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This one took me a second to even parse the premise.
Start by explaining why standard parsers treat CDATA as opaque text, then outline a two-pass approach: first parse the outer XML to locate CDATA sections, then parse the inner content as XML and replace the CDATA node with the parsed fragment. Finally, discuss edge cases like nested CDATA, malformed inner XML, and namespace conflicts, and describe a test suite covering these scenarios.
Pro tip: Mention that you'd use a streaming parser (e.g., SAX) for large documents to avoid loading everything into memory, and that you'd preserve the original CDATA boundaries for round-tripping if needed.
Describe how standard XML parsers treat CDATA as character data, not markup, so they don't parse the inner XML, leading to a tree where the CDATA content is a text node. This causes the unified tree to be incorrect.
Use a DOM or SAX parser to find CDATA sections. For each, extract the text content and attempt to parse it as a standalone XML fragment, handling any parsing errors.
Replace the CDATA node with the parsed fragment's nodes, ensuring proper merging of namespaces and attributes. If using DOM, import nodes into the main document.
Handle nested CDATA (CDATA within CDATA), malformed inner XML, multiple CDATA sections, namespace prefix conflicts, and encoding issues. Decide whether to fail, skip, or attempt repair.
Write unit tests with various inputs: valid inner XML, invalid inner XML, nested CDATA, large documents, and namespace collisions. Verify the output parses as a single tree and matches expected structure.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.