Apache Spark Certification Practice Test

Question: 1 / 400

Which method is used to determine the number of partitions in an RDD?

RDD.getPartitions()

RDD.getPartCount()

RDD.numPartitions()

RDD.getnumpartitions()

The method used to determine the number of partitions in an RDD is `RDD.getNumPartitions()`. This method returns the number of partitions that the RDD is divided into, which is crucial for understanding how the data is distributed across the Spark cluster. Proper partitioning can significantly affect the performance of Spark applications, as it influences parallelism and resource utilization.

The ability to retrieve the number of partitions is essential for optimizing Spark applications, as it allows developers to make informed decisions about how to adjust partitioning and leverage parallel computation effectively.

In this case, the other choices listed do not accurately reflect the correct method for obtaining the number of partitions. Understanding and using the correct method ensures that you can manage and manipulate RDDs efficiently within your Spark applications.

Get further explanation with Examzify DeepDiveBeta
Next Question

Report this question

Download Apache Spark Certification Practice Test PDF Study Guide
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy