Apache Spark Certification Practice Test

The selection of a submission mode in Apache Spark is crucial as it defines how your Spark application interacts with the cluster. The valid submission modes include Local, Mesos, and YARN.

Local mode allows Spark to run your application on a single machine, which is useful for testing or small datasets. Mesos is a resource manager that can manage resources across different frameworks, making it a valid submission mode for running Spark applications in a distributed setup. YARN, short for Yet Another Resource Negotiator, is another resource management system widely used in the Hadoop ecosystem, which allows Spark applications to share resources along with other applications efficiently.

The term "Remote" is not a recognized submission mode in the context of Apache Spark. Instead, Spark typically refers to the actual cluster manager (like Mesos or YARN) when discussing distributed access. Thus, stating Remote as a submission mode lacks the specificity and accuracy that the framework requires. Understanding the correct modes is essential for deploying applications effectively in different environments.