Answer: spark.conf.get()

## Explanation In Databricks Delta Live Tables (DLT) pipelines, the correct way to get configuration variables is using `spark.conf.get()`. Here's why: - **`spark.conf.get()`** - This is the standard Apache Spark method for accessing configuration parameters. In DLT pipelines, configuration variables are stored in Spark configuration and can be accessed using this method. - **`spark.get()`** - This is not a valid method in Spark for accessing configuration variables. - **`@dlt.get()`** - This is not a valid decorator or method in DLT pipelines. - **`@dlt.spark.conf.get()`** - This syntax is incorrect as `@dlt` decorators are used for defining tables and views, not for accessing configuration. In DLT pipelines, you typically use configuration variables like this: ```python my_config_value = spark.conf.get("my.config.key") ``` This allows you to parameterize your DLT pipelines and make them more flexible for different environments.

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