You are designing a Windows Presentation Foundation (WPF) application that will process data. The data is stored in a Microsoft SQL Server 2008 database. You plan to access the data by using ADO.NET Entity Framework 4.

You need to recommend an approach that minimizes the number of calls to the database server.

What should you recommend?

A.
Use lazy loading.

B.
Use SqlDependency objects.

C.
Use change tracking in the ObjectContext object.

D.
Use eager loading.

Explanation:
If we only consider number of calls it has to be D. since eager loading loads all related entities.
SqlDependency objects. (If we had to query the database for the entitlements on every single alert that flows through our system, we would take a tremendous hit in performance. Therefore, we cache the entitlements in memory and cache the result sets.) http://magmasystems.blogspot.com/2008/09/ sqldependency-object-and-entitlements.html
Change Tracking
Once the View Generation cost is eliminated, the most expensive operation is Object Materialization. This operation eats up 75% of your query time because it has to read from the DbDataReader object and create an object. When you are using the Entity Framework, you have objects that represent the tables in your database. These objects are created by an internal process called object materialization. This process takes the returned data and builds the relevant objects for you. The object can be EntityObject derived objects, anonymous types, or DbDataRecord DbDataRecord.
The ObjectContext object will create an ObjectStateEntry object to help track changes made to related entities. Objects are tracked when queried, added, or attached to the cached references inside this class.
The tracking behavior is specified using the MergeOption enumeration. When updates to properties of the tracked objects occur, the properties are marked as modified and the original values are kept for performing updates back to the database. This enables users to write code against the objects themselves and call SaveChanges.
We can minimize the overhead of change tracking by using the MergeOption.NoTracking option. Doing so will increase the performance of your system in most situations. The loss of change tracking is irrelevant if you are sending your data across the network via a web service because this feature will not work in a “disconnected” mode. Even if you are not disconnected, you can use this option in a page where there are no updates to the database. Take a look at the code snippet below for one example of how to disable change tracking:
Eager loading returns all related entities together with the queried entities in a single query. This means that, while there is only one connection made to the data source, a larger amount of data is returned in the initial query. Also, query paths result in a more complex query because of the additional joins that are required in the query that is executed against the data source.
Explicit and lazy loading enables you to postpone the request for related object data until that data is actually needed. This yields a less complex initial query that returns less total data. However, each successive loading of a related object makes a connection to the data source and executes a query. In the case of lazy loading, this connection occurs whenever a navigation property is accessed and the related entity is not already loaded. If you are concerned about which related entities are returned by the initial query or with managing the timing of when related entities are loaded from the data source, you should consider disabling lazy loading. Lazy loading is enabled in the constructor of the Entity Framework- generated object context.
Lazy loading
In this type of loading, related entities are automatically loaded from the data source when you access a navigation property. With this type of loading, be aware that each navigation property that you access results in a separate query executing against the data source if the entity is not already in the ObjectContext.
Eager loading
When you know the exact shape of the graph of related entities that your application requires, you can use the Include method on the ObjectQuery to define a query path that controls which related entities to return as part of the initial query.
When you define a query path, only a single request against the database is required to return all entities defined by the path in a single result set, and all related entities of the type specified in the path are loaded with each object that the query returns.