PySpark and AWS: Master Big Data with PySpark and AWS - Running Spark

PySpark and AWS: Master Big Data with PySpark and AWS - Running Spark

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

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5 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What command is used to verify if Spark is installed correctly on a local machine?

spark-check

spark-shell

spark-run

spark-verify

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do you exit the Spark Shell?

Closing the terminal window

Typing 'exit' and pressing Enter

Pressing Ctrl + C and then Y

Pressing Ctrl + D

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main difference between a regular Python terminal and a PySpark terminal?

PySpark terminal is faster than Python terminal

PySpark terminal supports Java commands

PySpark terminal is used for running Spark jobs

PySpark terminal has a different color scheme

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is Databricks preferred for writing code in this course?

It supports more programming languages

It has better graphics

It requires no setup and is manageable

It is free to use

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What was confirmed to be working correctly on the local machine by the end of the video?

Both Spark Shell and PySpark

Only PySpark

Only Spark Shell

Neither Spark Shell nor PySpark