Why might we need to pre-bake aggregations in Elasticsearch?
Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Data Frame Transforms

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To eliminate the need for machine learning
To improve performance and provide more analysis options
To reduce data storage requirements
To simplify data visualization
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in creating a transform in Elasticsearch?
Running the transform
Defining the transform
Indexing the data
Visualizing the data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT a required part of a transform definition?
Visualization type
Identifier
Destination index
Source index
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a 'pivot' in the context of Elasticsearch transforms?
A tool for data cleaning
A way to store raw data
A method to define transformation mechanisms
A type of data visualization
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which aggregation method is used to group data based on numeric intervals?
Terms aggregation
Histogram aggregation
Date histogram aggregation
Scripted metric aggregation
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What scripting language is used for scripted metrics in Elasticsearch?
JavaScript
Ruby
Painless
Python
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of the 'init_script' in scripted metric aggregations?
To aggregate results from all shards
To finalize the aggregation results
To initialize variables before execution
To execute the main calculations
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