What is the primary purpose of Query Lite in Elasticsearch?
Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - "Query Lite" Interface

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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
To replace JSON requests in production
To improve the speed of search requests
To simplify experimenting with search requests
To enhance security in search queries
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of a simple Query Lite search?
Searching for movies released before 2000
Searching for movies with 'star' in the title
Searching for movies with a specific director
Searching for movies with a specific actor
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What type of operations can be performed using Query Lite?
Graph-based searches
Only numerical comparisons
Boolean and relational operations
Only simple keyword searches
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Why is URL encoding necessary when using Query Lite?
To enhance the readability of the query
To allow for more complex queries
To ensure secure transmission over the internet
To increase the speed of the query
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a potential security risk of using Query Lite?
It exposes the server's IP address
It allows users to modify server configurations
It allows users to access the server's file system
It can enable users to send arbitrary data to the server
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In what context is Query Lite most suitable?
For quick experimentation and testing
For large-scale data analysis
For production environments
For secure data transmission
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a major drawback of using Query Lite for complex queries?
It becomes cryptic and hard to debug
It is too slow for complex queries
It requires extensive server resources
It cannot handle Boolean operations
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