Which of the following statements is false?
A) A SparkContext (from module pyspark) object gives you access to Spark's capabilities in Python.
B) Many Spark environments create the SparkContext for you, but in the Jupyter pyspark-notebook Docker stack, you must create this object.
C) Threads enable a single node cluster to execute portions of the Spark tasks xe "concurrent execution"concurrently to simulate the parallelism that Spark clusters provide.
D) When we say that two tasks are operating in parallel, we mean that they're both making progress at once-typically by executing a task for a short burst of time, then allowing another task to execute. When we say that two tasks are operating concurrently, we mean that they're executing simultaneously, which is one of the key benefits of Hadoop and Spark executing on cloud-based clusters of computers.

Question

Quizplus · Accepted Answer

The statement in option D is incorrect as it confuses the definition of parallelism and concurrency. Parallelism means multiple tasks are making progress at the same time by executing different parts of the same task or different tasks. Concurrency means multiple tasks are executing at the same time by using different resources. Spark relies on parallelism rather than concurrency to achieve its high performance.

Which of the Following Statements Is False