databricks · Certified-Associate-Developer-for-Apache-Spark · Q424 · multiple_choice · topic_1

Which of the following describes the Spark driver?

A.The Spark driver is responsible for performing all execution in all execution modes – it is the entire Spark application.
B.The Spare driver is fault tolerant – if it fails, it will recover the entire Spark application.
C.The Spark driver is the coarsest level of the Spark execution hierarchy – it is synonymous with the Spark application.
D.The Spark driver is the program space in which the Spark application’s main method runs coordinating the Spark entire application.
E.The Spark driver is horizontally scaled to increase overall processing throughput of a Spark application.

Explanation

Answer: D Receives the user's code and breaks it into tasks for execution. Orchestrates the execution plan and optimizes the Spark job. Coordinates with cluster managers to allocate resources for tasks. Collects and aggregates results from distributed workers. Maintains the metadata and state of the Spark application during its execution.

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