> For the complete documentation index, see [llms.txt](https://data-backup.gitbook.io/data-protection/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a.md).

# A

- [Archive](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a/archive.md): Learn about Archives, a storage solution for long-term retention of infrequently accessed data.
- [Active backup for Office 365](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a/active-backup-for-office-365.md): Explore the benefits of Active Backup for Office 365, a comprehensive data protection solution specifically designed for Microsoft Office 365 environments.
- [AWS Backup](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a/aws-backup.md): Discover the capabilities of AWS Backup, a reliable and scalable backup service provided by Amazon Web Services (AWS).
- [Active Directory](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a/active-directory.md): Explore the power of Active Directory, a centralized database that manages and organizes network resources in a Windows domain environment.
- [Agent](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a/agent.md): Learn about Agents in the context of data backup and management, software components that facilitate communication and data transfer between systems.
- [Anti-ransomware solutions](https://data-backup.gitbook.io/data-protection/glossary-of-terms/a/anti-ransomware-solutions.md): Discover the importance of anti-ransomware solutions in safeguarding organizations against malicious ransomware attacks.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://data-backup.gitbook.io/data-protection/glossary-of-terms/a.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.