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Microsoft Azure AI Fundamentals AI-900/Acronyms/Part 4

Acronym study

AI-900 Acronyms — Part 4 of 5

Terms 91–120 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.

← Part 3Part 4 of 5Part 5 →

Term 91

Object detection

Object detection is a computer vision technology that identifies and locates specific objects within an image or video.

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Full Object detection glossary entry →

Term 92

OCR

Optical Character Recognition is technology that converts images of text, like scanned documents or photos, into machine-readable text data.

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Full OCR glossary entry →

Term 93

OpsCenter

OpsCenter is a centralized management platform used to monitor, deploy, and orchestrate IT infrastructure and applications across multiple environments.

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Full OpsCenter glossary entry →

Term 94

OSINT

OSINT (Open Source Intelligence) is the practice of collecting and analyzing publicly available information from free or commercially available sources to support intelligence gathering, cybersecurity assessments, and penetration testing.

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Full OSINT glossary entry →

Term 95

Overfitting

Overfitting occurs when a machine learning model learns the training data too well, including its noise and outliers, causing it to perform poorly on new, unseen data.

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Full Overfitting glossary entry →

Term 96

Parameter Store

Parameter Store is a secure, centralized service for storing and managing configuration data, secrets, and environment variables used by applications and IT infrastructure.

Full entry →
Full Parameter Store glossary entry →

Term 97

Passive reconnaissance

Passive reconnaissance is the process of gathering information about a target system or network without directly interacting with it, using publicly available sources and stealthy observation.

Full entry →
Full Passive reconnaissance glossary entry →

Term 98

Patch Manager

A Patch Manager is a tool or service that automates the process of finding, downloading, testing, and installing software updates across multiple computers to keep them secure and stable.

Full entry →
Full Patch Manager glossary entry →

Term 99

Placement group

A logical grouping of cloud instances placed close together or spread apart to optimize performance, fault tolerance, or network latency.

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Full Placement group glossary entry →

Term 100

Pod

A pod is the smallest deployable unit in Kubernetes, containing one or more containers that share storage, network, and a specification for how to run.

Full entry →
Full Pod glossary entry →

Term 101

Port scanning

Port scanning is the process of probing a computer or network device to discover which network ports are open, closed, or filtered, revealing potential entry points for services and applications.

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Full Port scanning glossary entry →

Term 102

Prediction

Prediction is the process of using data and algorithms to forecast future outcomes or identify patterns without explicit programming for each scenario.

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Full Prediction glossary entry →

Term 103

Privacy and security

Privacy and security refer to the practices and technologies used to protect sensitive data from unauthorized access while ensuring individuals' rights over their personal information are respected.

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Full Privacy and security glossary entry →

Term 104

Profiler

A profiler is a tool that monitors and analyzes the performance, resource usage, and behavior of software applications or systems to identify bottlenecks and optimize efficiency.

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Full Profiler glossary entry →

Term 105

Prompt engineering

Prompt engineering is the practice of designing and refining input queries to AI models to get the most accurate, relevant, and useful outputs.

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Full Prompt engineering glossary entry →

Term 106

Provisioned concurrency

Provisioned concurrency is a feature in serverless computing that keeps a specified number of function instances initialized and ready to respond immediately, eliminating cold start delays.

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Full Provisioned concurrency glossary entry →

Term 107

Question answering

Question answering is an Azure AI service that lets you build a natural language query system that extracts answers from a custom knowledge base of documents or FAQs.

Full entry →
Full Question answering glossary entry →

Term 108

RAG

Retrieval-Augmented Generation (RAG) is a technique that combines information retrieval with text generation to produce more accurate and contextually relevant answers from large language models.

Full entry →
Full RAG glossary entry →

Term 109

Read replica

A read replica is a copy of a database that is used only to handle read queries, taking load off the primary database.

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Full Read replica glossary entry →

Term 110

Regression

Regression is a type of machine learning algorithm that predicts a continuous numeric output based on input data, used to model relationships between variables.

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Full Regression glossary entry →

Term 111

Reinforcement learning

Reinforcement learning is a machine learning approach where an agent learns to make decisions by taking actions in an environment to maximize cumulative reward.

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Full Reinforcement learning glossary entry →

Term 112

Reliability and safety

Reliability and safety in IT means that systems consistently perform their intended functions without failure and that they operate without causing harm to people, data, or the environment.

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Full Reliability and safety glossary entry →

Term 113

Reserved Instance

A Reserved Instance is a billing discount applied to your usage of virtual machines or other compute resources when you commit to using a specific configuration for a one- or three-year term.

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Full Reserved Instance glossary entry →

Term 114

Responsible AI

A framework of ethical principles and practices that ensure artificial intelligence systems are developed and deployed in a transparent, fair, accountable, and safe manner.

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Full Responsible AI glossary entry →

Term 115

Retrieval augmented generation

Retrieval augmented generation (RAG) is a technique that combines information retrieval with text generation to produce more accurate and contextually relevant answers.

Full entry →
Full Retrieval augmented generation glossary entry →

Term 116

Route 53 health check

A Route 53 health check is a feature of Amazon Route 53 DNS service that monitors the availability and performance of an endpoint, such as a web server, from multiple global locations to automatically route traffic away from failures.

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Full Route 53 health check glossary entry →

Term 117

Run command

The Run command is a built-in feature in Windows operating systems that allows you to quickly open programs, files, folders, and system tools by typing a specific command or path directly into a small dialog box.

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Full Run command glossary entry →

Term 118

Savings Plan

A flexible pricing model from cloud providers that gives you discounted rates on compute usage in exchange for a commitment to a consistent amount of spending over a one- or three-year term.

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Full Savings Plan glossary entry →

Term 119

Scheduled scaling

Scheduled scaling is a cloud computing strategy that automatically adjusts computing resources based on a predefined time schedule to match predictable workload patterns.

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Full Scheduled scaling glossary entry →

Term 120

Search index

A search index is a data structure that stores a mapping of content to locations, enabling fast and efficient information retrieval in search systems.

Full entry →
Full Search index glossary entry →
← Part 3Part 5 →

Acronym parts

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Study resources

All AI-900 Acronyms→AI-900 Practice Tests→AI-900 Study Guide→Exam Domains→