> For the complete documentation index, see [llms.txt](https://clients.medianova.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://clients.medianova.com/products/performance-cdn/dynamic-content-acceleration/advanced-configuration/caching/query-string-caching.md). # Query String Caching Learn how Query String Caching defines cache key behavior for dynamic URLs containing query parameters. The **Query String Caching** feature for Dynamic Content Acceleration operates the same way as in Static Content Delivery.\ It determines how the CDN evaluates query parameters when generating cache keys, allowing you to cache each query string variant separately, ignore specific parameters, or build cache keys using only selected values. These configurations provide granular control over caching behavior for dynamic endpoints, APIs, and personalized content. For configuration details, caching modes, and examples, refer to the main documentation:\ **Learn more in the** [**Query String Caching documentation**](/products/performance-cdn/static-content-delivery/advanced-configuration/caching/query-string-caching.md)**.** --- # 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 by asking a question. Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters: ``` GET https://clients.medianova.com/products/performance-cdn/dynamic-content-acceleration/advanced-configuration/caching/query-string-caching.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case. 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.