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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 Quick peek Open full term page

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 Quick peek Open full term page

Compute field-manual-complete VM host caching VM host caching controls whether an attached VM disk uses Azure host-side cache for read-only, read/write, or no caching behavior. Disks and images intermediate 5 commands Aliases: Azure disk host caching, disk caching, VM disk caching, ReadOnly caching, ReadWrite caching Quick peek Open full term page

Analytics template-specs-upgraded Result set caching Microsoft Learn describes result set caching in Azure Synapse dedicated SQL pool as a database and session feature that stores eligible query results for repeated use. Matching queries can read persisted cached results instead of recomputing, reducing compute work, resource usage, and concurrency-slot pressure. Synapse dedicated SQL pool intermediate 5 commands Aliases: result set caching, Synapse result set caching, dedicated SQL pool result cache, cached query results Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry project An Azure AI Foundry project is the working area where a team builds and organizes an AI application inside Microsoft Foundry. It keeps related agents, evaluations, files, indexes, tools, connections, and model usage together instead of scattering them across a shared portal. Think of it as the project boundary for one AI product, prototype, or team. It is useful because AI work quickly becomes messy: prompts, test data, model deployments, safety checks, and access decisions all need a home with ownership and repeatable operations. AI platform advanced 4 commands Aliases: AI Foundry project, AI project, Foundry project, Microsoft Foundry project Quick peek Open full term page

AI and Machine Learning premium Azure AI metrics Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes. Azure AI services intermediate 4 commands Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection Quick peek Open full term page

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 Quick peek Open full term page

Storage premium Azure File Sync Azure File Sync syncs Azure file shares with Windows Server file servers so users keep familiar local access while data is centralized in Azure Files. It helps infrastructure teams modernize branch and data center file services without forcing every user and application to change paths on day one. You see it when Windows file server migrations, branch caching, cloud tiering, disaster recovery staging, or phased moves to Azure Files. It still needs ownership, network design, monitoring, and recovery planning. Operators need repeatable evidence for deployment, protection, troubleshooting, and reviews, not screenshots or tribal knowledge. Hybrid file services intermediate 4 commands Aliases: File Sync, Storage Sync Service Quick peek Open full term page

Networking premium DNS zone A DNS zone is an Azure DNS container for record sets that answer names under a domain. Public zones publish internet-resolvable records after registrar delegation, while private zones resolve only for linked virtual networks and support private endpoint and internal naming patterns. DNS fundamentals 4 commands Aliases: Azure DNS zone, DNS zone, public DNS zone, private DNS zone, hosted zone Quick peek Open full term page

Networking premium Firewall rule A firewall rule is a gatekeeping setting that decides which network sources can reach a protected Azure service. For Azure SQL, it often means allowing one public IP range to connect to a logical server or a specific database. For storage, MySQL, Cosmos DB, and other services, similar network rules limit where requests can come from. A firewall rule is not user authorization; it only answers whether the network path is allowed. Users or applications still need valid identity, credentials, and permissions after traffic gets through. Network security intermediate 4 commands Aliases: Azure firewall rule, IP firewall rule, server firewall rule, network access rule Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Compute premium LUN A LUN, or logical unit number, identifies a data disk attachment on an Azure virtual machine. Azure records the LUN with each attached data disk so the VM, operating system, automation, and operators can distinguish disks and keep mount or application mappings consistent. Disks and images intermediate 4 commands Aliases: disk LUN, logical unit number Quick peek Open full term page

Storage premium NFS 3.0 for Blob Storage NFS 3.0 for Blob Storage means an Azure Blob Storage protocol option that lets Linux clients mount blob containers through NFS version 3. You see it when teams connect analytics jobs, HPC workloads, migration tools, or Linux applications that expect mounted file paths. Think of it as a storage protocol choice with account, namespace, and network requirements. 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. Blob Storage advanced 4 commands Aliases: No aliases yet Quick peek Open full term page

Storage premium NFS file share Migrate Linux applications that expect NFS paths without standing up and patching a self-managed file server.; Provide AKS pods, batch jobs, or HPC workers with a shared managed file system reachable through private netw Azure Files intermediate 4 commands Aliases: Azure Files NFS share, NFS Azure file share, NFSv4.1 file share, NFS file share, nfs file share Quick peek Open full term page

Management and Governance premium Cloud resource hygiene Cloud resource hygiene is an operational governance practice for keeping Azure resources organized, tagged, owned, secured, monitored, costed, and retired when no longer needed. Operational hygiene intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Context window The amount of input and output text a model can process in one request. Generative AI advanced 3 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Analytics field-manual-complete Kusto table policy A Kusto table policy is a management setting on a table that controls behavior such as retention, caching, update processing, ingestion batching, restricted view access, row-level security, or other operational rules supported by Azure Data Explorer and Fabric for governed analytics workloads. Data engineering and analytics intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning verified Requests per minute Requests per minute, or RPM, in Azure OpenAI is a quota and rate-limit measure for how many API requests a subscription, region, model, or deployment type can accept in a minute. It works alongside tokens per minute to protect capacity from request-count bursts. It also informs capacity planning. Azure OpenAI fundamentals 6 commands Aliases: RPM, Azure OpenAI RPM, OpenAI request rate limit, requests-per-minute quota, model deployment request limit Quick peek Open full term page

Analytics field-manual-complete Synapse data explorer pool A analytics platform concept in Synapse Analytics that helps teams move, transform, query, and govern data at scale with clearer ownership, safety, and operational context. Synapse Analytics fundamentals 6 commands Aliases: Azure Synapse data explorer pool, Data Explorer pool, Kusto pool in Synapse, Synapse Kusto pool, Synapse data explorer pool, legacy Synapse Data Explorer, synapse data explorer pool, synapse-data-explorer-pool Quick peek Open full term page

Containers field-manual-complete Container Apps secret Microsoft Learn describes Container Apps secrets as application-scoped values that can be stored directly or referenced from Azure Key Vault. Revisions can use them through environment variables, registry credentials, or scale rules, while managed identity controls access to Key Vault references. during application configuration and rotation. Azure Container Apps intermediate 5 commands Aliases: Container Apps secret, app-service-app-setting, client-secret, container apps secret, container-apps, container-apps-environment-variable, container-apps-revision, container-apps-secret, container-registry, keda, key-vault, key-vault-access-policy, managed-identity, secret Quick peek Open full term page

Databases field-manual-complete PostgreSQL memory optimized compute PostgreSQL Memory Optimized compute is the tier you choose when the database needs more memory per CPU than a normal balanced server provides. It is often used for busy transactional systems, analytical queries, large working sets, connection-heavy applications, and workloads where caching more data in memory reduces disk pressure. It is not a magic performance switch. Teams still need good indexing, query design, storage sizing, and monitoring. The tier costs more than smaller options, so it should be chosen because evidence shows memory is the limiting factor. PostgreSQL flexible server fundamentals 5 commands Aliases: Memory Optimized PostgreSQL, PostgreSQL memory optimized tier, E-series PostgreSQL compute Quick peek Open full term page

Compute field-manual-complete Premium SSD disk A Premium SSD disk is a faster Azure managed disk for virtual machines that need steadier storage performance than standard disks. Disks and images intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Web field-manual-complete Private bytes Private bytes tells you how much memory an app process has allocated for itself and cannot share with other processes. In App Service, it is a useful signal when a web app, Function, WebJob, or container slowly grows until it restarts, slows down, or exhausts the worker. It is not the same as every memory metric, and it does not explain the root cause by itself. Treat it as a warning light: the app may be leaking memory, caching too aggressively, processing oversized payloads, or running on an undersized plan. Runtime metric intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning verified RAG pipeline A RAG pipeline is the end-to-end flow that ingests content, chunks and enriches it, indexes it for retrieval, sends retrieved context to a model, and evaluates responses. In Azure, it often connects Azure AI Search, Azure OpenAI, storage, identity, monitoring, and evaluation tooling. Azure OpenAI advanced 5 commands Aliases: retrieval augmented generation pipeline, RAG workflow Quick peek Open full term page

Management and Governance verified Resource delete protection Resource delete protection uses Azure management locks, usually CanNotDelete, to stop critical resources or resource groups from being deleted by ordinary control-plane operations. Management locks fundamentals 5 commands Aliases: Azure delete protection, management lock delete protection, CanNotDelete lock, delete lock, protected Azure resource Quick peek Open full term page

Management and Governance verified Resource lifecycle Resource lifecycle is the story of what happens to an Azure resource from the moment someone asks for it until it is retired. It includes naming, approval, deployment, ownership, tagging, access, monitoring, patching, scaling, cost review, backup, policy compliance, change control, and cleanup. The point is not paperwork. The point is knowing who owns the resource, why it exists, what depends on it, how it changes safely, and when it should be removed. Without that trail, every later change becomes slower and riskier. Operational hygiene fundamentals 5 commands Aliases: Cloud resource lifecycle, Resource retirement lifecycle Quick peek Open full term page

AI and Machine Learning field-manual-complete Tokenizer A tokenizer converts text into the tokens consumed and produced by generative AI models. In Azure OpenAI and Foundry model workloads, tokenization determines how prompts, retrieved context, tool results, and completions fit within model context limits, rate limits, and billing meters. Azure OpenAI and Foundry Models intermediate 5 commands Aliases: AI tokenizer, model tokenizer, tokenization, token counter, text tokenizer Quick peek Open full term page

Networking field-manual-complete Traffic Manager Azure Traffic Manager is a DNS-based traffic-routing service that directs clients to healthy application endpoints according to a configured routing method. It monitors endpoints and returns DNS answers, but it is not a proxy, so client traffic flows directly to the selected endpoint. Global routing intermediate 5 commands Aliases: Azure Traffic Manager, DNS traffic routing, traffic manager profile, global DNS routing, DNS failover Quick peek Open full term page

Compute verified Write accelerator Write Accelerator is an Azure VM disk capability for supported M-series virtual machines using Premium SSD managed disks. It improves write I/O latency, especially for database transaction log or redo log volumes that must persist updates quickly during demanding enterprise database operations. Virtual Machines intermediate 5 commands Aliases: Azure Write Accelerator, VM disk Write Accelerator, writeAcceleratorEnabled, Accelerated log disk writes Quick peek Open full term page

Analytics field-manual-complete Kusto query performance Kusto query performance describes how efficiently Azure Data Explorer, Fabric, Azure Monitor, or Sentinel executes KQL, including how much data a query scans, which operators it uses, how resources are consumed, and whether service limits or workload controls affect results. Azure Data Explorer intermediate 4 commands Aliases: No aliases yet Quick peek Open full term page

Networking field-manual-complete NSG flow logs NSG flow logs are records of traffic decisions made by Azure network security groups. They show whether flows were allowed or denied, which rule was involved, and where the traffic was headed. In 2026 they are a legacy operational signal: existing logs still matter for investigations, but new NSG flow logs can no longer be created. A learner should understand them as historical evidence and a migration concern, not as the preferred design for new network logging. Diagnostics fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Integration complete API Management policy An API Management policy is a rule the gateway runs while handling an API call. Policies can validate tokens, add or remove headers, rewrite URLs, limit rates, cache responses, transform payloads, choose a backend, or return a custom response. They are written as ordered XML statements and can. Application delivery and API edge intermediate 4 commands Aliases: APIM policy, API policy in API Management Quick peek Open full term page

Media premium field-manual Media asset A media asset is a media file container formerly used by Azure Media Services to manage encoded video, audio, and related files. Teams use it when teams maintain or migrate media workloads after Azure Media Services retirement. In plain English, it gives operators a named control for clear inventory of media content, storage dependencies, and migration evidence instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear. Azure Media Services legacy assets intermediate 4 commands Aliases: Media asset, Azure Media Services asset, AMS asset, mediaServices asset, video asset, audio asset, media file asset, content asset, Microsoft.Media asset, Azure Media Services and Azure Storage, Azure Media Services legacy assets Quick peek Open full term page

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 Quick peek Open full term page

Management and Governance complete Snapshot TTL Microsoft Learn performance guidance treats time to live as a caching control that decides how long stored data remains useful before refresh. In Azure dashboards, a snapshot TTL defines how long a cached view of resources, metrics, costs, or health should be trusted. Dashboard operations advanced 4 commands Aliases: cache snapshot TTL, dashboard snapshot TTL, cached snapshot freshness, snapshot time to live Quick peek Open full term page

Compute premium field-manual Managed disk A managed disk is an Azure-managed block storage resource used as an operating system disk or data disk for a virtual machine. Teams use it when VM storage needs durable disks without manually managing storage accounts or page blobs. In plain English, it gives operators a named control for clear disk ownership, backup evidence, encryption control, and repeatable VM recovery instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear. Azure Disk Storage intermediate 3 commands Aliases: Managed disk, Azure Virtual Machines, Azure Disk Storage Quick peek Open full term page

Compute premium field-manual Managed disk SKU A managed disk SKU is the selected disk type and performance tier for a managed disk, such as Standard HDD, Standard SSD, Premium SSD, Premium SSD v2, or Ultra Disk. Teams use it when a VM workload needs the right balance of latency, IOPS, throughput, durability options, and cost. In plain English, it gives operators a named control for right-sized storage performance without paying for unnecessary disk capability instead of leaving the decision hidden in a portal setting, script, or deployment file. Treat it as production-ready only when the owner, dependencies, permission boundary, monitoring signal, and rollback evidence are clear. Azure Disk Storage intermediate 3 commands Aliases: Managed disk SKU, Azure Disk Storage Quick peek Open full term page

Monitoring and Observability field-manual-complete Largest Contentful Paint Largest Contentful Paint is a web performance metric that measures how quickly the largest visible content element in the viewport finishes rendering. Microsoft guidance treats it as a loading-experience signal, commonly associated with Core Web Vitals and a target of about 2.5 seconds for good user experience. Web Vitals advanced 2 commands Aliases: No aliases yet Quick peek Open full term page