Answer / Aditya Kumar Thakur

"Apache Spark supports multiple Cluster Managers to manage the distributed execution of tasks. Some common ones are:

1. Standalone: A simple and self-contained Spark cluster management system that doesn't require any external resources.
2. Hadoop YARN: Apache Hadoop’s resource management system, which allows multiple applications to share a single Hadoop cluster.
3. Mesos: A scalable, distributed systems framework for running applications across clusters of commodity hardware, supported by both Spark Standalone and YARN."

Do we need scala for spark?

1 Answers  

---

Are spark dataframes immutable?

1 Answers  

---

What are the various modes in which Spark runs on YARN? (Local vs Client vs Cluster Mode)

1 Answers  

---

Where is spark rdd?

1 Answers  

---

Why does the picture of Spark come into existence?

1 Answers  

---

Name the components of spark ecosystem.

1 Answers  

---

What is spark context spark session?

1 Answers  

---

How do you parse data in xml? Which kind of class do you use with java to parse data?

1 Answers  

---

What are the exact differences between reduce and fold operation in Spark?

1 Answers  

---

What are the various data sources available in SparkSQL?

1 Answers  

---

Explain values() operation in apache spark?

1 Answers  

---

Explain foreach() operation in apache spark?

1 Answers  

---