What is the main purpose of using nested aggregations in the context of the Star Wars movie ratings example?
Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Nested Aggregations - Part 1

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To eliminate duplicate entries
To increase the number of data points
To compute average ratings for each movie
To simplify the data structure
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in the query process to find Star Wars movies?
Sort by box office earnings
Filter by release year
Match the phrase 'Star Wars' in the title
Aggregate by movie genre
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential issue when aggregating on text fields?
Data loss
Inability to sort data
Increased processing time
Unexpected results due to text field nuances
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it important to use tabs and proper formatting when constructing a complex query?
To reduce the size of the query
To make the query run faster
To ensure the query is syntactically correct
To improve readability and understand nesting
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the 'titles' aggregation in the query?
To sort movies by their release date
To filter out non-Star Wars movies
To group ratings by individual movie titles
To calculate the total number of ratings
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is it necessary to understand the difference between the ratings index and the movies index?
To speed up the query execution
To ensure all movies are included
To reduce the complexity of the query
To avoid aggregating incorrect data
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the final step in the nested aggregation process for Star Wars movies?
Calculate the total number of ratings
Compute the average rating for each title
Sort the movies by their average rating
Filter out movies with low ratings
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