Apache Spark Certification Practice Test

The command used to read a file into an RDD (Resilient Distributed Dataset) in Python is sc.textFile('foo.txt'). This command is part of the SparkContext API, where 'sc' typically represents the SparkContext. By using this command, Spark reads the file specified (in this case, 'foo.txt') and distributes the content into partitions, creating an RDD that can be processed in parallel across the cluster.

This function can handle large-scale data and is commonly used for reading text files. It efficiently splits the input file into manageable chunks that can be processed simultaneously, thereby leveraging the distributed nature of Spark for performance gains.

The other commands listed would not work as intended. For instance, while 'sc.loadTextFile' suggests a similar method, it does not exist within the Spark API. Similarly, 'sc.importFile' and 'sc.readTextFile' are not valid methods in the PySpark context for reading text files into an RDD. Therefore, understanding the specific syntax and available methods is crucial for effectively utilizing the Spark framework.