Scala & Spark-Master Big Data with Scala and Spark - Setting Up DataBricks Cluster

The video tutorial guides users through setting up a Spark cluster on Databricks, explaining the process of creating a cluster, the benefits of a premium account, and how to create and assign a notebook. It also provides tips for efficient cluster management, especially for free account users, emphasizing the importance of pre-spinning clusters to save time.

What is the primary advantage of using a premium Databricks account?

• Ability to attach multiple clusters

• Access to a dedicated cluster

• Increased storage capacity

• Free access to all features

What is the first step in creating a new cluster on Databricks?

• Creating a new notebook

• Choosing the availability zone

• Naming the cluster

• Selecting the runtime version

Which programming language is used in the tutorial for writing code in the notebook?

• Python

• Java

• Scala

• R

What should you do if your cluster is not present when you return to Databricks?

• Create a new cluster

• Refresh the page

• Contact support

• Wait for it to appear

Why is it important to spin up a cluster a few minutes before starting work?

• To ensure it is available when needed

• To avoid additional charges

• To prevent data loss

• To improve code execution speed