Which of the following is true about the Spark Context in a Spark application?

The Spark Context is crucial for any Spark application as it initializes the computation environment. This component serves as the main entry point for Spark functionality and allows the application to connect to a Spark cluster. When you create a Spark Context, it is responsible for setting up the necessary configurations and starting the services needed to run Spark applications. It orchestrates the execution of tasks and manages the lifecycle of the application, including configurations and communication with the cluster manager, enabling resource allocation and scheduling.

While the other statements touch upon aspects of Spark's operation, they do not entirely capture the primary role of the Spark Context. For example, it does not need to be defined globally, nor is it limited to being created only on a master node. Furthermore, while it plays a role in managing resources, that function is more about facilitating the connection and communication between the application and the cluster infrastructure rather than direct resource management.