What is the error that occurs when attempting to write a spark dataframe to Cloud Storage?

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The error that occurs when attempting to write a spark dataframe to Cloud Storage can vary depending on the specific issue encountered. Some common errors include: - Authorization/authentication errors: This can occur if the user does not have the necessary permissions or if the credentials provided are invalid. - Path/URI errors: This can occur if the path or URI provided is incorrect or inaccessible. - Format errors: This can occur if the format of the data being written is incompatible with the target Cloud Storage service. - Network/connection errors: This can occur if there are issues with the network or connection between the Spark cluster and the Cloud Storage service. - Resource limitations: This can occur if the user has exceeded quota limits or if the Cloud Storage service is experiencing capacity issues.