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Databricks Certified Data Engineer Associate · Databricks
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- Correct answer : A — A schema hint such as `"user_info.dob DATE"` passed as a reader option to the stream A . Schema hints let you override the inferred type of a specific column path, including nested fields addressed with dot notation, while Auto Loader continues to infer the remaining schema automatically. B . Post-read casting on the full DataFrame changes the value's type only after inference has already happened for every field, so it does not target a single nested field during schema inference itself. C . A Lakeflow Spark Declarative Pipelines expectation validates or drops rows based on a condition at write time; it enforces a rule about the data rather than overriding the inferred column type during Auto Loader's schema inference step. D . `COPY INTO` is a separate batch-loading SQL command with its own `FORCE` option for reloading files, and it does not apply to an Auto Loader streaming read or provide per-field type overrides.