PySpark and AWS: Master Big Data with PySpark and AWS - Spark DF (Group By)

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Information Technology (IT), Architecture
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Hard
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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of the 'group by' function in data frames?
To sort data alphabetically
To create groups based on column values
To delete duplicate rows
To merge multiple data frames
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it necessary to perform aggregations after grouping data?
To increase data size
To visualize the data
To ensure data integrity
To summarize the grouped data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which aggregation function would you use to find the total marks obtained by each group?
Count
Max
Sum
Average
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the 'count' aggregation function do when applied to grouped data?
Counts the number of rows in each group
Finds the average of values
Calculates the total sum of values
Identifies the maximum value in each group
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the 'max' function operate on grouped data?
It calculates the average value in each group
It finds the minimum value in each group
It sums up all values in each group
It identifies the highest value in each group
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of applying the 'min' function to a grouped dataset?
The lowest value in each group
The total number of rows in each group
The average value in each group
The sum of all values in each group
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which function would you use to calculate the average marks for each age group?
Max
Average
Sum
Count
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