Term 121
Secret Manager
A Secret Manager is a centralized tool that securely stores, manages, and controls access to sensitive information like passwords, API keys, and certificates, often automating their rotation and injection into applications.
Acronym study
Terms 121–150 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 121
A Secret Manager is a centralized tool that securely stores, manages, and controls access to sensitive information like passwords, API keys, and certificates, often automating their rotation and injection into applications.
Term 122
AWS Secrets Manager is a fully managed service that helps you protect access to your applications, services, and IT resources by securely storing, rotating, and controlling access to secrets like database passwords, API keys, and credentials.
Term 123
Semantic search is a search method that understands the intent and contextual meaning of a user's query, rather than just matching exact keywords.
Term 124
Sentiment analysis is a natural language processing technique that uses machine learning to determine the emotional tone or opinion expressed in a piece of text.
Term 125
A service is a software component or system that performs a specific function and is available to be used by other programs or users over a network.
Term 126
Service discovery is the process by which networked services automatically locate each other to communicate, without needing manual configuration of network addresses.
Term 127
A Session Manager is a tool or service that starts, oversees, and ends user sessions on a computer or network, ensuring that each user's activities are kept separate and secure.
Term 128
Shodan is a search engine that lets you find specific types of internet-connected devices, such as webcams, routers, and servers, by scanning the internet and indexing their services and banners.
Term 129
A skillset is the collection of technical abilities, knowledge, and competencies required to perform a specific IT role or pass a certification exam.
Term 130
Speech translation is the real-time conversion of spoken language from one language into written or spoken text in another language using artificial intelligence.
Term 131
A Spot Instance is an unused cloud computing resource that a provider offers at a deep discount but that can be reclaimed by the provider with little notice.
Term 132
State Manager is an AWS Systems Manager capability that lets you define and enforce a desired configuration state for your EC2 instances and other managed resources, automatically ensuring they stay compliant over time.
Term 133
AWS Step Functions is a serverless orchestration service that lets you coordinate multiple AWS services into a visual, state-machine-based workflow.
Term 134
A step scaling policy is a type of auto scaling rule that adjusts the number of computing resources in predefined increments based on the magnitude of a CloudWatch alarm breach.
Term 135
Supervised learning is a type of machine learning where a model learns from labeled training data to make predictions or decisions.
Term 136
A target group is a logical grouping of one or more backend resources, such as servers or containers, that handles incoming requests and is associated with a load balancer rule to distribute traffic.
Term 137
A target tracking policy is an AWS Auto Scaling feature that automatically adjusts the number of EC2 instances to maintain a specified target value for a given metric, such as average CPU utilization.
Term 138
Test data is a set of information used to verify that a software application or system works correctly under various conditions.
Term 139
Text analytics is the process of turning unstructured text, like emails or social media posts, into structured data that can be analyzed to find patterns, sentiments, and insights.
Term 140
theHarvester is an open-source intelligence (OSINT) tool used to gather emails, subdomains, IP addresses, and other public data about a target from search engines and public sources.
Term 141
A token is a digital or physical object that represents a set of permissions or access rights, used to verify identity or grant access in computer systems.
Term 142
A trace is a record of the path and timing of a request or operation as it moves through components in a system, used to monitor performance and troubleshoot issues.
Term 143
Training data is a set of examples used to teach a machine learning model how to make predictions or decisions.
Term 144
Transparency in AI means that the inner workings, decision-making processes, and data used by an AI system are open, understandable, and auditable by humans.
Term 145
Underfitting occurs when a machine learning model is too simple to capture the underlying patterns in the training data, resulting in poor performance on both training and new data.
Term 146
Unsupervised learning is a type of machine learning where an algorithm finds patterns, groupings, or structure in data without being given labeled examples or correct answers.
Term 147
An uptime check is a monitoring test that verifies whether a system or service is running and accessible over a network.
Term 148
Validation data is a subset of data used during the training of a machine learning model to tune its hyperparameters and evaluate its performance on unseen data before final testing.
Term 149
Vector search is a method of finding similar items by comparing mathematical representations of data instead of exact matches.
Term 150
WHOIS lookup is a query and response protocol used to search databases that store the registration information of domain names and IP address blocks.