Start by clarifying the JSON structure and coordinate format, then outline a solution using a standard JSON library to parse the file and extract coordinates from the first 10 records. Emphasize error handling and code clarity, and discuss potential edge cases like missing fields or malformed JSON.
Pro tip: Demonstrate production-level thinking by mentioning that you would validate the JSON schema and handle exceptions gracefully, and note that for large files, streaming parsers might be more memory-efficient than loading the entire file.
Ask about the JSON structure, coordinate format (e.g., array, object with lat/lng), and whether the file is local or remote. Confirm that only the first 10 records are needed.
Select a language (e.g., Python) and its standard JSON library (e.g., json). Mention that standard libraries are preferred for simplicity and reliability.
Open the file, read its contents, and parse it using the JSON library. Handle potential exceptions like FileNotFoundError or JSONDecodeError.
Iterate over the first 10 records, extract the coordinate field, and print it. Ensure the output is clear and formatted as expected.
Mention handling missing coordinates, empty files, or large files. Suggest streaming or lazy parsing if the file is huge.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.