PySpark and AWS: Master Big Data with PySpark and AWS - Create Databricks Notebook

This video tutorial guides users through the process of logging into the Databricks community edition, creating a cluster, and setting up a notebook. It covers the steps to configure the cluster, create a new notebook, and attach the cluster to the notebook. The tutorial concludes with running a simple Hello World program to verify the setup. The video aims to familiarize users with the basic operations in Databricks, preparing them for more advanced tasks in future tutorials.

What is the first step to access the Databricks Community Edition?

• Create a new cluster

• Search for Databricks Community Edition login

• Write a 'Hello World' program

• Select a runtime version

What is the purpose of creating a cluster in Databricks?

• To manage user credentials

• To explore machine learning models

• To run Spark in a distributed fashion

• To write Python code

Which of the following is NOT required when creating a cluster?

• Entering your email ID

• Changing the availability zone

• Specifying a cluster name

• Choosing a runtime version

What is the default language used in the notebook created in the tutorial?

• Scala

• Java

• R

• Python

What should you do if the cluster is not attaching to the notebook?

• Restart your computer

• Create a new cluster

• Change the runtime version

• Refresh the page