PySpark and AWS: Master Big Data with PySpark and AWS - Running Spark
Interactive Video
•
Information Technology (IT), Architecture
•
University
•
Hard
Wayground Content
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5 questions
Show all answers
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
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