In Entity Framework, ________ loading can be achieved by using the Include method with DbSet queries.

  • Deferred
  • Eager
  • Immediate
  • Lazy
In Entity Framework, eager loading can be achieved by using the Include method with DbSet queries. Eager loading allows you to retrieve related entities along with the main entities in a single query, reducing the number of database round trips and improving performance.

When detaching entities from the context, ________ method of DbContext is commonly used.

  • Detach
  • Dispose
  • Remove
  • Unload
The correct method is Detach. When you detach an entity from the context, it will no longer be tracked by the context for changes. This can be useful when you want to manipulate an entity outside of the context's scope.

To handle optimistic concurrency in Entity Framework, the ________ attribute is used on entity properties.

  • ConcurrencyCheck
  • OptimisticConcurrency
  • Timestamp
  • Version
The correct attribute is ConcurrencyCheck. Adding this attribute to properties ensures that Entity Framework checks for concurrency conflicts when updating or deleting rows in the database, ensuring data integrity in a multi-user environment.

In a disconnected scenario, the ________ method of DbSet is used to update an existing entity.

  • Attach
  • Modify
  • Refresh
  • Update
The correct method is Attach. In a disconnected scenario, when you have an entity that was not originally tracked by the context, you use the Attach method to attach it to the context so that any changes made to it can be persisted back to the database.

Which method in DbContext is used to save changes to the database?

  • CommitChanges()
  • SaveChanges()
  • SubmitChanges()
  • UpdateDatabase()
In Entity Framework, the SaveChanges() method in the DbContext is used to persist changes made to entities to the underlying database. When you modify, add, or delete entities in a DbContext, you need to call SaveChanges() to ensure that these changes are reflected in the database. This method executes SQL statements necessary to synchronize the state of the entities with the database, committing the changes within a transaction if all changes succeed.

In a scenario where multiple users are modifying the same data, how does DbContext ensure data integrity?

  • Automatic conflict resolution
  • Explicit locking
  • Optimistic concurrency control
  • Pessimistic concurrency control
DbContext utilizes optimistic concurrency control to ensure data integrity in scenarios where multiple users are modifying the same data. This approach relies on versioning and optimistic locking to detect and handle conflicts, minimizing the risk of data inconsistency.

When implementing a complex transaction involving multiple DbSet operations, how does DbContext manage these operations to ensure data consistency?

  • DbContext applies compensating transactions for rollback
  • DbContext employs distributed transactions for consistency
  • DbContext ensures atomicity of transactions
  • DbContext uses savepoints to isolate operations
DbContext ensures atomicity of transactions when dealing with complex transactions involving multiple DbSet operations. This ensures that either all operations within the transaction are successfully completed, or none of them are, maintaining data consistency.

What is a key advantage of the Database-First approach in Entity Framework?

  • Better Performance
  • Full Control over Database
  • Less Dependency on ORM Framework
  • Rapid Development
A key advantage of the Database-First approach in Entity Framework is rapid development. This approach allows developers to quickly generate entity classes and the context from an existing database, speeding up development time.

In Model-First approach, which tool is typically used to create the conceptual model?

  • Code-First Migration
  • Database Designer
  • Entity Data Model Designer (EDMX)
  • LINQ to Entities
In the Model-First approach, the Entity Data Model Designer (EDMX) is typically used to create the conceptual model. This tool allows developers to visually design the model and generate the corresponding code.

Consider a scenario where a large dataset needs to be processed efficiently. How would you optimize DbContext to handle this?

  • Disable change tracking
  • Implement lazy loading for better memory management
  • Increase command timeout for longer processing
  • Use batch processing for bulk operations
To optimize DbContext for processing large datasets efficiently, batch processing is recommended. By grouping multiple operations into a single batch, it reduces the overhead of round trips to the database, resulting in improved performance.