Spark Programming in Python for Beginners with Apache Spark 3 - Dataframe Rows and Unstructured data

Interactive Video
•
Information Technology (IT), Architecture, Social Studies
•
University
•
Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a key challenge when working with unstructured data in Spark?
Excessive data volume
Too many columns
Absence of a schema
Lack of data storage
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of file is used as an example of unstructured data in the video?
JSON file
Apache web server log file
XML file
CSV file
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which method is used to extract fields from a string in a dataframe?
groupBy
filter
regexp_extract
selectExpr
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How many fields does the regular expression extract from the log entries?
5
8
11
15
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the benefit of transforming unstructured data into a structured dataframe?
It improves data visualization
It allows for easier data analysis
It increases data security
It reduces data size
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What issue arises when grouping by the referer in the analysis?
Duplicate entries
Incorrect URL aggregation
Missing data
Excessive computation time
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What transformation is suggested to fix the referer aggregation issue?
Using a different regular expression
Filtering out null values
Transforming the referer column to home URLs
Adding more fields to the dataframe
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