Using Table-Per-Type (TPT) inheritance strategy in Entity Framework can lead to increased number of JOIN operations, as each entity type has its own table. This can impact performance, especially in large datasets, due to the increased complexity of queries and the need for multiple JOIN operations to retrieve related data.

In Entity Framework, polymorphic behavior in a data model can be implemented using Table-Per-Hierarchy (TPH) inheritance strategy, where all types in the hierarchy are mapped to a single table. This approach simplifies the schema but may lead to NULL values for non-common attributes. It's suitable for scenarios with fewer subtypes and shared attributes.

The primary challenge of using the Table-Per-Concrete class (TPC) inheritance strategy in Entity Framework is the duplication of columns in the database. Each concrete type in the inheritance hierarchy gets its own table, leading to duplicated columns for shared properties across multiple types. This duplication can result in redundancy and increased storage space.

In the Table-Per-Hierarchy (TPH) inheritance strategy, Entity Framework differentiates between different types by adding a discriminator column to the table. This column stores a value that indicates the type of each entity. This approach allows all entities in the hierarchy to be stored in a single table, simplifying the database schema.

By default, Entity Framework represents inheritance in a relational database using the "Table per hierarchy" strategy. In this approach, a single table is used to store data for all types in the inheritance hierarchy. Columns corresponding to properties of all types are included in this table, with a discriminator column used to determine the actual type of each row.

The Table Per Concrete class (TPC) strategy would be suitable for mapping a complex hierarchy into a database with minimal tables while still allowing efficient querying of specific types. By creating a table for each concrete class, TPC maintains a clear and concise database schema, making it easier to understand and manage. However, this strategy may result in redundant columns and potential data duplication, as each table represents a specific class in the hierarchy. Developers should carefully consider the trade-offs between simplicity and redundancy when choosing TPC for their Entity Framework implementation.

In the scenario of animal classification, where various categories with shared and unique characteristics need to be represented, the Table Per Type (TPT) strategy would be effective. This strategy creates a separate table for each type, allowing for efficient queries on specific types without the overhead of unused columns or complex joins. By ensuring each entity type has its own table, TPT optimizes query performance and maintains a clear structure in the database schema.

Table Per Hierarchy (TPH) strategy combines all entity types into a single table, which can lead to more efficient queries as it minimizes joins and reduces the complexity of the database schema. However, it may result in unused columns for certain entity types and can make the table less normalized. This strategy is suitable when there are few unique attributes across different types and when query performance is a priority.

In Table Per Type (TPT) inheritance, one common challenge is the issue of Impedance due to multiple table joins. This can impact query performance and efficiency, so developers must optimize their queries accordingly to mitigate this issue.

In Entity Framework, the MapInheritedProperties method in Fluent API is employed in advanced scenarios to configure complex inheritance mappings. It allows developers to specify how properties are inherited and mapped between different entities.

In Table Per Hierarchy (TPH) inheritance in Entity Framework, the Discriminator attribute is used to specify the column that serves as the discriminator. This column helps EF distinguish between different types of entities stored in the same table.

The Table-Per-Concrete (TPC) strategy involves creating a single table for the base class and separate tables for each derived class. Each table contains all properties of the corresponding class, resulting in a denormalized database schema.