Final answer:
No, Spark does not need to be installed on all nodes of a Yarn cluster; it can be installed on a single node and utilize YARN's resources management for distributed processing.
Step-by-step explanation:
To answer your question regarding the installation of Apache Spark on a Yarn cluster: b. No, Spark can be installed on a single node. It is not necessary to install Spark on all nodes of a Yarn cluster. When you submit a Spark job, the Spark context can access YARN’s resource management capabilities to distribute the work across the nodes. However, what is critical is that all the worker nodes have access to the same Spark application through a shared file system or have it distributed to them when the application starts.