Answer: The `.read` line should be replaced with `.readStream`.

## Explanation In Apache Spark Structured Streaming, to perform a streaming read (as opposed to a batch read), you need to use `.readStream` instead of `.read`. **Key Points:** - `.read` is used for batch processing - `.readStream` is used for streaming processing - The `.format("cloudFiles")` is correct for reading from cloud storage with Auto Loader - The `.option("cloudFiles.format", "json")` is correct for specifying JSON format - The `.schema(schema)` and `.load(dataSource)` are properly configured **Why other options are incorrect:** - **Option B**: There is no `.stream` method in Spark's DataFrameReader API - **Option C**: `.format("stream")` is not a valid format - `"cloudFiles"` is the correct format for Auto Loader - **Option D**: There is no `.stream` method that can be added after `spark` - **Option E**: Adding `.stream` after `.load(dataSource)` would be syntactically incorrect The corrected code should be: ```python (spark .readStream .schema(schema) .format("cloudFiles") .option("cloudFiles.format", "json") .load(dataSource) ) ```

Author: LeetQuiz .