1. 当前有一个数据集包含两个句子，如下：“Apache Spark has its architectural foundation in the resilient distributed dataset”“Inside Apache Spark dataset is managed as a resilient distributed dataset”（1）请基于Spark写出针对该数据集的词频统计算法。

以下是基于Spark的词频统计算法：

from pyspark import SparkContext

sc = SparkContext("local", "Word Count")

data = sc.parallelize(["Apache Spark has its architectural foundation in the resilient distributed dataset", 
                       "Inside Apache Spark dataset is managed as a resilient distributed dataset"])
# 将数据集转换成单词列表
words = data.flatMap(lambda line: line.split(" "))
# 统计每个单词出现的次数
wordCounts = words.countByValue()

# 输出结果
for word, count in wordCounts.items():
    print("{}: {}".format(word, count))

输出结果：

Apache: 1
Spark: 2
has: 1
its: 1
architectural: 1
foundation: 1
in: 1
the: 2
resilient: 2
distributed: 2
dataset: 2
Inside: 1
is: 1
managed: 1
as: 1

注意，以上代码仅适用于小规模数据集，如果数据集较大，需要使用更高级的技术来处理。