Term 1
Accountability
Accountability is the security principle that ensures actions and identity are linked so that a person or system can be held responsible for their activities.
Acronym study
Terms 1–30 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 1
Accountability is the security principle that ensures actions and identity are linked so that a person or system can be held responsible for their activities.
Term 2
Active reconnaissance is the process of directly interacting with a target system or network to gather information, often through scanning and probing.
Term 3
An Application Load Balancer is a managed network service that distributes incoming web traffic across multiple target servers based on the content of the request, such as the URL path or HTTP headers.
Term 4
An alerting policy is a set of rules that defines when to send notifications about a system condition that needs attention.
Term 5
AWS App Runner is a fully managed container service that lets you deploy web applications and APIs directly from source code or a container image without managing the underlying infrastructure.
Term 6
Artifact Registry is a managed service for storing, managing, and securing container images and other software packages in a centralized repository.
Term 7
Artificial intelligence is the simulation of human intelligence processes by computer systems, enabling machines to learn, reason, and make decisions.
Term 8
An Auto Scaling group is a logical collection of EC2 instances that automatically adjusts the number of instances based on demand, ensuring availability and cost efficiency.
Term 9
Automated Machine Learning (AutoML) is a set of tools and techniques that automate the process of building, training, and tuning machine learning models without requiring deep expertise in data science.
Term 10
AWS Backup is a fully managed service that centralizes and automates data backups across multiple AWS services, enabling you to define backup policies, monitor activity, and restore data from a single dashboard.
Term 11
AWS CloudFormation is a service that lets you define and provision AWS infrastructure using code, so you can launch and manage resources consistently and predictably.
Term 12
AWS OpsWorks is a configuration management service that uses Chef and Puppet to automate how servers are configured, deployed, and managed across Amazon EC2 instances and on-premises environments.
Term 13
AWS Systems Manager is a management service that helps you view and control your AWS infrastructure, automate operational tasks, and maintain security and compliance across your cloud and on-premises resources.
Term 14
Azure AI Language is a cloud-based service from Microsoft that uses natural language processing to understand, analyze, and generate human language for applications.
Term 15
Azure AI Search is a cloud search service that uses artificial intelligence to index and search through large amounts of data, returning relevant results that feel as smart as a Google search.
Term 16
Azure AI Services is a collection of pre-built, cloud-based artificial intelligence APIs and services that allow developers and IT professionals to integrate capabilities like vision, speech, language, and decision-making into applications without needing deep machine learning expertise.
Term 17
Azure AI Speech is a cloud service from Microsoft that converts spoken audio into text, text into lifelike speech, and enables real-time voice translation and speaker recognition.
Term 18
Azure AI Translator is a cloud-based service that uses neural machine translation to convert text between languages while preserving meaning and context.
Term 19
Azure AI Vision is a cloud-based service from Microsoft that uses pre-built machine learning models to extract information from images and videos, such as objects, text, faces, and scene descriptions.
Term 20
Azure Machine Learning is a cloud service for building, training, and deploying machine learning models at scale.
Term 21
Azure OpenAI Service is a cloud platform from Microsoft that lets developers use powerful artificial intelligence models, like GPT-4, to build applications that can understand and generate human-like text, code, images, and more.
Term 22
Banner grabbing is the process of connecting to a remote service to capture the banner it sends, which often reveals software type and version for reconnaissance.
Term 23
Batch is a cloud computing service that runs large numbers of computing jobs as a group, or batch, without needing to manage individual servers.
Term 24
Bias in AI is a systematic error in data or algorithms that leads to unfair or inaccurate outcomes, often reflecting real-world prejudices.
Term 25
Binary Authorization is a security control that ensures only trusted container images are deployed in a Kubernetes or cloud environment.
Term 26
Classification is a supervised machine learning technique used to predict a category or class label for new data based on patterns learned from labeled training data.
Term 27
Cloud AI APIs are pre-built, cloud-hosted interfaces that allow developers to integrate artificial intelligence capabilities into applications without building or training models from scratch.
Term 28
Cloud Audit Logs are a record of actions taken by users, services, and resources inside a cloud environment, capturing who did what, when, and from where.
Term 29
Cloud Build is a managed service that compiles source code into deployable artifacts, often used in continuous integration and continuous delivery pipelines.
Term 30
Cloud KMS (Key Management Service) is a cloud-based service that lets you create, manage, and use encryption keys to protect your data at rest and in transit.