Answer Posted / Rishabh Kanthariya

"To save an RDD (Resilient Distributed Dataset) in Apache Spark, you can use the saveAsTextFile() or saveAsHadoopFiles() methods. Here's an example for saving as text file:

```python
rdd.saveAsTextFile('output_path')
```

For saving as a specific format, such as CSV or Parquet, you can use saveAsTextFile('output_path', use_partitioning=True) followed by converting the RDD to required format using appropriate transformations."

List the advantage of Parquet file in Apache Spark?

474

What is meant by Transformation? Give some examples.

328

Explain how RDDs work with Scala in Spark

355

What is the latest version of spark?

288