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

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

Assessment

Interactive Video

Information Technology (IT), Architecture

University

Hard

Created by

Wayground Content

FREE Resource

The video tutorial explains the concept of 'group by' in data frames, highlighting its ability to group data based on columns without needing key-value pairs. It demonstrates using Spark to create groups and emphasizes the necessity of performing aggregations like sum, count, max, min, and average after grouping. The tutorial also covers practical examples of these aggregation functions, ensuring a comprehensive understanding of data grouping and analysis.

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10 questions

Show all answers

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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