
intermediate
5 commands
Aliases: incremental copy watermark column, high watermark column, delta load column, LastModified watermark
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Databases
command-rich
Cosmos DB for Apache Cassandra
Azure Cosmos DB for Apache Cassandra is a managed NoSQL database service that supports Cassandra workloads using CQL, drivers, and compatible tooling.
Data platform
intermediate
4 commands
Aliases: No aliases yet
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Databases
command-rich
Cosmos DB for Apache Gremlin
Azure Cosmos DB for Apache Gremlin is a managed graph database service for storing, querying, and traversing graph data with the Gremlin language.
Data platform
intermediate
4 commands
Aliases: No aliases yet
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Databases
command-rich
Cosmos DB for PostgreSQL
Azure Cosmos DB for PostgreSQL is a managed PostgreSQL service with Citus distributed tables, currently on a retirement path and not recommended for new projects.
Data platform
intermediate
4 commands
Aliases: No aliases yet
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Databases
command-rich
Cosmos DB for Table
Azure Cosmos DB for Table is a managed NoSQL key-value and table API compatible with Azure Table storage SDKs and tools.
Data platform
intermediate
4 commands
Aliases: No aliases yet
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Storage
command-rich
Primary storage region
The primary storage region is the home region for an Azure Storage account. When an application writes blobs, files, queues, or tables under normal conditions, it writes to the primary region. Microsoft Learn anchors this term in Data redundancy - Azure Storage, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended. In field use, start with the technical boundary: Technically.
Storage platform
intermediate
4 commands
Aliases: No aliases yet
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Storage
command-rich
Secondary storage region
The secondary storage region is the other region involved when an Azure Storage account uses geo-redundant options such as GRS or GZRS. Under normal conditions, applications write to the primary region, and Azure asynchronously copies data to the secondary region. Microsoft Learn anchors this term in Data redundancy - Azure Storage, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended..
Storage platform
intermediate
4 commands
Aliases: No aliases yet
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AI and Machine Learning
field-manual-ready
ML job
An ML job is a submitted unit of work in Azure Machine Learning, such as training, evaluation, batch scoring, or a pipeline step.
Azure Machine Learning
intermediate
4 commands
Aliases: AML job, Azure ML job, command job, machine learning job
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AI and Machine Learning
premium
Azure OpenAI Service
Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls.
Generative AI
fundamentals
11 commands
Aliases: Azure OpenAI
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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
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Databases
premium
Cosmos DB physical partition
Cosmos DB physical partition means a fully managed internal storage and compute partition that hosts ranges of logical partition keys in Azure Cosmos DB. In plain English, it is the thing developers and operators check when they need to understand how data access really works. It connects the application model to automatic scale-out, replica placement, RU distribution, and operational signals such as hot partition diagnostics. For a production team, it turns vague database talk into a specific thing to inspect in the portal, SDK code, templates, metrics, and incident notes.
Azure Cosmos DB
intermediate
7 commands
Aliases: No aliases yet
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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
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Analytics
premium
Databricks job
A scheduled or triggered Databricks workflow that runs one or more tasks using configured compute, parameters, retries, notifications, and access controls.
Azure Databricks
fundamentals
7 commands
Aliases: Databricks workflow job, Lakeflow Job, Databricks Jobs
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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
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Integration
premium
Capacity unit
A capacity measure used by Event Hubs Dedicated clusters.
Messaging and eventing
intermediate
6 commands
Aliases: No aliases yet
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Databases
premium
Conflict resolution
the way Azure Cosmos DB decides the winning version when concurrent writes from multiple regions change the same item or logical record
Data platform
intermediate
6 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB logical partition
Cosmos DB logical partition means the group of items in a container that share the same partition key value. 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
6 commands
Aliases: Azure Cosmos DB logical partition, cosmos db logical partition
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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
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Analytics
premium
Databricks access connector
A first-party Azure resource that gives Azure Databricks a managed identity for Unity Catalog storage credentials and other governed service access.
Azure Databricks
intermediate
6 commands
Aliases: Access Connector for Azure Databricks, Azure Databricks access connector, Databricks managed identity connector
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Analytics
premium
Databricks catalog
The top-level Unity Catalog namespace that organizes schemas, tables, views, volumes, models, functions, permissions, lineage, and governed data ownership.
Azure Databricks
fundamentals
6 commands
Aliases: Unity Catalog catalog, Azure Databricks catalog, catalog object
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AI and Machine Learning
premium
Experiment
An Experiment in Azure Machine Learning groups related runs so parameters, metrics, artifacts, models, and lineage can be tracked and compared. Teams use it to organize model training, evaluation, and tuning work so teams can compare runs and reproduce how a model version was produced. It is not a deployed endpoint, a registered model, a notebook file, a compute cluster, or proof that a model is fair, secure, or production-ready. In production, confirm workspace, experiment name, run IDs, parameters, metrics, artifacts, data version, environment, compute target, model registration, owner, and promotion criteria before treating the design as healthy or ready.
Machine learning
intermediate
6 commands
Aliases: Azure ML experiment, MLflow experiment, machine learning experiment
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Databases
premium
Foreign key
A foreign key is a column or set of columns that links rows in one table to key values in another table and helps enforce referential integrity. Teams use it to keep child records such as orders, invoices, payments, devices, or claim lines tied to valid parent records instead of allowing orphaned data to silently enter the database. It is not an index by itself, a security boundary, a substitute for business validation, or an enforced guarantee in every Azure analytics engine that can store a declared relationship.
Relational database
intermediate
6 commands
Aliases: FK, foreign key constraint, referential constraint, SQL foreign key
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Integration
premium
Lock duration
Microsoft Learn describes Service Bus lock duration as the time a peek-locked message remains unavailable to other receivers while one receiver processes it. The default is one minute, and queues or subscriptions can be configured differently. Operators should review it with the connected Azure resource settings.
Messaging and eventing
intermediate
6 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Pipeline job
In Azure Machine Learning, a pipeline job is a parent job that orchestrates connected command or sweep jobs as steps. It defines inputs, outputs, compute, settings, and step dependencies so reusable training, evaluation, or data-preparation workflows can run repeatably in a workspace.
Machine learning
intermediate
6 commands
Aliases: No aliases yet
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