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Management and Governance
premium
Cache freshness
Cache freshness describes how current cached data or a cached response is compared with the origin source.
Dashboard operations
advanced
2 commands
Aliases: No aliases yet
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Databases
premium
Cache hit ratio
Cache hit ratio is the percentage of cache lookups that are served from cache instead of going back to the origin system.
Database
advanced
2 commands
Aliases: No aliases yet
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Storage
premium
Azure HPC Cache
Azure HPC Cache was a managed Azure file-caching service for HPC workloads; Microsoft retired the service on September 30, 2025, so current work should focus on migration or historical inventory.
Retired HPC caching
advanced
5 commands
Aliases: HPC Cache, Azure Storage Cache
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Databases
premium
Cosmos DB integrated cache
Cosmos DB integrated cache means a dedicated gateway feature that serves cached point reads and queries without consuming request units for repeated reads. 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 integrated cache, cosmos db integrated cache
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Databases
premium
Integrated cache
Integrated cache controls how read-heavy Cosmos DB API for NoSQL applications reduce latency and request-unit consumption by reusing cached point reads and query results. Teams see it in azure cosmos db accounts, dedicated gateway configuration. It is not Azure Cache for Redis, a client-side memory cache, analytical store, a materialized view, or a replacement for correct partitioning; confusing them can create unexpected RU spending, stale reads. 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.
Azure Cosmos DB
Intermediate
5 commands
Aliases: Cosmos DB integrated cache, Azure Cosmos DB integrated cache, dedicated gateway cache, item cache, query cache
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Analytics
premium
Kusto cache policy
Kusto cache policy controls which Azure Data Explorer data is kept in hot local cache versus colder storage for faster queries and managed cost.
Azure Data Explorer policies
Advanced
5 commands
Aliases: ADX cache policy, hot cache policy, Kusto hot cache, Azure Data Explorer caching policy
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Databases
premium
Azure Cache for Redis
A managed in-memory data store based on Redis that improves application performance by caching frequently accessed data close to workloads.
Cache
fundamentals
4 commands
Aliases: Azure Redis Cache, Redis cache, managed Redis cache
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AI and Machine Learning
premium
Enrichment cache
An enrichment cache stores outputs from document cracking and skill execution in Azure Storage so AI enrichment pipelines can reuse existing processed content.
Azure AI Search
intermediate
4 commands
Aliases: AI Search enrichment cache, incremental enrichment cache, skillset cache
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Networking
premium
Front Door cache purge
A Front Door cache purge removes selected cached content from Azure Front Door edge locations so future requests retrieve fresh content from the origin.
Application delivery and API edge
intermediate
4 commands
Aliases: Azure Front Door cache purge, AFD cache purge, Front Door purge content
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Databases
verified
Redis cache
A managed in-memory Redis data store on Azure used to improve application latency, throughput, and resilience of frequently accessed data.
Azure Managed Redis
intermediate
7 commands
Aliases: No aliases yet
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Analytics
verified
Result set cache
Microsoft Learn describes result set caching in Azure Synapse dedicated SQL pool as a feature that stores query results in the user database for reuse. When a repeated query can use cached results, it avoids recomputation, reduces compute use, and does not consume concurrency slots.
Synapse Analytics
intermediate
7 commands
Aliases: result set caching, Synapse result set cache, SET RESULT_SET_CACHING, cached query results, dedicated SQL pool result cache
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Analytics
field-manual-complete
Synapse result-set cache
Synapse result-set cache is a dedicated SQL pool feature that persists eligible query results in the user database so repeated executions can return from cache instead of recomputing. It improves response time, reduces compute usage, and lets cached queries avoid consuming concurrency slots.
Synapse Analytics
fundamentals
7 commands
Aliases: Azure Synapse result set caching, result set cache in dedicated SQL pool, Synapse SQL result-set cache, dedicated SQL pool cached results
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Databases
verified
Redis Enterprise cache
A Redis Enterprise cache is an Azure cache instance running on Redis Enterprise rather than basic open-source Redis nodes. In Azure Cache for Redis Enterprise tiers, it provides clustered data nodes, quorum behavior, Enterprise/Enterprise Flash SKUs, modules, persistence, and active geo-replication for demanding workloads.
Azure Managed Redis
intermediate
5 commands
Aliases: Azure Cache for Redis Enterprise, Enterprise Redis cache, Enterprise cache
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Databases
verified
Redis cache shard
A Redis cache shard is a slice of the cache. Instead of forcing every key, session, counter, and hot lookup through one Redis process, the cache can divide data across multiple shards. Each shard owns part of the keyspace, so the workload has more room and more processing capacity. For a learner, the important point is simple: sharding helps a cache grow horizontally, but it also makes key design, client compatibility, monitoring, and operational change control more important.
Cache and in-memory data
fundamentals
4 commands
Aliases: Redis shard, cache shard, Redis partition
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Databases
verified
Redis cache SKU
A Redis cache SKU is the size and capability package you buy for the cache. It answers questions like how much memory the cache has, what performance level it can provide, which high-availability or scaling features are available, and how much it will cost. For Azure teams, SKU is not just a billing label. It is a design decision that affects latency, resilience, migration options, monitoring expectations, and whether the cache can support the application when traffic grows.
Cache and in-memory data
fundamentals
4 commands
Aliases: Redis SKU, cache SKU, Redis size
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Databases
verified
Redis cache tier
A Redis cache tier is the broad class of cache capability, while the SKU is the exact purchasable size inside that class. The tier tells you what kind of workload the cache is meant for: simple development, production high availability, larger scale, flash-backed capacity, or a managed enterprise-style Redis deployment. For learners, tier is the decision that says what features and operating expectations are on the table before anyone argues about the exact memory size.
Cache
intermediate
4 commands
Aliases: Redis tier, cache tier, Redis performance tier
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AI and Machine Learning
expanded
Semantic cache
A semantic cache stores previous prompts and responses with vector representations so later requests with similar meaning can reuse a cached response. In Azure, this pattern is used with services such as API Management and Azure Managed Redis to reduce latency, backend load, and LLM calls.
Azure Managed Redis and API Management
advanced
4 commands
Aliases: semantic caching, LLM semantic cache, AI gateway semantic cache, vector response cache
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Analytics
learning-path-anchor
Synapse Spark pool
A Synapse Spark pool is the workspace compute definition Azure Synapse uses to start Apache Spark sessions. It records node size, node count, autoscale behavior, runtime version, packages, and idle timeout so notebooks, Spark jobs, and pipelines get repeatable distributed processing.
Synapse Analytics
fundamentals
8 commands
Aliases: Apache Spark pool, Spark pool, Synapse Apache Spark pool, serverless Spark pool
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Analytics
learning-path-anchor
Synapse SQL CETAS
Synapse SQL CETAS means CREATE EXTERNAL TABLE AS SELECT. It creates external table metadata and exports the result of a T-SQL SELECT statement in parallel to files in Azure Storage or Azure Data Lake Storage Gen2 for later SQL or lake consumption.
Synapse Analytics
fundamentals
6 commands
Aliases: CREATE EXTERNAL TABLE AS SELECT, CETAS, Synapse CETAS, serverless SQL CETAS
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Analytics
learning-path-anchor
Synapse SQL external table
A Synapse SQL external table is database metadata that lets Synapse SQL query files stored outside the database, usually in Azure Storage or ADLS Gen2. It references an external data source, file format, and file location for governed SQL analytics.
Synapse Analytics
fundamentals
6 commands
Aliases: external table in Synapse, Synapse external table, SQL external table, external table over lake files
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Databases
learning-path-anchor
Cosmos DB dedicated gateway
Azure Cosmos DB dedicated gateway is provisioned server-side compute that fronts an account and enables the integrated cache for supported NoSQL workloads.
Azure Cosmos DB
fundamentals
3 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI
Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls.
Azure OpenAI
intermediate
8 commands
Aliases: Azure OpenAI Service
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Databases
premium
Cosmos DB provisioned throughput
Cosmos DB provisioned throughput means the request-unit-per-second capacity reserved for a database or container, either manually or with autoscale behavior 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 capacity planning, throttling prevention, RU allocation, cost control, and predictable performance for operational workloads. 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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Analytics
premium
Synapse SQL
Synapse SQL is the T-SQL analytics capability in Azure Synapse Analytics. It includes dedicated SQL pools for provisioned warehousing and serverless SQL pools for on-demand lake queries, letting teams analyze structured and semi-structured data through familiar SQL endpoints inside a Synapse workspace.
Synapse Analytics
intermediate
7 commands
Aliases: Synapse SQL engine, Azure Synapse SQL, Synapse serverless and dedicated SQL, SQL analytics in Synapse
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Databases
premium
Azure Managed Redis
Azure Managed Redis is a Microsoft-managed in-memory data store based on Redis Enterprise, used for low-latency caching, session storage, messaging, and semantic cache scenarios.
Managed cache
intermediate
6 commands
Aliases: Managed Redis, Redis Enterprise on Azure, Azure Redis Enterprise
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Databases
premium
Eventual consistency
Eventual consistency is the weakest Azure Cosmos DB consistency level, where reads can return a subset of writes and all writes become available eventually. Teams use it to favor low-latency, high-availability reads for workloads that can tolerate temporarily stale or out-of-order data. It is not strong consistency, session consistency, a conflict-resolution strategy, a cache setting, or permission to ignore user-facing correctness requirements. In production, confirm account consistency setting, client overrides, read region, write region, session tokens, replication latency, stale-read tolerance, conflict policy, and application workflows that read after writes before treating the design as healthy or ready for release.
Azure Cosmos DB
intermediate
6 commands
Aliases: eventual consistency level, Cosmos DB eventual consistency, eventually consistent reads
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Analytics
premium
Synapse SQL administrator
A Synapse SQL administrator is the Synapse RBAC role focused on serverless SQL access and SQL artifacts. It grants broad serverless SQL pool permissions plus create, read, update, and delete access to published SQL scripts, credentials, and linked services within a workspace.
Synapse Analytics
intermediate
6 commands
Aliases: Synapse SQL Administrator, Synapse SQL admin, SQL administrator in Synapse, Synapse SQL admin role
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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
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Storage
premium
Azure Managed Lustre
Azure Managed Lustre is a managed parallel file system for high-performance computing and AI workloads that need scalable, low-latency file storage in Azure.
Parallel file systems
advanced
5 commands
Aliases: Managed Lustre, Azure Managed Lustre File System, AMLFS
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Databases
premium
Azure SQL ledger
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL long-term retention
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL maintenance window
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL Microsoft Entra authentication
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Azure SQL point-in-time restore
A database capability or setting in Azure SQL Database that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure SQL Database
fundamentals
5 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB point read
Cosmos DB point read means a direct item lookup that uses both item id and partition key value to retrieve one document efficiently 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 low-latency reads, predictable RU cost, cache-friendly access paths, and API designs that avoid unnecessary queries. 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
5 commands
Aliases: No aliases yet
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Databases
premium
Dedicated container throughput
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
intermediate
5 commands
Aliases: No aliases yet
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Networking
premium
Front Door
Azure Front Door is Microsoft’s global edge service for modern web applications. Microsoft Learn describes it as a cloud CDN that provides fast, reliable, and secure access to static and dynamic content through Microsoft’s global edge network worldwide.
Application delivery and API edge
intermediate
5 commands
Aliases: Azure Front Door, AFD, Azure Front Door Standard, Azure Front Door Premium, global edge
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Networking
premium
Front Door profile
Front Door profile is the top-level Azure Front Door Standard or Premium resource that groups edge endpoints, routes, origins, domains, rule sets, security associations, and delivery settings. Teams use it to manage a global application entry point without treating each endpoint, route, or origin as a separate product. In daily Azure work, it shows up when engineers review edge architecture, add a new website, tune routing, attach custom domains, configure WAF, or troubleshoot global traffic. It is not the same thing as a single endpoint, DNS name, backend app, CDN cache rule, or web application firewall policy.
Application delivery and API edge
intermediate
5 commands
Aliases: Azure Front Door profile, AFD profile, Front Door Standard/Premium profile
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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
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AI and Machine Learning
premium
Knowledge store
Knowledge store controls where enriched documents, extracted fields, normalized tables, and projected objects are stored after AI Search enrichment for reuse outside search queries. Teams see it in azure ai search skillsets, knowledgestore definitions. It is not a search index, knowledge source, storage data lake, semantic configuration, vector index, or training dataset; confusing them can create missing enriched outputs, storage exposure. 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.
Azure AI Search
Intermediate
5 commands
Aliases: Azure AI Search knowledge store, knowledge mining store, enriched content store, knowledge-store projections
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Databases
premium
Azure Cosmos DB
Azure Cosmos DB is a fully managed database service for NoSQL, relational, and vector workloads. It supports global distribution, elastic scale, multiple APIs, request-unit capacity, backup, and high availability so modern applications can store and query data without operating database servers.
Azure Cosmos DB
fundamentals
4 commands
Aliases: Azure Cosmos DB, Cosmos DB, Azure Cosmos DB for NoSQL, Cosmos database, global NoSQL database, request-unit database
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Management and Governance
premium
Bicep restore
Bicep restore downloads external modules referenced by a Bicep file into the local module cache before build or deployment.
Bicep
fundamentals
4 commands
Aliases: No aliases yet
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Networking
premium
Front Door endpoint
A Front Door endpoint is a logical grouping of one or more routes associated with domain names in an Azure Front Door profile.
Application delivery and API edge
intermediate
4 commands
Aliases: Azure Front Door endpoint, AFD endpoint, azurefd.net endpoint
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Networking
premium
Front Door route
Front Door route is the Azure Front Door configuration that decides which domain and path patterns send user requests to which origin group. Teams use it to connect edge endpoints and custom domains to backend applications while controlling accepted protocols, forwarding behavior, caching, and rule-set association. In daily Azure work, it shows up when engineers add APIs, split static and dynamic paths, migrate origins, route traffic between regions, or investigate why a request reached the wrong backend.
Application delivery and API edge
intermediate
4 commands
Aliases: AFD route, Azure Front Door route, edge route
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Networking
premium
Front Door rules engine
Front Door rules engine is the Azure Front Door capability that applies edge rules to matching requests before they are sent to an origin. Teams use it to move selected routing, redirect, rewrite, header, and cache behavior to the edge instead of baking every rule into application code. In daily Azure work, it shows up when engineers tune SEO redirects, add security headers, rewrite paths, vary caching, preserve legacy URLs, or explain unexpected behavior before the origin ever receives traffic.
Application delivery and API edge
advanced
4 commands
Aliases: Front Door rule set, AFD rule set, rules engine
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Storage
premium
Cloud endpoint
In Azure File Sync, a cloud endpoint is a pointer to an Azure file share; server endpoints synchronize with the cloud endpoint, making the file share the sync hub.
Files, queues, and tables
intermediate
3 commands
Aliases: No aliases yet
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AI and Machine Learning
verified
Prompt caching
Prompt caching means Azure OpenAI can reuse part of the work it already did for a long prompt when later requests start with the same text. It is not a response cache, and it does not change what the model says. It helps when system instructions, tool descriptions, policies, or examples stay stable across many calls. The benefit appears as lower latency and cheaper input-token handling when the request meets model and prefix-matching requirements.
Azure OpenAI
intermediate
8 commands
Aliases: No aliases yet
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Analytics
field-manual-complete
Synapse notebook
A Synapse notebook is a web authoring surface in Azure Synapse Analytics for live code, visualizations, and explanatory text. It is commonly used with Apache Spark for data preparation, exploration, machine learning, and repeatable transformations that can run interactively or from pipelines.
Synapse Analytics
fundamentals
8 commands
Aliases: Azure Synapse notebook, Synapse Spark notebook, Synapse Analytics notebook, notebook artifact in Synapse
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Analytics
field-manual-complete
Synapse pipeline
A Synapse pipeline is a data-driven workflow in Azure Synapse Analytics that groups activities for moving, transforming, and orchestrating data. It can run manually or from triggers, pass parameters between activities, and record pipeline and activity run history for monitoring.
Synapse Analytics
fundamentals
8 commands
Aliases: Azure Synapse pipeline, Synapse Analytics pipeline, pipeline in Synapse, Synapse data integration pipeline
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Analytics
field-manual-complete
Synapse private endpoint
A Synapse private endpoint is an Azure Private Link network interface that lets clients reach a Synapse workspace over a private IP address instead of the public internet. It is used with workspace development, SQL, and private-link patterns to reduce exposure and control network access.
Synapse Analytics
advanced
8 commands
Aliases: Azure Synapse private endpoint, Synapse workspace private endpoint, Private Link for Synapse, private endpoint for Synapse workspace
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