Overwrite Scheme on Delta Live Tables workflow

Question

I am new to Delta Live Tables and have been working with a relatively simple pipeline.

The table that I am having an issue is as follows:

@dlt.table(
    table_properties={ "quality" : "silver" }
)
def silver_catalog_product():
    
    eav_attributes = dlt.read("eav_attribute");
    
    entityDf = dlt.read("product_entity")   
    
    entity_datetime_Df = dlt.read("product_entity_datetime")  
    entity_datetime_Df = entity_datetime_Df.join(eav_attributes,entity_datetime_Df.attribute_id ==  eav_attributes.attribute_id,"inner")
    entity_datetime_Df = entity_datetime_Df.groupBy("entity_id").pivot("attribute_code").agg(first("value"))
    
    df = (entityDf
          .join(entity_datetime_Df, entityDf.entity_id == entity_datetime_Df.entity_id, "inner")
          .drop(entity_datetime_Df.entity_id)
     )
    
    return df

However, when the pipeline runs I get the following error:

To enable schema migration using DataFrameWriter or DataStreamWriter, please set:
'.option("mergeSchema", "true")'.
For other operations, set the session configuration
spark.databricks.delta.schema.autoMerge.enabled to "true". See the documentation
specific to the operation for details.

Table schema:
root
-- entity_id: long (nullable = true)
-- entity_type_id: integer (nullable = true)
-- attribute_set_id: integer (nullable = true)
-- type_id: string (nullable = true)
-- sku: string (nullable = true)
-- created_at: timestamp (nullable = true)
-- updated_at: timestamp (nullable = true)
-- has_options: integer (nullable = true)
-- required_options: integer (nullable = true)


Data schema:
root
-- entity_id: long (nullable = true)
-- entity_type_id: integer (nullable = true)
-- attribute_set_id: integer (nullable = true)
-- type_id: string (nullable = true)
-- sku: string (nullable = true)
-- created_at: timestamp (nullable = true)
-- updated_at: timestamp (nullable = true)
-- has_options: integer (nullable = true)
-- required_options: integer (nullable = true)
-- custom_design_from: timestamp (nullable = true)
-- custom_design_to: timestamp (nullable = true)
-- news_from_date: timestamp (nullable = true)
-- news_to_date: timestamp (nullable = true)
-- price_update_type_revert_date: timestamp (nullable = true)
-- special_from_date: timestamp (nullable = true)
-- special_to_date: timestamp (nullable = true)

         
To overwrite your schema or change partitioning, please set:
'.option("overwriteSchema", "true")'.

Note that the schema can't be overwritten when using
'replaceWhere'.

I have two main questions.

1. The suggestions indicate .option("overwriteSchema", "true") or .option("mergeSchema", "true"). I am familiar with these options in a regular Delta pyspark job but I have no idea, nor can I find any documentation on how to enable 'overwriteSchema' in Delta Live Tables.
2. Why is the job inferring the schema as the entityDf table and not the actual dataframe df being returned in the query?