Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Overview of Elasticsearch

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Information Technology (IT), Architecture
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University
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Hard
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7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the original purpose of Elasticsearch when it was first developed?
To serve as a scalable version of the Lucene search framework
To replace Hadoop and Spark for data processing
To provide a graphical user interface for data visualization
To offer machine learning capabilities
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does Elasticsearch primarily handle data requests?
Using SQL queries
By handling JSON requests
By processing XML requests
Through a graphical user interface
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the main function of Kibana in the Elastic Stack?
To replace Logstash for data ingestion
To visualize and analyze data stored in Elasticsearch
To provide a command-line interface for Elasticsearch
To manage Elasticsearch clusters
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which component of the Elastic Stack is used for log analysis and visualization?
Beats
Xpac
Kibana
Logstash
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which tool is used for real-time data publishing into Elasticsearch?
Xpac
Kibana
Logstash
Lucene
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What additional features does Xpac provide to Elasticsearch?
Graphical user interface
Security, alerting, and monitoring
Data ingestion capabilities
Full-text search
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of the Beats framework in the Elastic Stack?
To provide a graphical interface for Elasticsearch
To handle JSON requests
To publish data into Elasticsearch in real-time
To offer machine learning capabilities
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