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When diving into XML processing, it’s crucial to mention the performance implications when dealing with large XML files. Both xmlstarlet and xmllint can struggle with memory consumption and processing speed on substantial datasets. In such cases, using streaming parsers like SAX or considering a more specialized language like Python with libraries like PLACEHOLDERf6b7a09323 or PLACEHOLDER9de514c682 can significantly enhance efficiency. Also, highlighting error handling and best practices for ensuring well-formed XML would provide additional depth for users.