About Elasticsearch

Following are some of the multiple choice questions on the Elasticsearch with answers that will help the students in developing their knowledge.

Elasticsearch MCQ

1. How is the data stored in Elasticsearch?

  • Documents
  • Hard drives
  • Tables
  • All of the answers are corrects

2. How does Elasticsearch scale the volume of data?

  • By adding more nodes
  • By using replication
  • By using sharding
  • none of the above

3. How many shards are added to an index by default?

  • 1
  • 5
  • 8
  • 2

4. What characterizes queries within a query context?

  • Such queries affect relevance scores
  • Such queries don't affect relevance scores

5. What characterizes term level queries?

  • Term level queries match exact values and are not analyzed
  • Term level queries match exact values and are analyzed

6. What characterizes full-text queries?

  • Full-text queries are analyzed using the "standard" analyzer
  • Full text queries are not analyzed
  • Full text queries are analyzed using the analyzer defined for the searched field (or "standard" if none is defined)
  • Full text queries search the inverted index instead of the documents themselves

7. Elasticsearch is built only for full-text search of documents?

  • True
  • False

8. An index configured for 5 primary shards and 3 replicas.How many shards in total are there in this index?

  • 15
  • 20
  • 8
  • 18

9. What are the benefits of Elasticsearch?

  • Scalability, Performance, distributed Architecture, Relational Database
  • Database & Schema free
  • Scalability, Performance, distributed Architecture, document-oriented
  • Speed, Performance, distributed Architecture, document-oriented database

10. What is the main Elasticsearch configuration file?

  • /etc/elasticsearch.yml
  • /var/log/elasticsearch.yml
  • /etc/elasticsearch/elasticsearch.yml
  • /etc/elasticsearch/elastic.yml

11. What interface does elasticsearch offer to communicate with the database?

  • Terminal
  • Http Api rest
  • Curl
  • Kibana

12. What are benefits of Elasticsearch?

  • Scalability, Performance, distributed Architecture, realtional Database
  • Scalability, Performance, distributed Architecture, document-oriented Database & Schema free
  • Speed, Performance, distributed Architecture, document-oriented Database & Schema free
  • none of the above

13. What are use cases of Elasticsearch?

  • Logging and Log Analysis
  • Data Visualisation
  • Full-text search
  • All of above

14. What is an index in elasticsearch?

  • a mapping that defines multiple types
  • like a database in a relational database
  • a value that defines one variable
  • Both (a) & (b)

15. How is data stored in Elasticsearch?

  • tables
  • documents

16. What are important features of Elasticsearch?

  • Full-text search
  • Open source
  • Code reusability
  • Both (a) & (b)

17. What is the Elastic Stack?

  • collection of open-source products (elasticsearch, LogStash, Kibana, Beats)
  • collection of closed-source products (elasticsearch, Logstash, Kibana, Beats)
  • collection of open-source products (elasticsearch, LogStash, Kibana, HeartBeat)
  • collection of closed-source products (elasticsearch, LogStash, Kibana, HeartBeat)

18. What kind of database is Elasticsearch?

  • NoSQL
  • Object Oriented
  • Relational
  • Graph

19. What is the minimum number of Master Nodes needed in a cluster?

  • 1
  • 2
  • 0
  • 3

20. These are some of the types of nodes of an Elasticsearch cluster:

  • Master, Data, Coordinating
  • Master, Slave, Agent
  • Controller, Worker, Storage
  • Internal, External, Bridge

21. Kibana is a tool that is used for:

  • Service discovery
  • Data visualization
  • Container orchestration
  • Shipping data

22. What Elastic Beat is used for shipping data from files?

  • Metricbeat
  • Heartbeat
  • Filebeat
  • Packetbeat

23. What is elasticsearch?

  • real-time distributed and open soucre full-text search and analytics engine
  • open source relational database
  • real-time and open source search no-text and analytics engine
  • none of the above

24. What is Kibana?

  • graph visualization tool
  • dashbord visualisation tool
  • open source browser visualisation tool
  • All of above

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