Term 61
Generative AI
Generative AI is a type of artificial intelligence that creates new content—like text, images, or code—by learning patterns from existing data.
Acronym study
Terms 61–90 of 150 AI-900 acronyms and key terms. Each entry includes a plain-English definition and a link to the full 800-word glossary page with exam context and practice questions.
Term 61
Generative AI is a type of artificial intelligence that creates new content—like text, images, or code—by learning patterns from existing data.
Term 62
Google dorking is the practice of using advanced search operators in Google to uncover sensitive information that companies or individuals unintentionally expose on the internet.
Term 63
AWS Gateway Load Balancer is a cloud service that distributes traffic to third-party virtual appliances like firewalls and intrusion detection systems at scale.
Term 64
A health check is an automated test that monitors whether a system, application, container, or network service is running correctly and can respond to requests.
Term 65
Image classification is the process of teaching a computer to look at a picture and decide what category or label best describes the main object or scene in that picture.
Term 66
Inclusiveness in IT means designing systems, software, and workflows so that they are accessible and usable by people with a wide range of abilities, backgrounds, and needs.
Term 67
An indexer is a software component that processes content and builds a searchable index so that users can quickly find documents, data, or files based on keywords or phrases.
Term 68
Ingress is a Kubernetes API object that manages external access to services within a cluster, typically via HTTP or HTTPS routing rules.
Term 69
Inventory is the complete list of hardware, software, and network assets that an organization owns or manages, tracked for maintenance, security, and budgeting purposes.
Term 70
Key phrase extraction is an Azure AI service feature that automatically identifies and extracts the most important words and phrases from a piece of text.
Term 71
A Knowledge store is a structured, queryable repository that securely stores the output of AI-powered knowledge mining pipelines, enabling users to search, analyze, and retrieve insights from unstructured data sources such as documents, images, and web pages.
Term 72
A set of machines, called nodes, that work together to run and manage containerized applications using Kubernetes orchestration software.
Term 73
A label is a piece of metadata attached to data, objects, or resources to identify, classify, or describe them for easier management and retrieval.
Term 74
Language detection is an Azure AI service that automatically identifies the language of a piece of text without manual input.
Term 75
A launch configuration is a template that specifies the settings for creating a group of identical virtual servers, such as instance type, AMI, security groups, and storage, used in auto-scaling setups.
Term 76
A launch template is a configuration blueprint that defines the settings for creating cloud computing instances, such as virtual machines, including the machine image, instance type, and network settings.
Term 77
Machine learning is a branch of artificial intelligence where computers learn patterns from data to make decisions or predictions without being explicitly programmed for every task.
Term 78
A scheduled period during which IT systems can be taken offline for updates, patches, or repairs with minimal business disruption.
Term 79
Maltego is a graphical open-source intelligence tool used for information gathering and reconnaissance, enabling users to map and visualize relationships between entities like people, domains, and networks.
Term 80
In IT and AI, a model is a trained mathematical representation that learns patterns from data to make predictions or decisions.
Term 81
Multi-AZ refers to a deployment model where resources are replicated across multiple Availability Zones within a cloud region to ensure high availability and fault tolerance.
Term 82
Named entity recognition (NER) is an Azure AI service feature that automatically identifies and classifies key pieces of information in text, such as names of people, organizations, locations, dates, and other specific data.
Term 83
Natural Language AI is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language in a way that is both meaningful and useful.
Term 84
Natural language processing (NLP) is a branch of artificial intelligence that helps computers understand, interpret, and respond to human language in a way that is both meaningful and useful.
Term 85
A Network Load Balancer is a cloud service that automatically distributes incoming network traffic across multiple servers to ensure applications remain fast, available, and secure.
Term 86
A neural network is a computing system modeled loosely on the human brain that learns to recognize patterns from data without being explicitly programmed for every rule.
Term 87
NLB (Network Load Balancer) is a networking device or software that distributes incoming network traffic across multiple servers to ensure high availability, scalability, and reliability.
Term 88
NLP (Natural Language Processing) is a branch of artificial intelligence that enables computers to understand, interpret, and generate human language in a way that is meaningful and useful.
Term 89
Nmap is a network scanning tool used to discover hosts, services, and operating systems on a computer network.
Term 90
A node pool is a group of virtual machines (nodes) within a container orchestration cluster that share the same configuration, such as machine size, operating system, and scaling settings, allowing you to manage them as a single unit.