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MCQs

Total Questions : 24 | Page 2 of 3 pages
Question 11. How many shards are added to an index by default?
  1.    1
  2.    5
  3.    8
  4.    2
 Discuss Question
Answer: Option A. -> 1
Question 12. How does Elasticsearch scale the volume of data?
  1.    By adding more nodes
  2.    By using replication
  3.    By using sharding
  4.    none of the above
 Discuss Question
Answer: Option C. -> By using sharding
Question 13. What are use cases of Elasticsearch?
  1.    Logging and Log Analysis
  2.    Data Visualisation
  3.    Full-text search
  4.    All of above
 Discuss Question
Answer: Option D. -> All of above
Question 14. What is an index in elasticsearch?
  1.    a mapping that defines multiple types
  2.    like a database in a relational database
  3.    a value that defines one variable
  4.    Both (a) & (b)
 Discuss Question
Answer: Option D. -> Both (a) & (b)
Question 15. What are benefits of Elasticsearch?
  1.    Scalability, Performance, distributed Architecture, realtional Database
  2.    Scalability, Performance, distributed Architecture, document-oriented Database & Schema free
  3.    Speed, Performance, distributed Architecture, document-oriented Database & Schema free
  4.    none of the above
 Discuss Question
Answer: Option B. -> Scalability, Performance, distributed Architecture, document-oriented Database & Schema free
Question 16. Elasticsearch is built only for full-text search of documents?
  1.    True
  2.    False
 Discuss Question
Answer: Option B. -> False
Question 17. An index configured for 5 primary shards and 3 replicas
  1.    15
  2.    20
  3.    8
  4.    18
 Discuss Question
Answer: Option B. -> 20
Question 18. What characterizes queries within a query context?
  1.    Such queries affect relevance scores
  2.    Such queries don't affect relevance scores
 Discuss Question
Answer: Option A. -> Such queries affect relevance scores
Question 19. What characterizes full-text queries?
  1.    Full-text queries are analyzed using the "standard" analyzer
  2.    Full text queries are not analyzed
  3.    Full text queries are analyzed using the analyzer defined for the searched field (or "standard" if none is defined)
  4.    Full text queries search the inverted index instead of the documents themselves
 Discuss Question
Answer: Option C. -> Full text queries are analyzed using the analyzer defined for the searched field (or "standard" if none is defined)
Question 20. What characterizes term level queries?
  1.    Term level queries match exact values and are not analyzed
  2.    Term level queries match exact values and are analyzed
 Discuss Question
Answer: Option A. -> Term level queries match exact values and are not analyzed

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